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ORCIDIC3I 2024: Greater Noida, India
- 7th International Conference on Contemporary Computing and Informatics, IC3I 2024, Greater Noida, India, September 18-20, 2024. IEEE 2024, ISBN 979-8-3503-5006-7
- B. T. Geetha, Nekkanti Renu
, Vivek Kumar, Bipin Sule, Sumeet Gupta, R. Revathi:
Blockchain-Empowered Security in Smart Home Networks: A Fusion of Machine Learning. 1-5 - Methily Johri, Yogesh Mangal, Nidhi Parashar, Aditri Ashish, Kumud:
Optimizing Crop Yield Prediction using Machine Learning and Deep Learning Approach. 1-5 - S. V. Kiranmayi Sridhara, B. Elisha Raju, G. S. Charitha, B. Rosey Sharon, P. S. S. N. Mowlika, K. Ramesh Chandra:
Advancing Biomedical Imaging Through High-Resolution Image Segmentation and Computational Modelling Using Convolutional Nueral Networks. 1-4 - B. Elisha Raju, K. Ramesh Chandra, K. N. Venkata Narasimha Gupta, K. Naga Venkateshwara Rao, R. Devi, P. J. N. V. V. S. M. Vinay Kumar:
Fuzzy Logic-Enhanced Multi-Sensor Hardware Module for Real-time Fire Detection and Notification. 1-6 - Almiro Agnelo Gonsalves, Sufola Araujo, Dattaraj Alias Sarthak Poi Anglo, Sahil Rajesh Walawalkar, Dylan Julier Lobo:
Augmented Reality Experience Application- Area. 1-6 - Lalit Mohan Saini, Prerna Ajmani, V. Asha, Khobragade Pithamber, N. Sreevani:
KubeEdge for Scalable IoT Applications. 1-7 - V. Velantina, V. Manikandan, P. Manikandan:
An Enhanced Approach on Temporal Contrastive learning for Human Activity Recognition Using Deep Learning Technique. 1-5 - Pinki Gulia, Vikrant Sharma, Manik Rakhra, Kapil Jairath, Sakshi Suri, Rakesh Kumar:
Transportation Planning Decision-Making Using Intuitionistic Fuzzy Programming. 1-6 - K. Aravind, K. Sangeeta, Suman Avdhesh Yadav, Lavish Kansal, Monica Garg, N. Sirisha:
Unveiling the Nexus of Intelligence: Smart Grids Meter Infrastructure - A Holistic Probe into Security and Privacy Dynamics. 1-7 - Mihir Mishra, Reeta Mishra, Anjali Pandey, Mintu, Ishaan, Gopal:
VoiceSense: Designing A Robust Emotion Detection System. 1-7 - Yashasvi, P. Aswini, V. Revathi, Khobragade Pithamber:
A Survey of Machine Learning and Deep Learning Techniques for Classifying Dermatoscopic Images for Skin Cancer Prediction. 1-6 - Shiv Shankar Kumar Yadav, Gaurav Mishra:
Digital Entrepreneurship Ecosystem: An Exploration. 7-12 - Rama Kant, Sanjiv Kumar Singh, Richa Mishra, Ankit Goyal, Ashwani Kumar:
Detection of Brain Tumor using CNN with PCA and Transfer Learning. 13-18 - Kiran Preet Bedi, Jitendra Singh Jadon:
Abnormality Detection in Brain Tissue: A deep Learning Approach. 19-25 - Shiv Shankar Kumar Yadav, Gaurav Mishra:
Robotic Process Automation Applications Across Industries: An Exploration. 26-32 - Mufala Khan, Vikrant Sharma, Manik Rakhra, Kapil Jairath, Nitin Bhardwaj, Rakesh Kumar:
Pentagonal Fuzzy Numbers using Fuzzy Linear Regression Model. 39-43 - Raunak Raj, Veerpal Kaur, Gagandeep Kaur:
Machine Learning Approaches for Predicting Heart Attacks. 44-49 - Raunak Raj, Komal Arora, Neha Bagga, Manan Agarwal:
A Review of Machine Learning for Sustainable Development Goals. 50-54 - A Padmavathi, Laxmi Maurya:
Premature Birth Prediction Using Machine Learning Algorithms - A Comparative Analysis. 55-59 - A. Hency Juliet:
Deep Learning Model Design for Blood Cancer Prediction through AI-Driven Strategies. 60-65 - Adil Thakur, Shilpa Sharma, Puneet Thapar:
A Comprehensive Review of Plant Disease Detection and Analysis Using Machine Learning Techniques. 66-71 - Tiyas Sarkar, Manik Rakhra, Vikrant Sharma, Aryan Maan, Amanpreet Singh, Gagandeep Singh Cheema:
Comparative study on Loan Approval Prediction Utilizing Machine Learning Approaches. 72-78 - Pradeep Singh Rawat, Prateek Kumar Soni, Ritwik Purwar, Rishabh Dwivedi, Dipesh Chaudhary:
RSF: Smart Farming Using Machine Learning-Based Recommendation System. 79-84 - Hyndavi Gundapuneni, Aditya, Bukkaraya Samudram Naga Padma Maanasa, Shamneesh Sharma:
AI Based Technique for Language Translation: Breaking the Communication Barriers. 85-90 - Richa Sharma, Kiranpreet Kaur:
Hate Speech Detection using MLP and Random Forest. 91-96 - Richa Sharma, Mohit Sharma, Gurnimrat Singh:
Detection of Breast Abnormality using Machine Learning and Deep Learning Methods. 97-104 - Richa Sharma, Krishan Bansal, Yogesh Sharma, Shubham Shrivastava:
ML-Based Analysis on a Live Video Feed. 105-110 - S. V. Aravind Krishna, R. Prashanna, J. Midhru Jayan, G. Jeyakumar:
A Comparative Study on using Genetic Algorithm with DEAP framework on Different Optimization Problems. 111-117 - Mohd Waseem, Shailendra Narayan Singh:
Advanced Predictive Modelling for Bitcoin and Ethereum Price Dynamics. 118-122 - Chitranjan Prasad Sah, Manjot Kaur, Gurwinder Singh:
Robustness Analysis of Zero-Knowledge Proofs Technique using Subset Sum Problem. 123-128 - A. Hency Juliet:
Advancing Retinal Image Analysis for Neurodegenerative Disease Prediction and Detection Using Advanced Deep Learning Techniques. 129-135 - Tuba Amir Rana, Pradeep Singh Rawat, Akshay Singh, Unnati Thapliyal:
Optimizing Virtual Machine Placement in Cloud Computing Environments: A Comparative Study and Novel Approach. 136-143 - Karukonda Nithin Reddy, Munaga Sai Snehitha, Kamidi Sai Chandana Reddy, K. Dheeraj Reddy, Shinu M. Rajagopal, Niharika Panda:
Secured Steganography: Leveraging Cryptography in a Cloud-Based Toolbox. 144-150 - Deepak, Ankur Dumka, Bireshwar Dass Mazumdar:
Paradigm Shift in E-Commerce by Applying Cognitive Multi-Agent System with Machine Learning and Deep Learning Techniques. 151-154 - Saiful Islam Tuhin, Md. Sahadat Hossain Sani, Md. Arif Hasan Masum, Md. Wahidur Rahman Easin, Md. Nure Alam Siddiki, Md. Shamsul Arefin:
Modeling, Simulation, and Analytical Comparison of PID, ANN, and ANFIS Controllers in Two-Area AGC Systems using MATLAB Simulink. 155-160 - Sajjad Ahmed Ghauri, Mubashar Sarfraz, Gunjan Chhabra, Keshav Kaushik, Asim Zafar, Inam Ullah Khan:
Deep Learning Scheme for Modulation Classification under Fading Channels. 161-166 - Navjot Kaur, Kalpana Sharma, Anuj Jain:
Hybrid Edge Detection Method for Autonomous Vehicle Navigation. 167-172 - Navjot Kaur, Kalpana Sharma, Anuj Jain:
Video Defogging with a Sample-Based Defogging Approach. 173-176 - Prabhat Singh, Shilpi Sharma:
A Real-Time Road Anamoly Detection Using Smart Phone Sensors. 177-181 - Vijay Bhutani, Preeti Singh Bahadur, Sunil Kumar Sansaniwal:
TIR-based Light Pipe Technology for Sustainable Energy Efficiency and Natural Lighting Management. 182-186 - Abhijeet Gupta, Sanjay Kumar Dubey:
Analysis on Application of Image Processing in Monitoring of Crop Growth. 187-194 - Sukrati Sharma, Sunaina, Basu Dev Shivahare, Kirti Singh, Prabhishek Singh, Vimal Bibhu:
