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ORCIDMukesh Prasad
Person information
- affiliation: University of Technology Sydney, Faculty of Engineering and Information Technology, Australia
- affiliation (PhD 2015): National Chiao Tung University, Department of Computer Science, Taiwan
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Journal Articles
- 2024
[j85]Illia Khurtin
, Mukesh Prasad:
A Contextual Model for Visual Information Processing. Comput. 13(6): 155 (2024)- [j84]Saïma Sultana, Muhammad Mansoor Alam, Mazliham Mohd Su'ud, Jawahir Che Mustapha Yusuf, Mukesh Prasad:
A Deep Dive into Robot Vision - An Integrative Systematic Literature Review Methodologies and Research Endeavor Practices. ACM Comput. Surv. 56(9): 233:1-233:33 (2024) - [j83]Nirbhav, Anand Malik, Maheshwar, Mukesh Prasad:
Landslide susceptibility assessment along the major transport corridor using decision tree model: a case study of Kullu-Rohtang Pass. Int. J. Bus. Intell. Data Min. 24(1): 1-24 (2024) - [j82]Yingcong Huang, Kunal Chaturvedi, Al-Akhir Nayan, Mohammad Hesam Hesamian, Ali Braytee, Mukesh Prasad:
Early Parkinson's Disease Diagnosis through Hand-Drawn Spiral and Wave Analysis Using Deep Learning Techniques. Inf. 15(4): 220 (2024) - [j81]Hamza Sulimani, Rahaf Sulimani, Fahimeh Ramezani, Mohsen Naderpour, Huan Huo, Tony Jan, Mukesh Prasad:
HybOff: a Hybrid Offloading approach to improve load balancing in fog environments. J. Cloud Comput. 13(1): 113 (2024) - [j80]Javier Fumanal, Carmen Vidaurre, Javier Fernández, Marisol Gómez, Javier Andreu-Perez, Mukesh Prasad, Humberto Bustince:
Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface. Pattern Recognit. 145: 109924 (2024) - [j79]Chandan Kumar, Sudhanshu Kumar Jha, Dilip Kumar Yadav, Shiv Prakash, Mukesh Prasad:
A generalized approach to construct node probability table for Bayesian belief network using fuzzy logic. J. Supercomput. 80(1): 75-97 (2024) - 2023
- [j78]Idrees Alsolbi, Fahimeh Hosseinnia Shavaki, Renu Agarwal, Gnana Bharathy, Shiv Prakash, Mukesh Prasad:
Big data optimisation and management in supply chain management: a systematic literature review. Artif. Intell. Rev. 56(S1): 253-284 (2023) - [j77]Deepesh Chugh, Himanshu Mittal, Amit Saxena, Ritu Chauhan, Eiad Yafi, Mukesh Prasad:
Augmentation of Densest Subgraph Finding Unsupervised Feature Selection Using Shared Nearest Neighbor Clustering. Algorithms 16(1): 28 (2023) - [j76]Pratham Grover, Kunal Chaturvedi, Xing Zi, Amit Saxena, Shiv Prakash, Tony Jan, Mukesh Prasad:
Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI. Algorithms 16(8): 377 (2023) - [j75]Inder Khatri, Arjun Choudhry, Aryaman Rao, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Influence Maximization in social networks using discretized Harris' Hawks Optimization algorithm. Appl. Soft Comput. 149(Part B): 111037 (2023) - [j74]Hamza Sulimani, Akbar Muhammad Sajjad, Wael Y. Alghamdi, Omprakash Kaiwartya, Tony Jan, Simeon Simoff, Mukesh Prasad:
Reinforcement optimization for decentralized service placement policy in IoT-centric fog environment. Trans. Emerg. Telecommun. Technol. 34(11) (2023) - [j73]Anand Singh Rajawat, S. B. Goyal, Pradeep Bedi, Tony Jan, Md Whaiduzzaman, Mukesh Prasad:
Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT). Future Internet 15(8): 271 (2023) - [j72]Ratnesh Kumar Sharma, Gnana Bharathy, Faezeh Karimi, Anil V. Mishra, Mukesh Prasad:
Thematic Analysis of Big Data in Financial Institutions Using NLP Techniques with a Cloud Computing Perspective: A Systematic Literature Review. Inf. 14(10): 577 (2023) - [j71]Idrees Alsolbi, Renu Agarwal, Bhuvan Unhelkar, Tareq Al-Jabri, Mahendra Samarawickrama, Siamak Tafavogh, Mukesh Prasad:
A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations. Inf. 14(10): 578 (2023) - [j70]Akshansh Gupta, Dhirendra Kumar, Hanuman Verma, Muhammad Tanveer, Javier Andreu-Perez, Chin-Teng Lin, Mukesh Prasad:
Recognition of multi-cognitive tasks from EEG signals using EMD methods. Neural Comput. Appl. 35(31): 22989-23006 (2023) - [j69]Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Hai Ya Lu, Gnana Bharathy, Mukesh Prasad:
Explainable hybrid word representations for sentiment analysis of financial news. Neural Networks 164: 115-123 (2023) - [j68]Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad:
SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation. Sensors 23(7): 3649 (2023) - [j67]Ayman Elgharabawy, Mukesh Prasad, Chin-Teng Lin:
Preference Neural Network. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1362-1376 (2023) - 2022
- [j66]Amit Saxena, Deepesh Chugh, Himanshu Mittal, Mohammad Sajid, Ritu Chauhan, Eiad Yafi, Jian Cao, Mukesh Prasad:
A Novel Unsupervised Feature Selection Approach Using Genetic Algorithm on Partitioned Data. Adv. Artif. Intell. Mach. Learn. 2(4): 500-515 (2022) - [j65]Sharifah Farhana Syed-Ab-Rahman, Mohammad Hesam Hesamian, Mukesh Prasad:
Citrus disease detection and classification using end-to-end anchor-based deep learning model. Appl. Intell. 52(1): 927-938 (2022) - [j64]Mohammad Sajid, Himanshu Mittal, Shreya Pare, Mukesh Prasad:
Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach. Appl. Soft Comput. 126: 109225 (2022) - [j63]Deepak Puthal, Stanly Wilson, Ashish Nanda, Ming Liu, Srinibas Swain, Biswa P. S. Sahoo, Kumar Yelamarthi, Prashant Pillai, Hesham El-Sayed, Mukesh Prasad:
Decision tree based user-centric security solution for critical IoT infrastructure. Comput. Electr. Eng. 99: 107754 (2022) - [j62]Bhuvan Unhelkar, Sudhanshu Joshi, Manu Sharma, Shiv Prakash, Ashwin Krishna Mani, Mukesh Prasad:
Enhancing supply chain performance using RFID technology and decision support systems in the industry 4.0-A systematic literature review. Int. J. Inf. Manag. Data Insights 2(2): 100084 (2022) - [j61]Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Priyanka Singh, Huan Huo, Gnana Bharathy, Mukesh Prasad:
Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques. Int. J. Hum. Comput. Stud. 160: 102761 (2022) - [j60]Deepak Gupta, Parashjyoti Borah, Usha Mary Sharma, Mukesh Prasad:
Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis. Neural Comput. Appl. 34(14): 11335-11345 (2022) - [j59]Kalyan Kumar Jena, Sourav Kumar Bhoi, Mukesh Prasad, Deepak Puthal:
A fuzzy rule-based efficient hospital bed management approach for coronavirus disease-19 infected patients. Neural Comput. Appl. 34(14): 11361-11382 (2022) - [j58]Abdullah Bin Sawad, Bhuva Narayan, Ahlam Alnefaie, Ashwaq Maqbool, Indra Mckie, Jemma Smith, Berkan Yuksel, Deepak Puthal, Mukesh Prasad, Ahmet Baki Kocaballi:
A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions. Sensors 22(7): 2625 (2022) - [j57]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras, Elpiniki I. Papageorgiou, Mukesh Prasad, Chin-Teng Lin:
Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics. IEEE Trans. Cogn. Dev. Syst. 14(1): 50-63 (2022) - [j56]Ehsan Ranjbar, Amir Abolfazl Suratgar, Mohammad Bagher Menhaj, Mukesh Prasad:
Design of a Fuzzy Adaptive Sliding Mode Control System for MEMS Tunable Capacitors in Voltage Reference Applications. IEEE Trans. Fuzzy Syst. 30(6): 1838-1852 (2022) - 2021
- [j55]Ankita Jaiswal, Sushil Kumar, Omprakash Kaiwartya, Mukesh Prasad, Neeraj Kumar, Houbing Song:
Green computing in IoT: Time slotted simultaneous wireless information and power transfer. Comput. Commun. 168: 155-169 (2021) - [j54]Kuang-Pen Chou, Mukesh Prasad, Jie Yang, Sheng-Yao Su, Xian Tao, Amit Saxena, Wen-Chieh Lin, Chin-Teng Lin:
A robust real-time facial alignment system with facial landmarks detection and rectification for multimedia applications. Multim. Tools Appl. 80(11): 16635-16657 (2021) - [j53]Eric-Juwei Cheng, Mukesh Prasad, Jie Yang, Ding-Rong Zheng, Xian Tao, Domingo Mery, Kuu-Young Young, Chin-Teng Lin:
A novel online self-learning system with automatic object detection model for multimedia applications. Multim. Tools Appl. 80(11): 16659-16681 (2021) - [j52]Deepak Gupta, Ambika Choudhury, Umesh Gupta, Priyanka Singh, Mukesh Prasad:
Computational approach to clinical diagnosis of diabetes disease: a comparative study. Multim. Tools Appl. 80(20): 30091-30116 (2021) - [j51]Abida Ashraf, Saeeda Naz, Syed Hamad Shirazi, Imran Razzak, Mukesh Prasad:
Deep transfer learning for alzheimer neurological disorder detection. Multim. Tools Appl. 80(20): 30117-30142 (2021) - [j50]Shreya Pare, Himanshu Mittal, Mohammad Sajid, Jagdish Chand Bansal, Amit Saxena, Tony Jan, Witold Pedrycz, Mukesh Prasad:
Remote Sensing Imagery Segmentation: A Hybrid Approach. Remote. Sens. 13(22): 4604 (2021) - [j49]Ayman Elgharabawy, Mukesh Prasad, Chin-Teng Lin:
