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Submissions from 2025

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DisFact: Fact-Checking Disaster Claims, Ademola Adesokan, Haiwei Hu, and Sanjay Kumar Madria

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DisTGranD: Granular Event/sub-event Classification For Disaster Response, Ademola Adesokan, Sanjay Madria, and Long Nguyen

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FReCS: A First Responder Classification System, Ademola Adesokan, Sanjay Madria, and Long Nguyen

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V2VDisCS: Vehicle to Vehicle Distributed Charge Sharing in Intelligent Transportation Systems, Punyasha Chatterjee, Pratham Majumder, and Sajal K. Das

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Collision-free Exploration by Mobile Agents Using Pebbles, Sajal K. Das, Amit Kumar Dhar, Barun Gorain, and Madhuri Mahawar

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SMEVCA: Stable Matching-based EV Charging Assignment in Subscription-Based Models, Arindam Khanda, Anurag Satpathy, Anusha Vangala, and Sajal K. Das

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Social Bot Detection using Variational Generative Adversarial Networks with Hidden Markov Models in Twitter Network, Greeshma Lingam and Sajal K. Das

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Analytical Dispatch Strategies for Pumped Storage Hydro: A Conditional Dynamic Programming Approach to Discontinuous Multi-period Optimization Problems, Jian Liu, Jianwen Zhang, Zaiwu Gong, Donald C. Wunsch, and Rui Bo

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Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware, Nathan A. Lutes, V. Sriram Siddhardth Nedendla, and K. Krishnamurthy

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SIFT Feature-Based Relative Altitude Estimation Enhanced with Siamese Network, Shirin Nasr-Esfahani and S. Jagannathan

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On Countering Ransomware Attacks Using Strategic Deception, Roshan Lal Neupane, Bishnu Bhusal, Kiran Neupane, Preyea Regmi, Tam Dinh, Lilliana Marrero, Sayed M. Sayed, Venkata Sriram Siddhardh Nadendla, and Prasad Calyam

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J-NECORA: A Framework for Optimal Resource Allocation in Cloud-Edge-Things Continuum for Industrial Applications with Mobile Nodes, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, and Giuseppe Anastasi

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Robust Federated Learning Against Targeted Attackers using Model Updates Correlation, Priyesh Ranjan, Ashish Gupta, and Sajal K. Das

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Enhancing Crowdsourcing Through Skill and Willingness-aligned Task Assignment with Workforce Composition Balance, Riya Samanta, Soumya K. Ghosh, and Sajal K. Das

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Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks, S. M. Shovan, Arindam Khanda, and Sajal K. Das

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Towards Inclusive Fairness Evaluation Via Eliciting Disagreement Feedback From Non-expert Stakeholders, Mukund Telukunta and Venkata Sriram Siddhardh Nadendla

Submissions from 2024

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Curd: Context-Aware Relevance and Urgency Determination, Ademola Adesokan and Sanjay Kumar Madria

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BLIND: A Privacy Preserving Truth Discovery System For Mobile Crowdsensing, Vincenzo Agate, Pierluca Ferraro, Giuseppe Lo Re, and Sajal K. Das

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Secure Location-Based Authenticated Key Establishment Scheme for Maritime Communication, Saurabh Agrawal, Anusha Vangala, Ashok Kumar Das, Neeraj Kumar, Sachin Shetty, and Sajal K. Das

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MOVE: Matching Game for Partial Offloading in Vehicular Edge Computing, Mahmuda Akter, Debjyoti Sengupta, Anurag Satpathy, and Sajal Das

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Mime: Mobility-Induced Dynamic Matching for Partial Offloading in Vehicular Edge Computing, Mahmuda Akter, Debjyoti Sengupta, Anurag Satpathy, and Sajal K. Das

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Role Of IoT Technologies In Big Data Management Systems: A Review And Smart Grid Case Study, A. R. Al-Ali, Ragini Gupta, Imran Zualkernan, and Sajal K. Das

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Trec Ikat 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants, Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffrey Dalton, and Leif Azzopardi

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Disseminating over-the-Air Updates Via Intelligent Labeling in Multi-tier Networks, Atefeh Asayesh, Asad Waqar Malik, and Sajal K. Das

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Tackling Selfish Clients in Federated Learning, Andrea Augello, Ashish Gupta, Giuseppe Lo Re, and Sajal K. Das

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Cfirm: An Integrated Code Package for the Low-Temperature Plasma Simulation on Structured Grids, Jinwei Bai, Hongtao Liu, Xiaoming He, Wei Jiang, and Yong Cao

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Drone-Based Bug Detection in Orchards with Nets: A Novel Orienteering Approach, Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, Lorenzo Palazzetti, and Cristina M. Pinotti

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TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion, Doris E.M. Brown, Venkata Sriram Siddhardh Nadendla, and Sajal K. Das