Exploring Machine Learning to Predict Brain Tumour Disease. 195-199 - M. Gurupriya, Rahul, B. Karthikeyan:
Dynamic Surface-enabled Air Quality Evaluation. 200-206 - Sakshi Takkar, Amanpal Singh Rayat, Vikrant Sharma, Tiyas Sarkar, Kapil Jairath, Amanpreet Singh:
Problems and Optimal Methodologies Agile Project Management Solution in Publicly accessible Sector: A Comprehensive Evaluation of the Literature. 207-213 - Harjeet Kaur, Tiyas Sarkar, Baljinder Kaur, Amanpreet Singh, Gagandeep Singh Cheema, Sumitra Das:
Using Machine Learning Techniques in Business Analytics: Lessons from Agile Project Management. 214-220 - Tiyas Sarkar, Manik Rakhra, Vikrant Sharma, Amanpreet Singh, Kapil Jairath, Aryan Maan:
Comparing Traditional vs Agile Methods for Software Development Projects: A Case Study. 221-227 - Sandeep Singh, Tiyas Sarkar, Monika Mangla, Manik Rakhra, Amanpreet Singh, Kapil Jairath:
FinTech Edge: Utility Computing & Artificial Intelligence Technologies for Smart Financial Acquisition & Blockchain in the Financial Industries. 228-234 - Vaibhavi Patel, Hetal Bhavsar:
Review on Data Balancing Approaches for Skewed Data Classification. 235-241 - Amandeep Kaur, Manjot Kaur:
Construction Of Phylogenetic Tree Using UPGMA Method. 242-246 - Abdullah Al Noman, Hasib Fardin, Gunjan Chhabra, Shayma Sultana, Rezaul Haque, Md. Redwan Ahmed, Swarna Hasibunnahar, Keshav Kaushik:
Monkeypox Lesion Classification: A Transfer Learning Approach for Early Diagnosis and Intervention. 247-254 - Rezaul Haque, Shayma Sultana, Chandan Prasad, Sayed Hasan, Hasib Fardin, Abdullah Al Sakib, Neeru Malik, Keshav Kaushik:
A Scalable Solution for Pneumonia Diagnosis: Transfer Learning for Chest X-ray Analysis. 255-262 - Puneet Kaur, Kiranbir Kaur, Deepak Kumar Verma, Kuldeep Singh, Keshav Kaushik, Vineeta Singh:
Routing Protocols in Wireless Sensor Networks: A Comprehensive Review and Future Perspectives. 263-270 - Taneja Sanjay Devkishan, Sanjay Kumar Singh, Ajay Kumar Bharti:
Ensemble Learning for Student Performance Assessment: Identifying and Analyzing Significant Affecting Factors in Higher Education. 271-277 - Prerna Agarwal, Pranav Shrivastava, Bharat Gupta, Radhika Aggarwal, Kunwar Shaan, Nishant Singh:
Advanced Blockchain Techniques for Secure data Sharing through Ownership Authentication in Cloud Environment. 278-285 - K. H. Akhil, Nisha Mishra, M. Nithya:
Predictive Weather Modelling Using Unmanned Aerial Systems and Machine Learning. 286-291 - Raju Kolluri, Shashi Kant Dargar, S. Sathish Kumar, Arun Singh Chouhan, Amit Gupta:
Robust Xception-Based Skin Disease Classification System with Blockchain Integration. 292-297 - S. Thangam, M. Gurupriya, Yashaswini Manyam, Srinidhi Sundaram:
Speech Enhancement using IOT for the Mute Community. 298-304 - Arief Wicaksono, Farrel Izza Barunastra, Michael Chandra Jaya Giovani Suhari, Fredy Jingga:
Students Level of Trust in the Use of AI Chatbots in Higher Education: A Quantitative Analysis Adopting Technology Acceptance Model. 305-310 - Diwakar Chaudhary, S. K. Verma, Sumit Pundir, S. Ranganathan, V. Umadevi, K. Srinivasan:
IoT Revolutionization using Federated Learning and Decentralized AI on Edge Devices. 311-316 - S. Parveen Banu, Yamini Madhav Patil, R. Somasundaram, C. Santhosh, Devesh Pratap Singh, G. Manikandan:
Edge Computing-Based Short-Term Traffic Flow Forecast for the Smart City Employing 5G Internet Vehicles. 317-323 - Mithlesh Arya, Praveen Kumar Yadav, Abha Jain, Megha Gupta, Saroj Agarwal, Arvind Singh Rajpoot:
Neural Network to detect Cervical Cancer early using Pap smears Images. 324-329 - Megha Mudholkar, Pankaj Mudholkar:
Smart IoT-Enabled Tap Water Leakage Monitoring System with Mobile Integration for Sustainable Water Management. 330-337 - Charu, Kavita Gupta:
Systematic Review of Contemporary Breast Cancer Detection Techniques Using Machine Learning. 338-344 - Sanjeev Kumar, Kanika Jindal, Pavan Kumar Shukla:
Low Power Optimization of Hybrid Logic Full Adder Design using FinFET 32nm Technology. 345-349 - S. Vaishali, T. Mohan, S. Navaneethan:
AI-Powered Prediction Models for Cardiovascular Disease Risk Assessment. 350-355 - M. Arangarajan, Amar Pal Yadav, Ch Veena, C. Sasthi Kumar, Gaurang A Patel, Dillip Narayan Sahu:
AI-Based Bolt Loosening Diagnosis with Deep Learning from Laser Ultrasonic Wave Data. 356-361 - Joel Alanya-Beltran, Johan Silva-Cueva, Luis Velarde-Vela, Frans Cardenas-Palomino, Frank Alvarez-Huertas, Claudia Poma-Garcia:
Sixth Generation (6G) Wireless Networks: Vision, Research, Challenges, and Solution. 362-367 - Keerthipati Kumar, V. Divya Vani, Vijilius Helena Raj, Amit Dutt, Pankaj Kunekar, Dilip Narayan Sahu:
Cutting-Edge Communication: Integrated Satellite-Aerial 6G Networks for Point-to-Point Connectivity. 368-373 - Vivek Veeraiah, J. Samuel Prabaharan, Nikita H. Modi, Madhuri Suryavanshi, L. Geetha, Ashwini Satyanarayana:
Smart City Insights: Impact of Artificial Intelligence and Machine Learning. 374-378 - A. Gopalakrushna, Vijilius Helena Raj, V. Divya Vani, Navdeep Singh, Patel Yogeshkumar Jethabhai, M. Kalyan Chakravarthi:
Real-Time Scheduling for Energy Optimization: Smart Grid Integration with Renewable Energy. 379-384 - Veeranna Kotagi, Vinay Kumar Nassa, Dipti Patil, Rajashree Gadhave, Sri Bhargav Krishna Adusumilli, Pitcheri Praveen Kumar:
Ensuring Dataset Accountability in Machine Learning: Insights from Software Engineering. 385-389 - Madhu Kumar Vanteru, Kavitha Dasari, V. Asha, Navdeep Singh, Dalael Saad Abdul-Zahra, R. Ramprakash:
MEET: Advancing Mobility-Enhanced Edge Intelligence for Efficient and Sustainable 6G Networks. 390-394 - Jyoti Agarwal, Anu Saxena, Kavitha Dasari, Amit Dutt, Shilpi Singhal, Dilip Narayan Sahu:
Harnessing Biomedical Signals: A Modern Fusion of Hadoop Infrastructure, AI, and Fuzzy Logic in Healthcare. 395-399 - B. T. Geetha, Pyla Lova, I. E. S. Naidu, M. K. Sharma, Priti Shivaji Dhaygude, Navnath Sopan Govekar:
HEMS-IoT: Smart Home Energy Saving with Big Data and Machine Learnings. 400-404 - B. T. Geetha, J. Salomi Backia Jothi, Shaunak Pal, Imam Taqi Deen Islam, K. S. Raghuram, Mukesh Soni:
IoT and AI Synergy in Society: Robotics and Automation Perspectives. 410-414 - B. T. Geetha, Dipen Bhuva, Abhishek Bhuva, Maulik Devendrabhai Trivedi, Manoj Sathe, Ritesh Kumar Singhal:
Fortifying IoT: A Cybersecurity Model for Secure Implementation. 415-420 - Geetha Manoharan, Prithu Sarkar, Chirag Aggarwal, Kawerinder Singh Sidhu, Neeru Sidana, M. Kalyan Chakravarthi:
