| 2024 | Quantum-Enhanced Resilient Reinforcement Learning Using Causal Inference. | Namasi G. Sankar, Ankit Khandelwal, M. Girish Chandra |
| 2024 | NUMA-Aware Parallelized Service Function Chain Deployment in Multi-Core Servers. | Shaik Sameer, Venkatarami Reddy Chintapalli |
| 2024 | Road Traffic Analysis Using 2D LIDAR. | Rajana Revanth Sai, Arun K. Tangirala, Lelitha Vanajakshi |
| 2024 | CloudAdvisor for Sustainable and Data Residency Compliant Data Placement in Multi-Cloud. | Pankaj Sahu, Shubhro Roy, Mangesh S. Gharote |
| 2024 | CM-GCN: Crossbred Method based-Graph Convolution Networks for identifying influential spreaders from directed networks. | Nilanjana Saha, Amrita Namtirtha, Animesh Dutta |
| 2024 | A Time-Variant Graph Network Model for Societal Dynamics. | Srestha Sadhu, Anju Bhuiya, Deepanwita Mallick, Animesh Dutta |
| 2024 | Resource-Efficient Quantum Circuits for Molecular Simulations: A Case Study of Umbrella Inversion in Ammonia. | Nirmal M. R, Sharma S. R. K. C. Yamijala, Kalpak Ghosh, Sumit Kumar, Manoj Nambiar |
| 2024 | A Decision Framework for Carbon-aware Storage Service Selection in Multi-Cloud Environment. | Shubhro Roy, Pankaj Sahu, Mangesh S. Gharote |
| 2024 | 'Complementarity, in Paraxial and Non-Paraxial Optical Beams. | Abhinash Kumar Roy, Nitish Kumar Chandra, Soumik Mahanti, Prasanta K. Panigrahi |
| 2024 | Unlocking Telecom Domain Knowledge Using LLMs. | Sujoy Roychowdhury, Nishkarsh Jain, Sumit Soman |
| 2024 | Probe-Based Study of Traffic Variability for the Design of Traffic Light Plans. | Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Omer Litov, Nitzan Tur, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim |
| 2024 | A Dual-Stream Convolution-GRU-Attention Network for Automatic Modulation Classification. | Shah Riddhi, Ashok Parmar, Kamal M. Captain, Divya K. A, Ankit Chouhan, Jignesh R. Patel |
| 2024 | Deep Learning-Based Passenger Counting System Using Surveillance Cameras. | Nishtha Rawat, Arnav Rai, Amit Agarwal |
| 2024 | Quantum Autoencoders for Learning Quantum Channel Codes. | Lakshika Rathi, Stephen DiAdamo, Alireza Shabani |
| 2024 | Distributed Learning in Trust-Mistrust Networks. | P. Raghavendra Rao, Pooja Vyavahare |
| 2024 | On Running Disabled Networking Features: A Taxonomy with Security Implications. | DTV Ramakrishna Rao, Manjul Khandelwal |
| 2024 | A Note on Reducing Computations in CNNs. | Pallavi Ramicetty, Ritesh Dhananjay Nikose, Shravan Mohan, Milind Savagaonkar, Shubhashis Sengupta |
| 2024 | Control-Plane Observability Through Data-Plane Performance. | Gomathi Ramachandran |
| 2024 | Outlier Treatment and Adaptive Signal Conditioning of Wheel Speed Measurement for Antilock Brake System. | R. Rajesh, Pavel Vijay Gaurkar, Gunasekaran Vivekanandan, Sriram Sivaram, Shankar C. Subramanian |
| 2024 | Reinforcement Learning-based Performance-aware Energy Management in 5G Base Stations. | Akhilesh Raj, Robert E. Canady, Sanjana Das, Aniruddha Gokhale, Swann Perarnau |
| 2024 | Machine Learning-Based Time-Series Analysis of Environmental Parameters for Predicting Occupancy Patterns. | Monika Rajan, Seshan Srirangarajan |
| 2024 | Blockchain Democracy: A Case for Constituency-Centric E-Voting on Private Ethereum Networks. | Shraddha Vasant Prasad |
| 2024 | Convergence Analysis of Opto-Electronic Oscillator Based Coherent Ising Machines. | Sayantan Pramanik, Sourav Chatterjee, Harshkumar Oza |
| 2024 | Generation of Believable Fake Logic Circuits for Cyber Deception. | Nilin Prabhaker, Ghanshyam S. Bopche, Abhijit Mishra, Michael Arock |
| 2024 | $l$-Detect: Life Detection Under Debris in Disaster Zones. | Lakshmi Poola, Luis Henrik John, Shrutkirthi S. Godkhindi, Preetham Reddy, Deeksha P. Rao, T. V. Prabhakar, R. Venkatesha Prasad |