Subgroup Preference Neural Network. Sensors 21(18): 6104 (2021) - [j48]Varad Kabade, Ritika Hooda, Chahat Raj, Zainab Awan, Allison S. Young, Miriam S. Welgampola, Mukesh Prasad:
Machine Learning Techniques for Differential Diagnosis of Vertigo and Dizziness: A Review. Sensors 21(22): 7565 (2021) - [j47]Mohammad Sajid, Jagendra Singh, Raza Abbas Haidri, Mukesh Prasad, Vijayakumar Varadarajan, Ketan Kotecha, Deepak Garg:
A Novel Algorithm for Capacitated Vehicle Routing Problem for Smart Cities. Symmetry 13(10): 1923 (2021) - [j46]Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad:
A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(5): 74:1-74:35 (2021) - [j45]Om Prakash Patel, Neha Bharill, Aruna Tiwari, Mukesh Prasad:
A Novel Quantum-Inspired Fuzzy Based Neural Network for Data Classification. IEEE Trans. Emerg. Top. Comput. 9(2): 1031-1044 (2021) - [j44]Dong-Lin Li, Mukesh Prasad, Chih-Ling Liu, Chin-Teng Lin:
Multi-View Vehicle Detection Based on Fusion Part Model With Active Learning. IEEE Trans. Intell. Transp. Syst. 22(5): 3146-3157 (2021) - [j43]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Weiping Ding, Chin-Teng Lin, Mukesh Prasad:
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3080-3092 (2021) - 2020
- [j42]Domingo Mery, Daniel Saavedra, Mukesh Prasad:
X-Ray Baggage Inspection With Computer Vision: A Survey. IEEE Access 8: 145620-145633 (2020) - [j41]Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad:
A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms 13(9): 215 (2020) - [j40]Liang-Cheng Chang, Shreya Pare, Mahendra Singh Meena, Deepak Jain, Dong-Lin Li, Amit Saxena, Mukesh Prasad, Chin-Teng Lin:
An Intelligent Automatic Human Detection and Tracking System Based on Weighted Resampling Particle Filtering. Big Data Cogn. Comput. 4(4): 27 (2020) - [j39]Ajay Sikandar, Rajeev Agrawal, Manoj Kumar Tyagi, A. L. Narasimha Rao, Mukesh Prasad, Muhammad Binsawad:
Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution. EURASIP J. Wirel. Commun. Netw. 2020(1): 183 (2020) - [j38]Ashish Kumar Gupta, Ayan Seal, Mukesh Prasad, Pritee Khanna:
Salient Object Detection Techniques in Computer Vision - A Survey. Entropy 22(10): 1174 (2020) - [j37]Shiv Prakash, Sudhanshu Joshi, Tanvi Bhatia, Sadhna Sharma, Durgesh Samadhiya, Rajiv Ratn Shah, Omprakash Kaiwartya, Mukesh Prasad:
Characteristic of enterprise collaboration system and its implementation issues in business management. Int. J. Bus. Intell. Data Min. 16(1): 49-65 (2020) - [j36]Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad:
A hierarchical meta-model for multi-class mental task based brain-computer interfaces. Neurocomputing 389: 207-217 (2020) - [j35]Neha Bharill, Aruna Tiwari, Aayushi Malviya, Om Prakash Patel, Akahansh Gupta, Deepak Puthal, Amit Saxena, Mukesh Prasad:
Fuzzy knowledge based performance analysis on big data. Neurocomputing 389: 218-228 (2020) - [j34]Zelin Liu, Jian Cao, Yudong Tan, Quan-Wu Xiao, Mukesh Prasad:
Planning Above the API Clouds Before Flying Above the Clouds: A Real-Time Personalized Air Travel Planning Approach. Int. J. Parallel Program. 48(1): 137-156 (2020) - [j33]Yurui Ming, Danilo Pelusi, Chieh-Ning Fang, Mukesh Prasad, Yu-Kai Wang, Dongrui Wu, Chin-Teng Lin:
EEG data analysis with stacked differentiable neural computers. Neural Comput. Appl. 32(12): 7611-7621 (2020) - [j32]Muhammad Tanveer, Bharat Richhariya, Riyaj Uddin Khan, Ashraf Haroon Rashid, Pritee Khanna, Mukesh Prasad, Chin-Teng Lin:
Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 30:1-30:35 (2020) - [j31]Jung-Tai King, Mukesh Prasad, Tsen Tsai, Yurui Ming, Chin-Teng Lin:
Influence of Time Pressure on Inhibitory Brain Control During Emergency Driving. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4408-4414 (2020) - 2019
- [j30]Neha Bharill, Om Prakash Patel, Aruna Tiwari, Lifeng Mu, Dong-Lin Li, Manoranjan Mohanty, Omprakash Kaiwartya, Mukesh Prasad:
A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering. IEEE Access 7: 50347-50361 (2019) - [j29]Chin-Teng Lin, Jung-Tai King, Priyanka Bharadwaj, Chih-Hao Chen, Akshansh Gupta, Weiping Ding, Mukesh Prasad:
EOG-Based Eye Movement Classification and Application on HCI Baseball Game. IEEE Access 7: 96166-96176 (2019) - [j28]Om Prakash Patel, Neha Bharill, Aruna Tiwari, Vikram Patel, Ojas Gupta, Jian Cao, Jun Li, Mukesh Prasad:
Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering. IEEE Access 7: 98069-98082 (2019) - [j27]Yurui Ming, Weiping Ding, Danilo Pelusi, Dongrui Wu, Yu-Kai Wang, Mukesh Prasad, Chin-Teng Lin:
Subject adaptation network for EEG data analysis. Appl. Soft Comput. 84 (2019) - [j26]Eric-Juwei Cheng, Kuang-Pen Chou, Shantanu Rajora, Bo-Hao Jin, Muhammad Tanveer, Chin-Teng Lin, Kuu-Young Young, Wen-Chieh Lin, Mukesh Prasad:
Deep Sparse Representation Classifier for facial recognition and detection system. Pattern Recognit. Lett. 125: 71-77 (2019) - [j25]Om Prakash Patel, Aruna Tiwari, Rishabh Chaudhary, Sai Vidyaranya Nuthalapati, Neha Bharill, Mukesh Prasad, Farookh Khadeer Hussain, Omar Khadeer Hussain:
Enhanced quantum-based neural network learning and its application to signature verification. Soft Comput. 23(9): 3067-3080 (2019) - 2018
- [j24]Chin-Teng Lin, Mukesh Prasad, Chia-Hsin Chung, Deepak Puthal, Hesham El-Sayed, Sharmi Sankar, Yu-Kai Wang, Jagendra Singh, Arun Kumar Sangaiah:
IoT-Based Wireless Polysomnography Intelligent System for Sleep Monitoring. IEEE Access 6: 405-414 (2018) - [j23]Hesham El-Sayed, Sharmi Sankar, Mukesh Prasad, Deepak Puthal, Akshansh Gupta, Manoranjan Mohanty, Chin-Teng Lin:
Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment. IEEE Access 6: 1706-1717 (2018) - [j22]Chin-Teng Lin, Jung-Tai King, Jhe-Wei Fan, Abhishek M. Appaji, Mukesh Prasad:
The Influence of Acute Stress on Brain Dynamics During Task Switching Activities. IEEE Access 6: 3249-3255 (2018) - [j21]Kuang-Pen Chou, Mukesh Prasad, Di Wu, Nabin Sharma, Dong-Lin Li, Yu-Feng Lin, Michael Blumenstein, Wen-Chieh Lin, Chin-Teng Lin:
Robust Feature-Based Automated Multi-View Human Action Recognition System. IEEE Access 6: 15283-15296 (2018) - [j20]Chin-Teng Lin, Jung-Tai King, Avinash Kumar Singh, Akshansh Gupta, Zhenyuan Ma, Jheng-Wei Lin, Alexei Manso Corrêa Machado, Abhishek M. Appaji, Mukesh Prasad:
Voice Navigation Effects on Real-World Lane Change Driving Analysis Using an Electroencephalogram. IEEE Access 6: 26483-26492 (2018) - [j19]Rakesh Kumar Lenka, Amiya Kumar Rath, Zhiyuan Tan, Suraj Sharma, Deepak Puthal, N. V. R. Simha, Mukesh Prasad, Rohit Raja, Shankar Sharan Tripathi:
Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors. IEEE Access 6: 30162-30173 (2018) - [j18]Deepak Puthal, Mohammad S. Obaidat, Priyadarsi Nanda, Mukesh Prasad, Saraju P. Mohanty, Albert Y. Zomaya:
Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing. IEEE Commun. Mag. 56(5): 60-65 (2018) - [j17]Weiping Ding, Chin-Teng Lin, Mukesh Prasad:
Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI. Expert Syst. Appl. 101: 243-257 (2018) - [j16]Omprakash Kaiwartya, Abdul Hanan Abdullah, Yue Cao, Jaime Lloret, Sushil Kumar, Rajiv Ratn Shah, Mukesh Prasad, Shiv Prakash:
Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things. IEEE Internet Things J. 5(2): 571-580 (2018) - [j15]Hesham El-Sayed, Sharmi Sankar, Yousef-Awwad Daraghmi, Prayag Tiwari, Ekarat Rattagan, Manoranjan Mohanty, Deepak Puthal, Mukesh Prasad:
Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier. Sensors 18(6): 1696 (2018) - [j14]Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Zehong Cao, Jiandong Wang:
A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue. IEEE Trans. Fuzzy Syst. 26(3): 1177-1191 (2018) - 2017
- [j13]Suraj Sharma, Deepak Puthal, Sabah Tazeen, Mukesh Prasad, Albert Y. Zomaya:
MSGR: A Mode-Switched Grid-Based Sustainable Routing Protocol for Wireless Sensor Networks. IEEE Access 5: 19864-19875 (2017) - [j12]Abdul Hanan Abdullah, Mohammad Yazid Bin Idris, Omprakash Kaiwartya, Mukesh Prasad, Rajiv Ratn Shah:
Real traffic-data based evaluation of vehicular traffic environment and state-of-the-art with future issues in location-centric data dissemination for VANETs. Digit. Commun. Networks 3(3): 195-210 (2017) - [j11]Omprakash Kaiwartya, Mukesh Prasad, Shiv Prakash, Durgesh Samadhiya, Abdul Hanan Abdullah, Syed Othmawi Abd Rahman:
An Investigation on Biometric Internet Security. Int. J. Netw. Secur. 19(2): 167-176 (2017) - [j10]Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin:
A review of clustering techniques and developments. Neurocomputing 267: 664-681 (2017) - [j9]Mukesh Prasad, Yu-Ting Liu, Dong-Lin Li, Chin-Teng Lin, Rajiv Ratn Shah, Om Prakash Kaiwartya:
A New Mechanism for Data Visualization with Tsk-Type Preprocessed Collaborative Fuzzy Rule Based System. J. Artif. Intell. Soft Comput. Res. 7(1): 33 (2017) - [j8]Mukesh Prasad, Chin-Teng Lin, Dong-Lin Li, Chao-Ting Hong, Weiping Ding, Jyh-Yeong Chang:
Soft-Boosted Self-Constructing Neural Fuzzy Inference Network. IEEE Trans. Syst. Man Cybern. Syst. 47(3): 584-588 (2017) - 2016
- [j7]Omprakash Kaiwartya, Abdul Hanan Abdullah, Yue Cao, Ayman Altameem, Mukesh Prasad, Chin-Teng Lin, Xiulei Liu:
Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects. IEEE Access 4: 5356-5373 (2016) - [j6]Jagendra Singh, Mukesh Prasad, Om Kumar Prasad, Meng Joo Er, Amit Kumar Saxena, Chin-Teng Lin:
A Novel Fuzzy Logic Model for Pseudo-Relevance Feedback-Based Query Expansion. Int. J. Fuzzy Syst. 18(6): 980-989 (2016) - [j5]Dong-Lin Li, Mukesh Prasad, Chin-Teng Lin, Jyh-Yeong Chang:
Self-adjusting feature maps network and its applications. Neurocomputing 207: 78-94 (2016) - [j4]Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Senbo Chen, Zhijin Guan:
Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records. IEEE Trans. Syst. Man Cybern. Syst. 46(3): 384-400 (2016) - 2015
- [j3]Mukesh Prasad, Yang-Yin Lin, Chin-Teng Lin, Meng Joo Er, Om Kumar Prasad:
A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism. Neurocomputing 167: 558-568 (2015) - [j2]Chin-Teng Lin, Mukesh Prasad, Amit Saxena:
An Improved Polynomial Neural Network Classifier Using Real-Coded Genetic Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 45(11): 1389-1401 (2015) - 2012
- [j1]Dong-Lin Li, Mukesh Prasad, Sheng-Chih Hsu, Chao-Ting Hong, Chin-Teng Lin:
Face recognition using nonparametric-weighted Fisherfaces. EURASIP J. Adv. Signal Process. 2012: 92 (2012)
Conference and Workshop Papers
- 2024
- [c69]Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad:
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). AAAI 2024: 23628-23630 - [c68]Abdulrhman Alorini, Abdullah Bin Sawad, Sultan Alharbi, Kiran Ijaz, Mukesh Prasad, Ahmet Baki Kocaballi:
Understanding Privacy in Smart Speakers: A Narrative Review. ACISP (3) 2024: 143-157 - [c67]Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Integration of Self-supervised BYOL in Semi-supervised Medical Image Recognition. ICCS (4) 2024: 163-170 - [c66]Ali Braytee, Andy Shueh-Chih Yang, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad:
A Novel Dual-Pipeline based Attention Mechanism for Multimodal Social Sentiment Analysis. WWW (Companion Volume) 2024: 1816-1822 - 2023
- [c65]Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad:
An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract). AAAI 2023: 16178-16179 - [c64]Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). AAAI 2023: 16240-16241 - [c63]Mansor Alzahrani, Faezeh Karimi, Gnana Bharathy, Mukesh Prasad:
Intention of MOOCs Adoption, Completion and Continued Use. ICWL 2023: 3-12 - [c62]Abdullah Bin Sawad, Rayed Alakhtar, Badraddin Alturki, Bhuva Narayan, Shanshan Lin, Mukesh Prasad, Ahmet Baki Kocaballi:
Towards a Design Framework for Conversational Agents for Diabetes Prevention. OZCHI 2023: 387-398 - [c61]Zeyang Zhou, Ayush Kanwal, Kunal Chaturvedi, Rehan Raza, Shiv Prakash, Tony Jan, Mukesh Prasad:
Deep Learning-Based Classification of Neurodegenerative Diseases Using Gait Dataset: A Comparative Study. RCVE 2023: 59-64 - 2022
- [c60]Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. ICON 2022: 75-79 - 2021
- [c59]Ahlam Alnefaie, Sonika Singh, Ahmet Baki Kocaballi, Mukesh Prasad:
Factors Influencing Artificial Intelligence Conversational Agents Usage in the E-commerce Field: A Systematic Literature Review. ACIS 2021: 47 - [c58]Hamza Sulimani, Wael Y. Alghamdi, Tony Jan, Gnana Bharathy, Mukesh Prasad:
Sustainability of Load Balancing Techniques in Fog Computing Environment: Review. FNC/MobiSPC 2021: 93-101 - [c57]Shreya Pare, Mukesh Prasad, Deepak Puthal, Deepak Gupta, Anand Malik, Amit Saxena:
Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm. FUZZ-IEEE 2021: 1-7 - [c56]Zhengrui Peng, Xinyi Gong, Zhenfeng Lu, Xiangyi Xu, Bengang Wei, Mukesh Prasad:
A Novel Fabric Defect Detection Network Based on Attention Mechanism and Multi-Task Fusion. IC-NIDC 2021: 484-488 - [c55]Surabhi Adhikari, Surendrabikram Thapa, Priyanka Singh, Huan Huo, Gnana Bharathy, Mukesh Prasad:
A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease. IJCNN 2021: 1-8 - [c54]Ali Braytee, Mohamad Naji, Ali Anaissi, Kunal Chaturvedi, Mukesh Prasad:
Zero-Shot Learning with Missing Attributes using Semantic Correlations. IJCNN 2021: 1-7 - [c53]Kunal Chaturvedi, Ali Braytee, Dinesh Kumar Vishwakarma, Muhammad Saqib, Domingo Mery, Mukesh Prasad:
Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection. IJCNN 2021: 1-8 - [c52]Ahlam Alnefaie, Sonika Singh, Ahmet Baki Kocaballi, Mukesh Prasad:
An Overview of Conversational Agent: Applications, Challenges and Future Directions. WEBIST 2021: 388-396 - 2020
- [c51]Sourasekhar Banerjee, Rajiv Misra, Mukesh Prasad, Erik Elmroth, Monowar H. Bhuyan:
Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach. Australasian Conference on Artificial Intelligence 2020: 3-15 - [c50]Xian Tao, Dapeng Zhang, Avinash Kumar Singh, Mukesh Prasad, Chin-Teng Lin, De Xu:
Weak Scratch Detection of Optical Components Using Attention Fusion Network. CASE 2020: 855-862 - [c49]Jin Ho Go, Tony Jan, Manoranjan Mohanty, Om Prakash Patel, Deepak Puthal, Mukesh Prasad:
Visualization Approach for Malware Classification with ResNeXt. CEC 2020: 1-7 - [c48]Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan, Bhuva Narayan, Mukesh Prasad:
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting. ICONIP (5) 2020: 113-120 - [c47]Surendrabikram Thapa, Surabhi Adhikari, Usman Naseem, Priyanka Singh, Gnana Bharathy, Mukesh Prasad:
Detecting Alzheimer's Disease by Exploiting Linguistic Information from Nepali Transcript. ICONIP (4) 2020: 176-184 - [c46]Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad:
Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. IJCNN 2020: 1-6 - [c45]Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad:
End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. IJCNN 2020: 1-8 - [c44]Usman Naseem, Katarzyna Musial, Peter W. Eklund, Mukesh Prasad:
Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding. IJCNN 2020: 1-8 - [c43]Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, Mukesh Prasad:
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease. IJCNN 2020: 1-8 - 2019
- [c42]Altaf Mazhar Soomro, Suresh Paryani, Junaid Rehman, Ricardo Aguilera Echeverria, Nimish Biloria, Mukesh Prasad:
Influencing Human Behaviour to Optimise Energy in Commercial Buildings. ACIS 2019: 95 - [c41]Sha Jiang, Jian Cao, Mukesh Prasad:
The Metrics to Evaluate the Health Status of OSS Projects Based on Factor Analysis. ChineseCSCW 2019: 723-737 - [c40]Ramit Sawhney, Rajiv Ratn Shah, Vedant Bhatia, Chin-Teng Lin, Sagar Aggarwal, Mukesh Prasad:
Exploring the Impact of Evolutionary Computing based Feature Selection in Suicidal Ideation Detection. FUZZ-IEEE 2019: 1-6 - [c39]Tien-Yu Tsai, Chin-Teng Lin, Mukesh Prasad:
An Intelligent Customer Churn Prediction and Response Framework. ISKE 2019: 928-935 - [c38]Mahendra Singh Meena, Priti Singh, Ajay Rana, Domingo Mery, Mukesh Prasad:
A Robust Face Recognition System for One Sample Problem. PSIVT 2019: 13-26 - [c37]Md Akizur Rahman, Priyanka Singh, Ravie Chandren Muniyandi, Domingo Mery, Mukesh Prasad:
Prostate Cancer Classification Based on Best First Search and Taguchi Feature Selection Method. PSIVT 2019: 325-336 - [c36]Deepak Gupta, Hemanga Jyoti Sarma, Kshitij Mishra, Mukesh Prasad:
Regularized Universum twin support vector machine for classification of EEG Signal. SMC 2019: 2298-2304 - [c35]Zehong Cao, Yu-Cheng Chang, Mukesh Prasad, Muhammad Tanveer, Chin-Teng Lin:
Tensor Decomposition for EEG Signals Retrieval. SMC 2019: 2423-2427 - 2018
- [c34]Yurui Ming, Yu-Kai Wang, Mukesh Prasad, Dongrui Wu, Chin-Teng Lin:
Sustained Attention Driving Task Analysis based on Recurrent Residual Neural Network using EEG Data. FUZZ-IEEE 2018: 1-6 - [c33]Alekha Kumar Mishra, Asis Kumar Tripathy, Mohammad S. Obaidat, Zhiyuan Tan, Mukesh Prasad, Balqies Sadoun, Deepak Puthal:
A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors. ICETE (1) 2018: 255-264 - [c32]Mayank Tiwary, Shanya Sharma, Pritish Mishra, Hesham El-Sayed, Mukesh Prasad, Deepak Puthal:
Building Scalable Mobile Edge Computing by Enhancing Quality of Services. IIT 2018: 141-146 - [c31]Deepthi Badarinath, Chaitra S, Neha Bharill, Muhammad Tanveer, Mukesh Prasad, H. N. Suma, Abhishek M. Appaji, Anand Vinekar:
Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening. IJCNN 2018: 1-6 - [c30]Lunkai Fu, Jun Li, Langxiong Zhou, Zhenyuan Ma, Shaopeng Liu, Zhiyong Lin, Mukesh Prasad:
Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer. IJCNN 2018: 1-6 - [c29]Mukesh Prasad, Chih-Ling Liu, Dong-Lin Li, Chandan Jha, Chin-Teng Lin:
Multi-view Vehicle Detection based on Part Model with Active Learning. IJCNN 2018: 1-6 - [c28]Lujuan Zhang, Jun Li, Tao Huang, Zhenyuan Ma, Zhiyong Lin, Mukesh Prasad:
GAN2C: Information Completion GAN with Dual Consistency Constraints. IJCNN 2018: 1-8 - [c27]Mukesh Prasad, Liang-Cheng Chang, Deepak Gupta, Mahardhika Pratama, Suresh Sundaram, Chin-Teng Lin:
Online video streaming for human tracking based on weighted resampling particle filter. INNS Conference on Big Data 2018: 2-12 - [c26]Mukesh Prasad, Ding-Rong Zheng, Domingo Mery, Deepak Puthal, Suresh Sundaram, Chin-Teng Lin:
A fast and self-adaptive on-line learning detection system. INNS Conference on Big Data 2018: 13-22 - [c25]Nguyen Anh, Mukesh Prasad, Narasimalu Srikanth, Suresh Sundaram:
Wind Speed Intervals Prediction using Meta-cognitive Approach. INNS Conference on Big Data 2018: 23-32 - [c24]Nguyen Anh, Mukesh Prasad, Narasimalu Srikanth, Suresh Sundaram:
Wave Forecasting using Meta-cognitive Interval Type-2 Fuzzy Inference System. INNS Conference on Big Data 2018: 33-41 - [c23]Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Md Meftahul Ferdaus, Qing Cai, Mukesh Prasad:
Big Data Analytics based on PANFIS MapReduce. INNS Conference on Big Data 2018: 140-152 - [c22]Fareed Qararyah, Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Shantanu Rajora, Chin-Teng Lin, Mukesh Prasad:
A Time Efficient Model for Region of Interest Extraction in Real Time Traffic Signs Recognition System. SSCI 2018: 83-87 - [c21]Umesh Gupta, Deepak Gupta, Mukesh Prasad:
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine. SSCI 2018: 228-235 - [c20]Parashjyoti Borah, Deepak Gupta, Mukesh Prasad:
Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine. SSCI 2018: 412-419 - [c19]Shantanu Rajora, Dong-Lin Li, Chandan Jha, Neha Bharill, Om Prakash Patel, Sudhanshu Joshi, Deepak Puthal, Mukesh Prasad:
A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance. SSCI 2018: 1958-1963 - [c18]Mukesh Prasad, Shantanu Rajora, Deepak Gupta, Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Pranay Yadav, Prayag Tiwari, Amit Saxena:
Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System. SSCI 2018: 2193-2199 - 2017
- [c17]Zehong Cao, Mukesh Prasad, Chin-Teng Lin:
Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy. FUZZ-IEEE 2017: 1-5 - [c16]Kuang-Pen Chou, Dong-Lin Li, Mukesh Prasad, Mahardhika Pratama, Sheng-Yao Su, Haiyan Lu, Chin-Teng Lin, Wen-Chieh Lin:
Robust Facial Alignment for Face Recognition. ICONIP (3) 2017: 497-504 - [c15]Kuang-Pen Chou, Mukesh Prasad, Dong-Lin Li, Neha Bharill, Yu-Feng Lin, Farookh Khadeer Hussain, Chin-Teng Lin, Wen-Chieh Lin:
Automatic Multi-view Action Recognition with Robust Features. ICONIP (3) 2017: 554-563 - [c14]Eric-Juwei Cheng, Mukesh Prasad, Deepak Puthal, Nabin Sharma, Om Kumar Prasad, Po-Hao Chin, Chin-Teng Lin, Michael Blumenstein:
Deep Learning Based Face Recognition with Sparse Representation Classification. ICONIP (3) 2017: 665-674 - [c13]A. G. Anantha Padmanabha, Abhishek M. Appaji, Mukesh Prasad, Haiyan Lu, Sudhanshu Joshi:
Classification of diabetic retinopathy using textural features in retinal color fundus image. ISKE 2017: 1-5 - [c12]Kuang-Pen Chou, Dong-Lin Li, Mukesh Prasad, Chin-Teng Lin, Wen-Chieh Lin:
A method to enhance the deep learning in an aerial image. ISPACS 2017: 724-728 - [c11]Yu-Chia Hung, Yu-Kai Wang, Mukesh Prasad, Chin-Teng Lin:
Brain dynamic states analysis based on 3D convolutional neural network. SMC 2017: 222-227 - [c10]Kuang-Pen Chou, Mukesh Prasad, Deepak Gupta, Sharmi Sankar, Ting-Wei Xu, Suresh Sundaram, Chin-Teng Lin, Wen-Chieh Lin:
Block-based feature extraction model for early fire detection. SSCI 2017: 1-8 - [c9]Kuang-Pen Chou, Mukesh Prasad, Deepak Puthal, Ping-Hung Chen, Dinesh Kumar Vishwakarma, Suresh Sundaram, Chin-Teng Lin, Wen-Chieh Lin:
Fast Deformable Model for Pedestrian Detection with Haar-like features. SSCI 2017: 1-8 - [c8]Deepak Gupta, Parashjyoti Borah, Mukesh Prasad:
A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM). SSCI 2017: 1-7 - [c7]Jagendra Singh, Mukesh Prasad, Yousef-Awwad Daraghmi, Prayag Tiwari, Pranay Yadav, Neha Bharill, Mahardhika Pratama, Amit Saxena:
Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion. SSCI 2017: 1-7 - 2015
- [c6]Mukesh Prasad, Meng Joo Er, Chin-Teng Lin, Om Kumar Prasad, Manoranjan Mohanty, Jagendra Singh:
Novel Data Knowledge Representation with TSK-Type Preprocessed Collaborative Fuzzy Rule Based System. SSCI 2015: 14-21 - 2014
- [c5]Mukesh Prasad, Kuang-Pen Chou, Amit Saxena, Omprakash Kaiwartya, Dong-Lin Li, Chin-Teng Lin:
Collaborative fuzzy rule learning for Mamdani type fuzzy inference system with mapping of cluster centers. CICA 2014: 15-20 - [c4]Kuang-Pen Chou, Mukesh Prasad, Yang-Yin Lin, Sudhanshu Joshi, Chin-Teng Lin, Jyh-Yeong Chang:
Takagi-Sugeno-Kang type collaborative fuzzy rule based system. CIDM 2014: 315-320 - [c3]Mukesh Prasad, Linda Siana, Dong-Lin Li, Chin-Teng Lin, Yu-Ting Liu Liu, Amit Saxena:
A preprocessed induced partition matrix based collaborative fuzzy clustering for data analysis. FUZZ-IEEE 2014: 1553-1558 - [c2]Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Chun-Hsiang Chuang, Mukesh Prasad, Chin-Teng Lin:
EEG-based driving fatigue prediction system using functional-link-based fuzzy neural network. IJCNN 2014: 4109-4113 - 2013
- [c1]Mukesh Prasad, Chin-Teng Lin, Chien-Ting Yang, Amit Saxena:
Vertical Collaborative Fuzzy C-Means for Multiple EEG Data Sets. ICIRA (1) 2013: 246-257
Informal and Other Publications
- 2024
- [i15]Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee:
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition. CoRR abs/2404.10405 (2024) - [i14]Zhen Qu, Xian Tao, Mukesh Prasad, Fei Shen, Zhengtao Zhang, Xinyi Gong, Guiguang Ding:
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation. CoRR abs/2407.12276 (2024) - [i13]Shichen Qu, Xian Tao, Zhen Qu, Xinyi Gong, Zhengtao Zhang, Mukesh Prasad:
ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with Feature Reconstruction and Refinement. CoRR abs/2407.17705 (2024) - 2023
- [i12]Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad:
Self-Supervised Object Segmentation with a Cut-and-Pasting GAN. CoRR abs/2301.00366 (2023) - [i11]Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad:
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). CoRR abs/2311.18676 (2023) - 2022
- [i10]Dilini Rajapaksha, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Mukesh Prasad, Mahendra Samarawickrama:
Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019-2020 Australian Bushfires Case Study. CoRR abs/2210.09034 (2022) - [i9]Vivek Velivela, Chahat Raj, Muhammad Salman Tiwana, Raj Prasanna, Mahendra Samarawickrama, Mukesh Prasad:
The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising. CoRR abs/2210.11322 (2022) - [i8]Aaryan Gupta, Inder Khatri, Arjun Choudhry, Pranav Chandhok, Dinesh Kumar Vishwakarma, Mukesh Prasad:
A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes. CoRR abs/2211.09657 (2022) - [i7]Inder Khatri, Arjun Choudhry, Aryaman Rao, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy. CoRR abs/2211.09683 (2022) - [i6]Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. CoRR abs/2211.13718 (2022) - [i5]Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad:
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning. CoRR abs/2211.17108 (2022) - [i4]Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization. CoRR abs/2211.17200 (2022) - 2021
- [i3]Kamaladdin Fataliyev, Aneesh Sreevallabh Chivukula, Mukesh Prasad, Wei Liu:
Stock Market Analysis with Text Data: A Review. CoRR abs/2106.12985 (2021) - [i2]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad:
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. CoRR abs/2111.08154 (2021) - 2020
- [i1]Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad:
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models. CoRR abs/2010.15036 (2020)
Coauthor Index
Omprakash Kaiwartya
aka: Om Prakash Kaiwartya
aka: Om Prakash Kaiwartya
[j70] [j67] [j57] [j54] [j53] [j49] [j44] [j43] [j41] [j40] [j36] [j33] [j32] [j31] [j29] [j27] [j26] [j24] [j23] [j22] [j21] [j20] [j17] [j14] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c50] [c40] [c39] [c35] [c34] [c29] [c27] [c26] [c22] [c17] [c16] [c15] [c14] [c12] [c11] [c10] [c9] [c6] [c5] [c4] [c3] [c2] [c1] [i2]
Amit Saxena 0001
aka: Amit Kumar Saxena
aka: Amit Kumar Saxena
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