Applications of Machine Learning and IoT in Business Management, e-commerce and Finance. 421-425 - Geetha Manoharan, Prithu Sarkar, Punit Pathak, Khadri Syed Faizz Ahmad, Arun Singh, Vaishnavi M:
A Machine Learning Approaches for Natural Language Processing and Sentiment Analysis in Social Media. 426-430 - Bediga Sharan, Umar Mubarak Mulani, R. Naveenkumar, Sujit Kumar Badodia, Hemant Makawana, Joshuva Arockia Dhanraj:
Natural Language Processing for Generating Synthetic News Detection. 431-435 - Geetha Manoharan, Lalit Mohan Pant, Ruchi Tewari, Swapnil Vichare, Prithu Sarkar, Joshuva Arockia Dhanraj:
AI-Powered Chatbots for Mental Health Support. 436-440 - G. Swamy Reddy, Haider Ali Rizvi, Harmeet Kaur Kochhar, Ajim Shaikh, R. Udhayakumar, Joshuva Arockia Dhanraj:
Exploring the Role of Natural Language Processing in Educational Chatbots: A Machine Learning Approach. 441-445 - Rajeshwarrao Arabelli, Ashish Sharma, Sonia Duggal, Shaik Salma Begum, Fazla Rabby, Joshuva Arockia Dhanraj:
Real-time Multimedia Analytics for IoT Applications: Leveraging Machine Learning for Insights. 446-451 - Rajeshwarrao Arabelli, Eswararao Boddepalli, Roobal Yadav, Budesh Kanwer, Yudi Krisno Wicaksono, Joshuva Arockia Dhanraj:
Intrusion Detection and Prevention Systems for Wireless IoT Networks: Machine Learning Approaches. 452-456 - D. Srinivas, Twinkle, Pravin D. Sawant, Fazla Rabby, M. S. Vasu, A. Roniboss:
Supply Chain Optimization: Machine Learning Applications in Inventory Management for E-commerce. 457-461 - K. Rajchandar, M. Ramesh, Anuj Tyagi, S. Prabhu, Doddavarapu Sreenu Babu, A. Roniboss:
Edge Computing in Network-based Systems: Enhancing Latency-Sensitive Applications. 462-467 - S. Deepan, Jaideep Gera, Anupam Pareek, Sheela Chinchmalatpure, Gouri Sankar Nayak, Jagadeesh Bodapati:
Deep Learning Approaches for Signal and Image Processing: State-of-the-Art and Future Directions. 468-472 - Geetha Manoharan, Abhishek Vaishnava, Amar Prakash Dabral, Bipin Chandra Pant Dean, Rakesh Dani, Sivakumar Sattanathan:
Risk Management in Hospitality: Machine Learningbased Approaches for Crisis Prediction and Response. 473-478 - Sweety Nagar, Manas Kumar Mishra, Praveen Kumar Rai:
Using Densenet169 for Image-Based Classification of Solar Panel Defects. 479-484 - Naman Nayak, Deepak Kumar, Abhiraj Malhotra:
Crop Health Monitoring: YOLACT Deep Learning Model and Histogram Equalization for Enhanced Leaf Blight Detection. 485-490 - Rashmi Gupta, Jeetendra Kumar, Suvarna Sharma:
Emotion State Detection via Speech using Deep Learning. 491-497 - Ishu Rani, Dibyahash Bordoloi, Abhishek Tiwari, Pradeepta Kumar Sarangi, Srikanta Kumar Mohapatra, Nidhi Goel:
Feature Extraction and Machine Learning Models for Heart Disease Prediction: An Exploratory Analysis. 498-502 - Kamaljeet Kaur, Mamta Gupta, Dibyahash Bordoloi, Pradeepta Kumar Sarangi, Srikanta Kumar Mohapatra, Alok Kumar Agrawal:
Machine Learning Applications in Short-term Financial Forecasting: A Comparative Analysis with Hybrid Model. 503-507 - Neetu, Gunjan, Amandeep Kaur:
Energy Consumption in Wireless Sensor Networks Using Fruit Fly and Ant Colony Optimization Algorithms in Homogenous and Heterogeneous Environments. 508-515 - Amit Kumar, Neha Sharma, Rahul Chauhan, Kireet Joshi, Dipra Mitra, Vijay Madaan:
Predicting Stress Levels in Sleep Patterns using Machine Learning Models and a Smart Yoga Pillow. 516-522 - Prince Shubham, Pallab Banerjee, Kanika Thakur, Biresh Kumar, Dipta Mitra, Kumar Gaurav:
Design and Implementation of Real Time Image Retrieval System for De-Noising Space Images in Chandrayaan 3 Lunar Mission Using Autoencoders. 523-528 - Chettiyar Vani Vivekanand, R. Purushothaman, Inbamalar T. M, S. Ciyamala Kushbu, M. Amala Justus Selvam:
Tiny ML-based Non-Invasive Approach of Cardiac Monitoring. 529-534 - Bihari Nandan Pandey, Mahima Shanker Pandey, Brijesh Pandey:
An Identification Technique for Diseases of Medicinal Plants. 535-540 - Pooja Singh, M. L. Azad, Vernika Mishra:
Leveraging AI for Sustainable Waste Management: Enhancing Recycling and Reducing Landfill Waste in Circular Economy Models. 541-546 - Deepak Upadhyay, Abhay Upadhyay, Kunj Bihari Sharma, Mridul Gupta, Nookala Venu:
Delta-γ Modeling of Wireless System Resilience in Multipath Fading and Interference Environments. 547-552 - Reeta Mishra, Neelu Chauduray, Gaganjot Kaur:
Harnessing Machine Learning for APTs Detection and Mitigation in Large-Scale Networks. 565-571 - Rinku Raheja, Prabhash Chandra Pathak, Syed Anas Ansar:
Major Security Risks and its Alleviating Techniques: Blockchain Web Application Perspectives. 572-577 - Ekta Saraswat, Nitu Maurya, Sonali Mishra, Rohit Sharma:
The Role of IoT in Transforming Education: Opportunities, Challenges, and Future Directions for Smart Education Systems. 578-583 - Nitu Maurya, Ekta Saraswat, Anand Kabia, Rohit Sharma:
The Role of IoT in Circular Business Models: Opportunities and Challenges for Sustainable Innovation. 584-589 - Joe Joseph, Asha Kurian:
Breaking Barriers: Transformer-Based Summarization and Translation of English Legal Documents to Malayalam. 590-593 - Vama Garg, Kirana Kumar, Rakesh Chandrashekar, S. Naveen Kumar:
A Critical Analysis of Genetic Algorithms for Optimized Solutions. 594-597 - S. Vikram Singh, Shaik Saddam Hussain, Atul Singla, A Balaram, Y. Krishna Bargavi, R. Gowtham Raj:
Evaluating the Ecological Footprint: Analyzing the Environmental Impact of Battery Energy Storage Systems within Electric Grids. 604-609 - Manjunatha, B. Naresh, Amit Dutt, Prateek Chaturvedi, A Balaram, Y. Krishna Bargavi:
Assessment and Summary of Inverter and Induction Motor Efficiency in Dual Electric Vehicle Drive Systems Across Urban and Highway Driving Conditions. 610-615 - Rakesh Chandrashekar, D. Shobha Rani, Ginni Nijhawan, A Balaram, Prateek Chaturvedi, B. Sankara Babu:
Advancing Residential Energy Management: Integrating Renewable Resources and Vehicle-to-Grid Systems for Optimized Electrical Grid Performance. 616-620 - B. Santhosh Kumar, Anusuya Devi, Smita Sharma, Munugapati Bhavana, B. Sankara Babu, Navdeep Singh:
Integrating Renewable Energy Sources into Smart Grids with an Aggregator-Based Energy Management System for Efficiency and Resilience. 621-626 - S. Vikram Singh, V. Revathi, B. Sankara Babu, Munugapati Bhavana, Navdeep Singh, G. Nagamani:
Enhancing Microgrid Stability: Optimal BESS Sizing via Modified PSO for Frequency Control and Cost Efficiency. 627-632 - Vijilius Helena Raj, M. Siva Swetha Reddy, Har Pal Thethi, G. Ramesh, Q. Mohammad, Munugapati Bhavana:
Impact Assessment and Mitigation Strategies for Plug-in Electric Vehicles on Distribution Networks: A Probabilistic Approach. 633-637 - Ta Sudarshan, Ch. Srinivasulu, Har Pal Thethi, Vijay Bhutani, P. Subhashini, G. Ramesh:
