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ORCIDICDCIT 2024, Bhubaneswar, India
- Stéphane Devismes
, Partha Sarathi Mandal, V. Vijaya Saradhi, Bhanu Prasad, Anisur Rahaman Molla, Gokarna Sharma:
Distributed Computing and Intelligent Technology - 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17-20, 2024, Proceedings. Lecture Notes in Computer Science 14501, Springer 2024, ISBN 978-3-031-50582-9
Distributed Computing
- Meenakshi Sharma, Nityananda Sarma:
Utility-Driven Joint Time-and-Power Allocation in Energy-Harvesting Cognitive Radio Relay Networks. 3-17 - Pruthvi Raj Venkatesh, P. Radha Krishna:
An Improved and Efficient Distributed Computing Framework with Intelligent Task Scheduling. 18-33 - Kamalesh Karmakar, Shramana Dey, Rajib K. Das, Sunirmal Khatua:
Scheduling of Containerized Resources for Microservices in Cloud. 34-49 - Akhirul Islam, Manojit Ghose:
ELITE: Energy and Latency-Optimized Task Offloading for DVFS-Enabled Resource-Constrained Devices in MEC. 50-67 - Abhinav Chakraborty, Krishnendu Mukhopadhyaya:
Parking Problem by Oblivious Mobile Robots in Infinite Grids. 68-84 - Archak Das, Satakshi Ghosh, Avisek Sharma, Pritam Goswami, Buddhadeb Sau:
The Computational Landscape of Autonomous Mobile Robots: The Visibility Perspective. 85-100 - S. R. Nagalakshmi, Meenakshi D'Souza:
Coverage Criteria Based Testing of IoT Applications. 101-116 - Sharmistha Mandal, Sanjeet Lal, Soumik Sensarma, Srijoyee Saha, Giridhar Maji, Sunirmal Khatua, Rajib K. Das:
An Online Algorithm for Cost Minimization of Amazon EC2 Burstable Resources. 117-132 - Gaurav Pareek, B. R. Purushothama:
A Practical and Efficient Key-Aggregate Cryptosystem for Dynamic Access Control in Cloud Storage. 133-148
Intelligent Technology
- Prasoon Singh, Lalatendu Behera:
Prediction of Failure in Scania Truck Due to Air Pressure System Failure. 151-166 - Gadde Ashok, Kommula Serath, T. Gireesh Kumar:
A Multi-class Classification for Detection of IoT Network Attacks Using Machine Learning Models. 167-178 - Gadde Ashok, N. Ruthvik, G. Jeyakumar:
Optimizing Sentiment Analysis on Twitter: Leveraging Hybrid Deep Learning Models for Enhanced Efficiency. 179-192 - Harshitha Bingi, T. Sobha Rani:
Identification of Onset and Progression of Alzheimer's Disease Using Topological Data Analysis. 193-205 - Sumit Kumar Sah, Hategekimana Fidele:
Enhancing Mario Gaming Using Optimized Reinforcement Learning. 206-221 - Kushagra Agrawal, Nisharg Nargund:
Deep Learning in Industry 4.0: Transforming Manufacturing Through Data-Driven Innovation. 222-236 - Balaji T. K., Annushree Bablani, Sreeja SR, Hemant Misra:
SASE: Sentiment Analysis with Aspect Specific Evaluation Using Deep Learning with Hybrid Contextual Embedding. 237-248 - Vivek Kumar Rajak, Anjeneya Swami Kare:
A Genetic Algorithm-Based Heuristic for Rumour Minimization in Social Networks. 249-265 - Aditya Roy Chowdhury, Rohit Ahuja, Angad Manroy:
A Machine Learning Driven Approach for Forecasting Parkinson's Disease Progression Using Temporal Data. 266-281 - B. Sudhakara, Shrutilipi Bhattacharjee:
Prediction of High-Resolution Soil Moisture Using Multi-source Data and Machine Learning. 282-292 - Parag Bhuyan, Pranav Kumar Singh:
Evaluating Deep CNNs and Vision Transformers for Plant Leaf Disease Classification. 293-306 - Rajendra Kumar Roul, Navpreet, Jajati Keshari Sahoo:
Intelligent Ensemble-Based Road Crack Detection: A Holistic View. 307-323 - Samiksha Dattaprasad Tawde, Sandhya Arora, Yashasvee Shitalkumar Thakur:
Online Payment Fraud Detection for Big Data. 324-337 - Anuradha Goswami, Ajey Kumar, Dhanya Pramod:
Bursty Event Detection Model for Twitter. 338-355 - Kasi Viswanath Dasari, Alok Singh, Rammohan Mallipeddi:
A General Variable Neighborhood Search Approach for the Clustered Traveling Salesman Problem with d-Relaxed Priority Rule. 356-370
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