Optimizing Wind Turbine Placement for Enhanced Energy Production Using Modified Genetic Algorithm. 638-642 - K. Aravind, Har Pal Thethi, C. Praveen Kumar, G. Ramesh, P. Subhashini, Kanan Divetia:
Enhancing Smart Grid Efficiency Through Innovative Data Management And Analytics For Demand Energy Management. 643-649 - N. V. Uma Reddy, R. Anuradha, Sorabh Lakhanpal, Rawya Read, P. Subhashini, Kanan Divetia:
Integrating Machine Learning with Binary Integer Programming for Optimal PMU Placement in Dynamic Power Networks. 650-655 - V. Alekhya, R. J. Anandhi, Alok Jain, Navya Gupta, S. Vikram Singh, Rowsonara Begum:
Leveraging Deep Learning Architectures for Accurate Wind Speed and Power Prediction in Renewable Energy Systems. 656-660 - B. Anupama, M. K. Sinath, Manish Gupta, Zahraa N. Salman, Rowsonara Begum, Navya Gupta:
Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply. 661-666 - V. Asha, G. Kiran Kumar, Q. Mohammad, Lavish Kansal, Rowsonara Begum, Navya Gupta:
The New Energy Demand Equation Response Mechanisms for Consumers and Prosumers. 667-672 - G. Anitha, K. Gopal, Alok Jain, Rafal Emad, Nagarjuna Thandra, Preeti Tewari:
Revolutionizing Internet of Things with Blockchain for Enhanced Security and Data Management. 673-679 - M. Hari Krishna, Hemanth Raju, Alok Jain, Taqi Mohammed Khattab Al-Rubaye, Nagarjuna Thandra, Preeti Tewari:
Synergizing Blockchain with Big Data for Improved Data Integrity and Transparency. 680-685 - Jaysheel Kumar, Gopu Srilekha, Manish Gupta, Zahraa N. Salman, Nagarjuna Thandra, Preeti Tewari:
Blockchain and Machine Learning for Real-Time Data Validation in Peer-to-Peer Energy Trading. 686-691 - K. Mayuri, B. S. Smitha, Ginni Nijhawan, Bolleddu Devananda Rao, Shubhi Gupta, Ali Albawi:
Blockchain and Machine Learning for Advanced Pattern Recognition in Biometric Security Systems. 692-697 - Manjunatha, S. Aswini, Sorabh Lakhanpal, Bolleddu Devananda Rao, Abhinav Srivastava, K. Smitha:
Pioneering AI in UAV-Assisted 6G Networks for the Advancement of Mobile Robotics in Industry 5.0. 698-707 - Priyanka Gupta, Revathi V, Ali Abduhussien Hameed, Manish Gupta, Suman Avdhesh Yadav, Bolleddu Devananda Rao:
Ultra-Low Power Designs and Strategies for Next-Generation Sensor Networks. 708-714 - B. Varasree, N. V. Uma Reddy, Suman Avdhesh Yadav, Ginni Nijhawan, Monica Garg, N. Sirisha:
Innovative Advances: Crafting an Intelligent Controller for Home Energy Management Systems with Seamless Integration of Renewable Sources. 722-726 - Arpit Rawat, Amit Gupta, Richa Gupta:
Chord Protocol: Distributed Hash Table for Peer-to-Peer Networking. 727-733 - Vijit Chaturvedi, Jaya Yadav, Amit Pandey:
Lean Six Sigma in Healthcare: A review of essentials in implementation and outcomes for Health Sustainability. 734-741 - Devaansh Banga, Aditya Kumar, Sourabh Jain:
Evaluating Machine Learning Techniques for Stock Loss Forecasting: Hypothesis Testing and Model Selection. 742-747 - Aditya Kumar, Sourabh Jain, Rashmi Deopa:
IOT-Based Machine Learning for Crop Pattern Analysis. 748-753 - Dheerendra Panwar, Siddharth Shankar Mishra, Anoop Kumar, Arpita Soni:
A Review of Machine Learning in Photovoltaic System Fabrication and Implementation. 754-759 - Ananya Mitra, Smrutirekha Mohanty:
AI Enabled Smart Teaching Assistants. 760-763 - Jashritha Reddy Mallavarapu, V. K. Navanithi, Mohit Manomay Bejjanki, M. Mithun Menon, G. Jeyakumar:
Advancing Personalized Medicine - An Innovative Feature Engineering for Tailored Drug Design. 764-770 - Mohit Chandra Saxena, Abhishek Tamrakar, Ulises Arranz:
Automated Testing and Deployment Strategies for Quantum Algorithms. 771-779 - Garima Bhardwaj, Baljit Kaurt, Vikas Garg:
Navigating and Transforming the Privacy and Security Challenges of EHRM Through BP Neural Network (BPNN). 785-789 - Mohd Danish, Mohammad Amjad, Tanvir Ahmad:
Comparative Sentiment Analysis of Cryptocurrency Apps Using BERT. 790-794 - Sandeep Mathur, Yazdani Hasan, Deepshikha Bhargava, Subhangee Bhattacharjee, Ajay Rana:
Artificial Intelligence Based Predictive Analytics for Website Performance Optimization. 795-800 - Anshul Kumar, Sandeep Mathur, Adarsh Malviya:
Dynamic Load Balancing for Enhanced Resource Utilization in IaaS Cloud Computing. 801-807 - Rajeev Semwal, Nandita Tripathi, Ajay Rana, Mahesh Kumar Bairwa, Vipula Mathur, Rajni Kumari:
AI-Driven Tourism Analytics: Understanding Traveler Behavior and Preferences through IoT Sensors. 808-814 - Rajeev Semwal, Nandita Tripathi, Ajay Rana, Udit Kumar Pandey, Shilpa Parihar, Mahesh Kumar Bairwa:
AI-Driven Insights: Enhancing Personality Type Prediction with Advanced Machine Learning Algorithms. 815-822 - Rahul Namdeo Jadhav, G. Sudhagar:
Brain Tumor Segmentation Using the Hybrid CNN & LSTM Model. 833-839 - Anusmita Guchhait, Satwik Chauhan, Pravinkumar Gohil, Gurwinder Singh:
Enhancing Medical Image Clarity: Introducing L2R-SRGAN for Improved Super-Resolution. 840-844 - Vivek Behl, Vimal Bibhu:
Review of Deep Learning approaches for Conversational Artificial Intelligence. 845-851 - Naman Chauhan, Riya Tomar, Pranshul Atri, Chhavi Chauhan, Abhijith Prakash, Aditya Vikram:
Advancing Brain State Classification through Electroencephalogram (EEG) Analysis: Exploring Diverse Models for Improved Classification. 852-857 - Shalini Jaiswal, Pooja Singh, Shalini Srivastava, Renu Chaudhary, Atul Kumar:
Noval Technology of Nano-Robot for Promising Drug Delivery System. 858-863 - Pooja Singh, Shalini Jaiswal, Shalini Srivastava, M. L. Azad, Vernika Mishra, Anshika Nautiyal:
Fashion Forward: Exploring the Influence of AI on Modern Fashion Trends. 864-869 - Deependra Rastogi, Anand Singh, Sumit Singh Dhanda, Shantanu Bindewari, Suman Avdhesh Yadav:
Brain Tumour Prediction Using MRI Images with MobileNet and Transfer Learning: A Deep Learning Approach. 870-876 - Yashasvi, Kirana Kumar, Vijilius Helena Raj, A Sangeetha:
Image Analysis in Dermatology: A Comprehensive Survey of Disease Classification Methods. 877-881 - Arhaan Gupta, Kirana Kumar, V. Asha, S. Naveen Kumar:
Machine Learning in Economic Forecasting: A Comprehensive Review. 882-886 - Mohamed El Jbari, Mohamed Moussaoui, Subhadra Rajpoot:
Advanced Ray-Tracing Saleh-Valenzuela Channel Modelling and Characterization for Indoor Terahertz Communication Systems. 887-892 - Wajid Ali, Shalini Z. Ninoria:
An Efficient Algorithm for Black Hole Attacks Detection in VANET. 893-898 - Kritika Singh, Sumita Gupta, Saru Dhir, Sapna Gambhir:
Enhancing Literary Exploration: A Machine Learning Approach to Book Recommendations. 906-910 - Sunayna, Anita Ganpati:
A Review of Optimization-based Cluster Head Selection Methods in Wireless Sensor Networks. 911-917 - Rohitash Upadhyay, Megha Kamble:
Artificial Intelligence in Precision Agriculture: A Comprehensive Review. 918-923 - Karan Tejpal, Simar Preet Singh:
Enhancing Personalized Medicine Using Data Analytics and Artificial Intelligence. 924-930 - A S. Anshad, Sourabh Tiwari, G. D. Vignesh, Piyush Charan, K. Ramesh Chandra, Rachit Manchanda:
An Energy Efficient Improved Clustering based Data Compression Protocol in Wireless Sensor Network. 931-936 - Vivek Behl, Vimal Bibhu:
Leveraging Transformer Networks for Enhanced Conversational AI. 937-943 - Radhika Saini, Nishtha Jain, Manoj Diwakar, Amit Kumar Mishra, Prabhishek Singh, Neeraj Kumar Pandey:
Image Matting Using Objective Decomposition and Cascading Residual Network. 944-950 - Charu, Sandeep Mathur, Alok Singh Sengar:
Evaluating Current Cloud Security Challenges and IAAS Optimization. 951-956 - Lalita Kumari, Kishore Bhattacharjee, Nikhil Sharma, Shusil Kumar, Anamikal Kumari:
Machine Learning Models in Customer Behaviour Prediction: A Comparative Analysis. 957-959 - Chandra Mani, Bhasker Sharma, Charu Singh, Kamal Sharma, Sandeep Kumar Singh:
Integration of IoT Based Sensor System for Smart Agriculture Monitoring and Optimization. 960-966 - G. Ramkumar, S. Subalya, E. J. Priyadharsini, B. Bhavan, Shaik Abubakar Siddique, P. Chandrasekar:
Solar Powered EV Charging Electric Farm Vehicles for Sustainable Agriculture Areas. 967-973 - Zahid Ahmed, Abha Pandey, Ashish Sharma, Anisha Tandon, Teena, Sujeet Kumar:
Optimizing Real-Time Medical Diagnostics with Adaptive AI Algorithm. 974-979 - Vikas Suhag, Sanjay Kumar Dubey, Bhupendra Kumar Sharma:
A Multi-model Software Defect Recommendation System. 980-984 - Ritika Tiwari, Garima Bhardwaj, Pooja Tiwari:
Analyzing HR Management and its Impact using Machine learning Algorithms. 985-991 - Rajanish Kumar Kaushal, Sourabh Tiwari, Laxmi, Piyush Charan, K. Ramesh Chandra, Rachit Manchanda:
An Energy Efficient Artificial Neural Network based Clustering Protocol for Wireless Sensor Network. 992-997 - Nidhi Bhatia, Jitendra Singh, Vandana:
Applying Keyword Extraction Techniques on Customer's Feedback of a Software Product to Accelerate Agile Based Development. 998-1001 - Yamini Madhav Patil, Gunita Arun Chandhok, B. R. Supreeth, Sumit Pundir, Subramanyam Kunisetti, S. Gayathri:
Improving Visual Recognition with Enhanced Convolutional Neural Networks. 1002-1007 - Sujay Gejji, B. R. Supreeth, Pathan Firoze Khan, Venkat S, K. Pradeepa, S. Kaliappan:
Deep Learning Approaches for Solving Challenges in Computer Vision Applications and Exploring Evolving Patterns. 1008-1013 - Ishu Chaudhary, Bhanu Prakash Lohani:
A Study on Recent Advancements and Innovations in Convolutional Neural Network. 1014-1019 - S. Leena Maria, K. Renuka Devi, P. Somashekar, C. N. Harshavardhana, P. Siva Kota Reddy, S. Vijay:
Enhancing Student Feedback and Assessment with Graph Attention Networks in Higher Education. 1020-1025 - Shailesh Khant, Mayur Makwana, Atul Patel:
Evaluating 10Gbps Wireless Optical Communication Using NRZ Modulation: Analyzing BER, Signal Quality, and System Performance. 1026-1031 - P. Kumar, A Vijayaraj, S. Senthil Pandi, Venkatesh Prabhu Balakrishnan:
AI Based Prescient Upkeep for Plane Frameworks. 1032-1036 - Rashmi Makkar, Neeraj Mangla:
Load Balancing and Task Scheduling Methods in Cloud Computing - A Review. 1037-1043 - Gurpreet Kour, Navjot Rathour:
Landslide Detection and Mapping using Remote Sensing U-Net Model In Leh-Ladakh Region. 1044-1049 - Om Goel, Rudramani Bhutia, Swethasri Kavuri, Vishwasrao Salunkhe, Krishna Gangu, Shashwat Agrawal:
A Categorization and Evaluation on Industry Specific Machine Learning Models and Their Acceptability. 1050-1055 - Shashwat Agrawal, Gopal Kumar Gupta, Pandi Kirupa Gopalakrishna, Vanitha Sivasankaran Balasubramaniam, Lagan Goel, Siddhey Mahadik:
Hybrid Machine Learning Models: Combining Strengths of Supervised and Unsupervised Learning Approaches. 1056-1061 - Murali Mohana Krishna Dandu, Jaishree Jain, Santhosh Vijayabaskar, Punit Goel, Ashwini Shivarudra, Sachin Bhatt:
Assessing the Impact of Data Imbalance on the Predictive Performance of Machine Learning Models. 1062-1068 - Balachandar Paulraj, Bharti Kalra, Jaswanth Alahari, Krishna Gangu, Vikas Kumar, Pramod Kumar Voola:
A Framework for Optimizing Energy Allocation and Sustainability in Cloud-Edge AI Systems. 1069-1074 - Vishwasrao Salunkhe, Gopal Kumar Gupta, Shashwat Agrawal, Pramod Kumar Voola, Jaswanth Alahari, Balachandar Paulraj:
Big Data in Healthcare: Leveraging Analytics to Revolutionize Patient Care and Health Management. 1075-1082 - Akanksha Srivastav, Sheenu Agarwal, Arpit Jain, Shikha Tayal, Shalu Jain, Khemraj Sharma:
Enhancing Blockchain Scalability: Innovative Solutions for Optimized Performance in Decentralized Networks. 1088-1094 - Vandna Bansla, Inderjeet Kaur, Rudramani Bhutia, Girish Singh Bisht, Khemraj Sharma:
Optimizing Task Execution in Robotic Swarms: Coordination Strategies for Enhanced Efficiency. 1095-1100 - Girish Singh Bisht, Arpit Jain, Vandna Bansla, Khemraj Sharma, Rudramani Bhutia, Vikas Kumar:
Enhanced Keypoint-Based Approach for Identifying Copy-Move Forgery in Digital Images. 1101-1106 - Krishna Gangu, Shikha Tayal, Richa Mishra, Pramod Kumar Voola, Swethasri Kavuri, Ankur Mehra:
An Analysis on Performance Scale and Model Validation in Machine Learning. 1107-1113 - Ashwini Shivarudra, Gopal Kumar Gupta, Santhosh Vijayabaskar, Murali Mohana Krishna Dandu, Sheenu Agarwal, Sachin Bhatt:
Developing a Secure, Trust-Based, and Energy-Efficient Hybrid Protocol for Mobile Ad Hoc Networks (MANETs). 1114-1118 - Sandeep Kumar, Khemraj Sharma, P. M. Ashok Kumar, Arpit Jain, Sukesh Kumar Bhagat, Pranita Singh:
An Improved Particle Swarm Approach for Energy-Aware Location-Aided Routing in Mobile Ad-Hoc Network. 1119-1124 - Gopal Kumar Gupta, Arpit Jain, Khemraj Sharma, P. M. Ashok Kumar, Shubhi Gupta, Sheenu Agarwal:
A Novel Hybrid Framework for Energy-Efficient Clustering and Routing in Heterogeneous IoT-Driven Wireless Sensor Networks. 1125-1129 - Dharmesh Kumar Thakur, Deepak Mishra:
Exploratory Data Analysis for Detecting of Iron Deficiency Using Machine Learning Techniques. 1130-1135 - Swathi Gowroju, Sandeep Kumar, Shilpa Choudhary:
Natural Language Processing-Driven Voice Recognition System for Enhancing Desktop Assistant Interactions. 1136-1141 - Likith Sai Reddy Syamala, V. N. K. D. Sai Chandana Kavuluri, Sai Sneha Dasa, D. S. Lakshman, Munish Kumar, Sandeep Kumar:
A Comparative and Exploration Analysis of Cryptographic Algorithms for Securing Digital Device. 1142-1148 - Tushar Choudhary, Kunal Choudhary:
Hybrid Optimization Algorithm for Gender Prediction from Anthropometric Attributes Using Machine Learning. 1149-1155 - Pragya, Bijendra Kumar:
A Novel IPv6 Address Generation Method for IoT Network. 1156-1161 - Swethasri Kavuri, Akanksha Srivastav, Balachandar Paulraj, Vishwasrao Salunkhe, Jaswanth Alahari, Om Goel:
Sparse Heterogeneous Data and Solution Strategies Using Advanced Machine Learning Techniques. 1161-1168 - Vanitha Sivasankaran Balasubramaniam, P. M. Ashok Kumar, Pandi Kirupa Gopalakrishna, Shashwat Agrawal, Om Goel, Siddhey Mahadik:
Enhanced Node Localization in IoT Sensor Networks via Deep Learning and Virtual Node Modeling. 1169-1174 - Neha Bhatia, Suman Kumari, Sandeep Kumar:
A Methodological Approach Integrating Deep Learning Techniques to Detect and Classify Anthracnose Disease for Sustaining Mango Leaf Health. 1175-1179 - Pinkal Jain, Ajay Lala:
Enhancing Smart Home Security Systems through the Integration of IoT Devices: A Comprehensive Approach. 1180-1185 - M. Sri Uma Suseela, V. Praveena, N. D. N. Lakshmi, M. Hemalatha, Vusse Sandeep Kumar:
Advanced Cross-Layer Protocol Architecture through Modified Ideal Link State Routing (MOLSR). 1186-1190 - Anurag Aeron, Pawan Kumar Goel, Sakil Ahmad Ansari, Vyom Sharma, Komal:
Design and Implementation of A Real-Time Health Monitoring System Using IoT Sensors and Machine Learning Algorithms. 1190-1195 - Shweta Bhardwaj, Seema Rawat, Hima Bindu Maringanti:
A Comprehensive ML Framework for Intrusion Detection. 1196-1200 - M. Sri Uma Suseela, Vusse Sandeep Kumar, Ramadasu Ramakrishna, Pilla Veerendra Prasad, Veerubhotla Satyanarayana Murthy, Pasupuleti Sai Krishna Chakradhar:
Optimization of Spectrum Sensing in Cognitive Radio Using Energy Detection and Matched Filter. 1201-1205 - Ananya Kapoor, Ayush Kumar, Dheerendra Pratap Singh, Ayush Kumar Karn, Kamal Kumar Gola, Priyanka Suyal:
Advancements in Animal Behaviour Monitoring and Livestock Management: A Review. 1206-1212 - Mohammed Wasid, Shahnawaz Ahmad, Shahadat Hussain, Mohd Saqib Ansari:
Deep Learning based Object Detection Methods: Current Status and Future Prospects. 1213-1219 - Shahadat Hussain, Shahnawaz Ahmad, Mohammed Wasid, Sneh, Saanvi Chawla, Aakash Sangwan:
Intelligent Learning Models for Cancer Diagnosis and Treatment: A Comprehensive Analysis. 1220-1224 - A Senthil Kumar, Selvaraj Kesavan, T. Poongodi, Sebastian Nixon, S. Nagaraj:
A Practical Approach for License Plate Recognition for Non-Helmeted Motorcycle Riders. 1225-1228 - Pratishtha Verma:
Biometric Identification using Periocular Images with ViT-DeepSort and YOLOv7-GAN. 1229-1234 - Vivek Kumar Sharma, Renuka Arora, Chandra Shekhar Yadav, Deepti Mehrotra:
Towards Fortifying Digital Image Security: "Blockchain Integration with CryptoMark Approaches". 1235-1240 - M. Manjula, L. Monish, L. V. Vedashree, Shivamma D:
Novel Approach for Brain Tumor Classification with CNN and MobileNet. 1241-1244 - D. Nikitha, S. Imran Hussain, M. Poornima:
Integrating Power BI with Machine Learning Models for Predictive Analytics. 1245-1250 - S. Kishore, S. Imran Hussain, T. Sibirajeshwaran:
Autonomous Aerial Vehicles Revolutionizing the Future of Unmanned Flight. 1251-1256 - K. Aravinda, Tejaswini Rangaraju, Atul Singla, N. Sirisha, Monica Garg, Zahraa N. Salman:
Advanced Computational Frameworks for High-Resolution Biospeckle Image Analysis: Integrating Machine Learning and Optical Coherence Techniques for Enhanced Biological Tissue Characterization. 1257-1262 - V. Asha, Yagateela Pandu Rangaiah, Ginni Nijhawan, Susmita Kalyani, K. Pushpa Rani, Ali Albawi:
Advancing Image Segmentation, Analysis, and Feature Extraction Techniques. 1263-1269 - N. Lakshmi Deepthi, Gopal Kaliyaperumal, Ginni Nijhawan, T. Mounika, Saurabh Sharma, Ali Albawi:
Advancing Mobile Health Technologies in Chronic Disease Management and Patient Empowerment. 1270-1276 - V. S. Anusuya Devi, N. Sreevani, Amandeep Nagpal, Susmita Kalyani, K. Pushpa Rani, Ali Albawi:
AI-driven Gene Expression Analysis on HPC Platforms: Challenges and Solutions. 1277-1282 - Veeresh G, N. Sreevani, Sorabh Lakhanpal, Saurabh Sharma, B. Ravali Reddy, Taqi Mohammed Khattab Al-Rubaye:
Bridging the Gap with Sensor Networks and Cloud Computing in the Geospatial Web for Optimized Data Services. 1283-1288 - M. K. Sinath, Anitha Gatla, Sorabh Lakhanpal, Saurabh Sharma, B. Ravali Reddy, Taqi Mohammed Khattab Al-Rubaye:
A review of Communication and Data Networks Algorithms Shaping Modem Connectivity. 1289-1294 - B. S. Smitha, Alok Jain, D. Sreenivasulu, Saurabh Sharma, B. Ravali Reddy, Taqi Mohammed Khattab Al-Rubaye:
Computer Vision and Its Algorithmic Evolution in Image Understanding. 1295-1300 - Jayasheel Kumar, Pendyala Shamili Srimani, Manish Gupta, Monica Garg, K. Varada Rajkumar, Ali Abduhussien Hameed:
Adaptive Intelligence-Driven Cybersecurity Framework Integrating Anomaly Detection and Threat Intelligence for Dynamic Multi-Layered Defense Against Evolving Cyber Threats. 1301-1306 - Sujin Jose Arul, Sajja Suneel, Manish Gupta, K. Varada Rajkumar, Monica Garg, Ali Abduhussien Hameed:
Digital Imaging Analyzing and Reproducing Color, Texture, and Material Appearance. 1307-1312 - V. Asha, S. Sreekanth, Ginni Nijhawan, K. Varada Rajkumar, Monica Garg, Ali Abduhussien Hameed:
Elevating Digital Experiences by Enhancing Service Delivery through Revolutionary Cloud Services and Applications. 1313-1318 - Rakesh Chandrashekar, Kirana Kumar, Sorabh Lakhanpal, K. Smitha, R. Akhilesh Reddy, Ali Albawi:
Enhancing Image Quality with Smoothing, Filtering, Fusion, and Compression Techniques. 1319-1323 - Sunil Prashanth Kumar, P. Aswini, Har Pal Thethi, K. Smitha, R. Akhilesh Reddy, Ali Albawi:
Intelligent Gates Exploring the Massiveness of Random Access Points in NGMA. 1324-1330 - Akabarsaheb Babulal Nadaf, Lambodar Saha, Sphurti Birajdar, Amol Gajdhane, S. Muthurajan, K. Somasundaram:
Isolation Forest-Based Employee Performance Analysis for Identifying Burnout and Engagement Issues. 1331-1337 - R. Gowtham Raj, S. Sreekanth, Ginni Nijhawan, Shubhi Gupta, Saurabh Sharma, T. Mounika:
Next-Generation Computational Models for Enhanced Interpretation of Biospeckle Images Leveraging Deep Learning and Fourier Transform Techniques in Biomedical Applications. 1338-1344 - Nihir Varshney, Sofia Singh:
Enhancing Diabetes Prediction: A comparative analysis of Train-Test Split and Stratified 10-Fold Cross-Validation with SMOTE Integration. 1345-1351 - Shiva Prakash, Yagateela Pandu Rangaiah, Amandeep Nagpal, Garima Bhardwaj, T. Mounika, Saurabh Sharma:
Innovative Strategies for Ensuring Data Protection and Maintaining Integrity in Digital Systems. 1352-1358 - Ta Sudarshan, Yagateela Pandu Rangaiah, Amandeep Nagpal, K. Smitha, R. Akhilesh Reddy, Ali Albawi:
Investigating Physical-Layer and Cross-Layer Security Technologies in Modern Networks. 1359-1364 - Krishna Uprit, Divya Gautam, Nidhi Asthana:
Advancing AI-Based Security Mechanisms for 5G Networks: Overcoming Privacy Concerns. 1365-1370 - Lipsa Das, Pooja Anand, Swati Vashisht, Neelanjan Mukherji, Bhanu Prakash Lohani, Akanksha Singh:
Advanced Techniques in Training and Applying Large Language Models. 1371-1376 - Lipsa Das, Akanksha Singh, Durgesh Kumar Jha, Vaibhav Kumar, Pradeep Kumar Kushwaha:
MRI-Based Brain Tumour Detection Utilizing Machine Learning and Deep Learning Techniques. 1378-1384 - Awakash Mishra, Lipsa Das, Durgesh Kumar Jha, Gurleen Kaur, Akanksha Singh, Deepshikha Bhargava:
Heart Disease Detection System using Machine Learning. 1385-1391 - Varsha Muralidharan, Bharathi Ravi, Sunita Pachar, Neelu Jain, Nilanjan Chakraborty, D. Sahaya Lenin:
Ethical Considerations in Applying Machine Learning to HR Practices: Balancing Efficiency with Fairness. 1392-1398 - Angulakshmi Maruthamuthu, N. Madhumithaa, Srinivasa Rao Dokku, Sunita Pachar, K. Sneha, D. Sahaya Lenin:
Predictive HR Analytics: Using Machine Learning to Forecast Workforce Trends and Needs. 1399-1405 - Jahagirdar Imran Abdulkadar, Chinnem Rama Mohan, P. Vijaya Bharati, Shamik Palit, Gunda Srinivasa Rao, Pankaj Mudholkar:
Neural Networks and Deep Learning: Innovations and Applications in Soft Computing. 1406-1410 - Bijendra Kumar, M. Sri Nikila, S. B. Javheri, Deo Karan Ram, Bijaya Bijeta Nayak, Dharamvir:
Applications of Soft Computing in Environmental and Ecological Modelling. 1411-1415 - Chinnem Rama Mohan, Rashi Saxena, K. T. Thilagham, Phani Kumar Solleti, S. Sivasubramanian, Dharamvir:
Blockchain-Based Solutions for Enhancing Data Integrity and Security. 1416-1420 - Subham Sharma, Naween Kumar, Yajnaseni Dash, Ankit Dubey, Khusboo Devi:
Intelligent Multi-Cloud Orchestration for AI Workloads: Enhancing Performance and Reliability. 1421-1426 - Khushboo Devi, Naween Kumar, Sachikanta Dash, Yajnaseni Dash, Sasmita Padhy:
Harnessing Machine Learning for Enhanced Agricultural Efficiency through Advanced Data Analysis and IoT Integration. 1427-1432 - Preetam Suman, Sasmita Padhy, Amrit Suman, Masood H. Siddiqui, Naween Kumar, Yajnaseni Dash:
Enhanced Deep Learning Algorithm for Skin Cancer Detection. 1434-1439 - Om Nandkumar Paithankar, Armaan Mohammed Haider, Preetam Suman, Sasmita Padhy, Masood H. Siddiqui, Sachikanta Dash:
Intrusion Detection Systems to avoid Cyberattack using Machine Learning. 1440-1446 - Soumya Ranjan Mishra, Sachikanta Dash, Sasmita Padhy, Naween Kumar, Yajnaseni Dash:
Integrating Multi-Omics Data for Advanced Diabetes Prediction and Understanding. 1447-1453 - Anita Murmu, Shipra Swati, Naween Kumar, Rajiv Murmu, Yajnaseni Dash:
Deep Learning Based Encoder-Decoder Model for Skin Cancer Classification. 1454-1459 - K. S. Manoj Ram, K. Veerasamy, Chinnem Rama Mohan, N. Krishna Kumar, P. B. Edwin Prabhakar, Aysola Sai Chander:
Addressing Scalability and Latency Issues in Blockchain-Based IoT Applications. 1460-1465 - V. Nivetha, A. Shameem, J. Suhashini, B. Venugopal, Nitin Kulshrestha, Mahesh Manohar Bhanushali:
Exploring the Use of Big Data in Financial Risk Management and Fraud Detection. 1466-1471 - Kirti Singh, D. P. Singh, Krishan Kumar, Deepshikha Bhargava:
Comprehensive Review of Breast Cancer for Precision Oncology. 1472-1477 - Ankush Goyal, Rajesh Kumar Shrivastava, Mohit Agarwal, Neeraj Joshi:
Enhanced Prediction of Lung Cancer Using Machine Learning. 1478-1483 - Mani Jindal, Nivedita Srivastava, Ankush Goyal:
An Empirical Analysis and Investigation of Unicorn Startup Companies. 1484-1487 - B. Santosh Kumar, Yagateela Pandu Rangaiah, Navdeep Singh, K. Jyothsna Reddy, Taqi Mohammed Khattab Al-Rubaye, K. Butchi Raju:
Scalable Cloud-Integrated Analytics and Visualization for Real-Time Smart Grid Management. 1488-1494 - Yagateela Pandu Rangaiah, Hanamant Yaragudri, K. Pushpa Rani, Navdeep Singh, Ali Albawi, Susmita Kalyani:
Blockchain and Machine Learning for Optimized Resource Allocation in Cloud Computing Services. 1495-1501 - Yagateela Pandu Rangaiah, V. Revathi, Amit Dutt, Smita Sharma, Taqi Mohammed Khattab Al-Rubaye, K. Pushpa Rani:
Advanced Traffic Flow Prediction Using LSTM Networks and Big Data Integration for Urban Mobility Optimization. 1502-1507 - V. Asha, Yagateela Pandu Rangaiah, Ginni Nijhawan, Ali Albawi, K. Pushpa Rani, Susmita Kalyani:
Adaptive Multi-Resolution Framework for Scalable and Efficient Big Data Processing. 1508-1514 - V. S. Anusuya Devi, N. Sreevani, Amandeep Nagpal, K. Jyothsna Reddy, Sajjad Ziara, K. Butchi Raju:
Enhanced Detection of Weak Signals in Chaotic Systems Through Hybrid Neuro-Fuzzy Inference Techniques. 1515-1521 - Gopal Kaliyaperumal, Anitha Gatla, Sorabh Lakhanpal, K. Jyothsna Reddy, Rusul Najm, K. Butchi Raju:
Adaptive Framework for Comprehensive Quality Assessment in Unstructured Big Data. 1522-1528 - S. P. Sreeja, D. Sreenivasulu, Alok Jain, R. Akhilesh Reddy, Fatimah Dhari Jabbar, V. Keerthi:
Advanced Hybrid Intelligence Framework for Scalable and Robust Big Data Analytics. 1529-1535 - Muthuswamy Jayanthi, Pendyala Shamili Srimani, Manish Gupta, Hazim Y. Saeed, V. Keerthi, R. Akhilesh Reddy:
Advanced Framework for Quantifying and Managing Renewable Energy Variability in Power Grids. 1536-1542 - Rakesh Chandrashekar, Kirana Kumar, Sorabh Lakhanpal, V. Keerthi, Hazim Y. Saeed, R. Akhilesh Reddy:
Enhancing Electric Power System Reliability through Advanced Data Quality Assurance with PowerDataQ Framework. 1543-1548 - N. V. Uma Reddy, Yagateela Pandu Rangaiah, Amandeep Nagpal, K. Jyothsna Reddy, Sajjad Ziara, Y. Krishna Bargavi:
Transfer Learning for Energy Consumption Forecasting in Smart Buildings. 1549-1555 - Ramenani Hari Babu, Ismail Keshta, Mukesh Soni, Berdjouh Chafik, Haewon Byeon, Vertika Rai:
Artificial Intelligence aware Knowledge Graphs and Deep Learning-Based Diagnostic Prediction Model in Healthcare. 1556-1562 - Adesh V. Panchal, Manish Kumar M. Patel:
Multimodal Neural Network Model for Intelligent Diagnosis of Melanoma Skin Disease. 1563-1568 - Pramod Kumar, Faisal Yousef Alghayadh, Vinay Prasad Tamta, Monika Anand, Mukesh Soni, Jitendra Kumar Chaudhary:
Artificial Intelligence based Healthcare Knowledge Structure for Automatic Medical Report Generation. 1569-1575 - Mukesh Soni, Maher Ali Rusho, Haewon Byeon, Azzah A. Alghamdi, Shaikh Abdul Hannan, Parth Rameshchandra Dave:
Artificial Intelligence-based Service Chains Scheduling for Medical Emergency in Healthcare. 1576-1582 - Bhavesh A. Oza, Ihtiram Raza Khan, Naga Sathya Lakshman Kumar Kanulla, Shakh Md Shakib Hasan, Sandeep Kumar Davuluri, Lakshmi Narayana Pothakamuri:
Artificial Intelligence based Ensemble Learning Approach for Brain Tumour Classification Using MRI Images. 1583-1588 - Arya Kashikar, Sudhanshu Maurya, Tirthak Likhar, Kashish Mirza, Ajay Kumar Yadav, Deepak Suresh Asudani:
Pancreatic Cancer Diagnosis from CT Scan Images Using Machine Learning Methods. 1589-1595 - Arya Kashikar, Sudhanshu Maurya, Himanshu Pant, Parbhat Gupta, Deepak Suresh Asudani, Ajay Kumar Yadav:
Melanoma Skin Cancer Detection Using Deep Learning Techniques. 1596-1602 - Puneet Sharma, J. Shyamala Devi, K. Manikandan, R. Ani Minisha, R. Harini, S. Karthik:
The Role of Edge Computing in Enhancing Cloud Performance and Reducing Latency. 1603-1608 - Mukesh Madanan, Pratik Patel, Prateek Agrawal, Pankaj Mudholkar, Megha Mudholkar, V. Jaganraja:
Security Challenges in Multi-Cloud Environments: Solutions and Best Practices. 1608-1614 - Dileep S. Sadhankar, S. P. Santhoshkumar, M. K. Sharma, Pratha Saxena, Ch. Srinivasa Reddy, Amit Kumar Jain:
Machine Learning and Cloud Computing: Synergies And Innovations for Data-Driven Insights. 1615-1619 - S. Saranya, Monika, K. Manikandan, Jangam Nagaraju, S. Nagendiran, B. T. Geetha:
Blockchain-Based Identity Management: Enhancing Privacy and Security in Digital Identity System. 1620-1625 - Angatha Veera Venkata Sudhakar, M. K. Sharma, Chinnem Rama Mohan, Er. Suraj Singh, Kuldeep Chouhan, B. T. Geetha:
Neural Network Interpretability: Methods for Understanding and Visualizing Deep Learning Models. 1626-1630 - Raveena R. Nair, D. Sreevidya, Chinnem Rama Mohan, Joydeep Banerjee, Kuldeep Chouhan, Dharamvir:
Comprehensive Approaches to Securing Multi-Cloud Architectures: Best Practices and Emerging Solutions. 1631-1636 - Lakshmikanth Raja, Geetha Manoharan:
The Ethics of Machine Learning in Human Resources: Navigating Fairness and Efficiency. 1637-1642 - Mohammed Al Awadh, K. K. Karthick, K. K. Ramachandran:
Cognitive Computing in E-Commerce Enhancing Supply Chain Management. 1643-1648 - Abdul Sajid Mohammed, Vinay Mallikarjunaradhya, Madhusudhan Dasari Sreeramulu, Nagesh Boddapati, Nasmin Jiwani, Yuvaraj Natarajan:
Optimizing Real-time Task Scheduling in Cloud-based AI Systems using Genetic Algorithms. 1649-1653 - Vinay Mallikarjunaradhya, Madhusudhan Dasari Sreeramulu, Abdul Sajid Mohammed, Nagesh Boddapati, Ketan Gupta, Yuvaraj Natarajan:
Efficient Resource Management for Real-time AI Systems in the Cloud using Reinforcement Learning. 1654-1659 - Madhusudhan Dasari Sreeramulu, Abdul Sajid Mohammed, Dinesh Kalla, Nagesh Boddapati, Yuvaraj Natarajan:
AI-driven Dynamic Workload Balancing for Real-time Applications on Cloud Infrastructure. 1660-1665 - Anurag Shrivastava, Arnav Kotiyal, Mohammed I. Habelalmateen, Ajay Rana, V. S. Anusuya Devi, Bolleddu Devananda Rao, Saloni Bansal:
Leveraging XGBoost for Predictive Analytics in Healthcare: Enhancing Disease Diagnosis. 1666-1672 - Shuchi Bhadula, Myasar Mundher Adnan, Rakesh Kumar, Ajay Rana, Gopal Kaliyaperumal, Bolleddu Devananda Rao, Nandini Shirish Boob:
Optimizing Random Forest Algorithms for LargeScale Data Analysis. 1673-1678 - Meenakshi Maindola, Ramy Riad Al-Fatlawy, Rakesh Kumar, Nandini Shirish Boob, S. P. Sreeja, N. Sirisha, Abhinav Srivastava:
Utilizing Random Forests for High-Accuracy Classification in Medical Diagnostics. 1679-1685 - Arnav Kotiyal, Zaid Alsalami, Nandini Shirish Boob, Arti Badhoutiya, T. Mounika, Muthuswamy Jayanthi, Prateek Chaturvedi:
Enhancing Autonomous Vehicle Navigation with Real-Time Object Detection Using Convolutional Neural Networks. 1686-1692 - Sanjeev Kukreti, Kassem Al-Attabi, Rakesh Chandrashekar, K. Pushpa Rani, Arti Badhoutiya, Nandini Shirish Boob, Abhinav Srivastava:
Enhancing Disease Prediction through Random Forests in Healthcare Analytics. 1693-1699 - Himanshu Rai Goyal, Saif O. Husain, Krishna Kant Dixit, Nandini Shirish Boob, B. Ravali Reddy, Jaysheel Kumar, Smita Sharma:
Advanced Deep Learning Approaches for Real-Time Anomaly Detection in IoT Environments. 1700-1706 - Vipashi Kansal, Ammar Hameed Shnain, A Deepak, Aditya Rana, Manjunatha, Krishna Kant Dixit, K. Varada Rajkumar:
Deep Reinforcement Learning for IoT-Based Smart Traffic Management Systems. 1707-1713 - Arnav Kotiyal, Layth Hussein, A Deepak, Aryan Rana, Manjunatha, Krishna Kant Dixit, R. Akhilesh Reddy:
Graph-Based Machine Learning Approaches for Fraud Detection in Financial Networks. 1714-1720 - Himanshu Rai Goyal, Mohammed Al-Farouni, A Deepak, R. Akhilesh Reddy, Kanchan Yadav, V. Revathi:
Revolutionizing Cancer Diagnosis with Deep Learning: A Case Study Using U-Net. 1721-1726 - Gulshan Dhasmana, Hassan M. Al-Jawahry, A Deepak, K. Aravind, R. Akhilesh Reddy, Kanchan Yadav:
Applying Convolutional Neural Networks for Disease Detection in Crop Images. 1727-1732 - Ankita Nainwal, Haider Alabdeli, Neeraj Varshney, A Deepak, N. V. Uma Reddy, K. Jyothsna Reddy:
Support Vector Machines for Soil Quality Assessment in Sustainable Farming. 1733-1738 - Mudit Mittal, Hassan M. Al-Jawahry, Neeraj Varshney, Sunil Prashanth Kumar, Jacob Michaelson, R. Akhilesh Reddy:
Deployment Schemes of In-Band Management Mode Based on Industrial SDN Network. 1739-1748 - Mudit Mittal, Hassan M. Al-Jawahry, Neeraj Varshney, Sunil Prashanth Kumar, Jacob Michaelson, R. Akhilesh Reddy:
Improving Support Vector Machine Performance with Advanced Kernel Methods. 1749-1754 - Anurag Shrivastava, Upma Jain, Mohammed Al-Farouni, Yogendra Kumar, R. J. Anandhi, Munugapati Bhavana:
Proposed Framework for Modifications to Artificial Intelligence/Machine Learning (Ai/Ml)-Based Software as A Medical Device (SAMD). 1755-1763 - Anurag Shrivastava, Tanusha Mittal, Muntather Almusawi, Yogendra Kumar, R. J. Anandhi, Munugapati Bhavana:
Analysis of Apt Attack for Source Tracing in Industrial Internet Environment. 1764-1772 - Anurag Shrivastava, Meenakshi Maindola, Haider Alabdeli, K. Gopal, Nagarjuna Thandra, Saloni Bansal:
Signal Detection of MIMO System with One Bit ADCS Based on Deep Learning. 1773-1781 - Sanjeev Kukreti, Hassan M. Al-Jawahry, Anurag Shrivastava, Saloni Bansal, Hemanth Raju, Rowsonara Begum:
Map Reduce Techniques for Machine Learning in Big Data Analytics. 1782-1790 - Amit Shrivastava, Rakesh Kumar:
Enhanced Framework for Multi-Label Text Classification Using Beta Ant Colony Optimisation (BACO) Ensembling Approach. 1791-1799
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