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Extending Segment Tree for Polygon Clipping and Parallelizing using OpenMP and OpenACC Compiler Directives, M. K. Buddhi Ashan, Satish Puri, and Sushil K. Prasad

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Prediction of Carbonation Capacity of SCMs using Ensemble Learning Method, Kangyi Cai, Jian Liu, Edward Mwanza, Mahelet G. Fikru, Hongyan Ma, and Donald C. Wunsch

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A Human-Centered Power Conservation Framework based on Reverse Auction Theory and Machine Learning, Enrico Casella, Simone Silvestri, Denise A. Baker, and Sajal K. Das

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Log Sequence Anomaly Detection based on Template and Parameter Parsing Via BERT, Xiaolin Chai, Hang Zhang, Jue Zhang, Yan Sun, and Sajal K. Das

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Adversarial-Robust Transfer Learning for Medical Imaging Via Domain Assimilation, Xiaohui Chen and Tony Tie Luo

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Message from the Phd Dissertation Showcase Chairs, Panos K. Chrysanthis and Sanjay Madria

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Early Detection of Driving Maneuvers for Proactive Congestion Prevention, Debasree Das, Shameek Bhattacharjee, Sandip Chakraborty, Bivas Mitra, and Sajal K. Das

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On the K-Weak Coverage of Random Mobile Sensors, Sajal K. Das and Rafal Kapelko

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Message from BITS 2024 Co-Chairs and Technical Program Co-Chairs; Smartcomp 2024, Sajal K. Das, Hayato Yamana, Keiichi Yasumoto, and Shameek Bhattacharjee

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Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked Github Issue Threads, Ramtin Ehsani, Mia Mohammad Imran, Robert Zita, Kostadin Damevski, and Preetha Chatterjee

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Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning, Mohamed Elmahallawy and Tony Tie Luo

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Communication-Efficient Federated Learning For LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM, Mohamed Elmahallawy, Tony T. Luo, and Khaled Ramadan

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Relative Altitude Estimation of Infrared Thermal UAV Images using SIFT Features, Shirin Nasr Esfahani and Jagannathan Sarangapani

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Lifelong Safe Optimal Adaptive Tracking Control of Nonlinear Strict-Feedback Discrete-Time Systems, Behzad Farzanegan and S. Jagannathan

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Reinforcement Learning-Based Constrained Optimal Control of Strict-Feedback Nonlinear Systems: Application to Autonomous Underwater Vehicles, Behzad Farzanegan and S. Jagannathan

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Adaptive Fault Estimation and Accommodation for Distributed Parameter Systems with Coupled Parabolic Partial Differential Equations, Farzin Ferdowsi, Jia Cai, and Sarangapani Jagannathan

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Adaptive Resilient Control For A Class Of Nonlinear Distributed Parameter Systems With Actuator Faults, Hasan Ferdowsi, Jia Cai, and Sarangapani Jagannathan

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Persistent Monitoring of Insect-Pests on Sticky Traps through Hierarchical Transfer Learning and Slicing-Aided Hyper Inference, Fateme Fotouhi, Kevin Menke, Aaron Prestholt, Ashish Gupta, Matthew E. Carroll, Hsin Jung Yang, Edwin J. Skidmore, Matthew O'Neal, Nirav Merchant, Sajal K. Das, Peter Kyveryga, Baskar Ganapathysubramanian, Asheesh K. Singh, Arti Singh, and Soumik Sarkar

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Online Continual Safe Reinforcement Learning-Based Optimal Control of Mobile Robot Formations, Irfan Ganie and S. Jagannathan

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Optimal Trajectory Tracking of Uncertain Nonlinear Continuous-Time Strict-Feedback Systems with Dynamic Constraints, Irfan Ganie and S. Jagannathan

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Continual Online Learning-Based Optimal Tracking Control Of Nonlinear Strict-Feedback Systems: Application To Unmanned Aerial Vehicles, Irfan Ganie and Sarangapani Jagannathan

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Lifelong Learning-Based Optimal Trajectory Tracking Control of Constrained Nonlinear Affine Systems using Deep Neural Networks, Irfan Ganie and Sarangapani Jagannathan

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Optimal Trajectory Tracking for Uncertain Linear Discrete-time Systems using Time-varying Q-learning, Maxwell Geiger, Vignesh Narayanan, and Sarangapani Jagannathan

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Mobilytics: Mobility Analytics Framework for Transferring Semantic Knowledge, Shreya Ghosh, Soumya K. Ghosh, Sajal K. Das, and Prasenjit Mitra

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Minerrouter : Effective Message Routing using Contact-Graphs and Location Prediction in Underground Mine, Abhay Goyal, Sanjay Madria, and Samuel Frimpong

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Analyzing Real-Time Insect Detection in Smart Connected Farms, Ashish Gupta, Vishesh Kumar Tanwar, Amit Nath Jha, and Sajal K. Das

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L3DML: Facilitating Geo-Distributed Machine Learning in Network Layer, Xindi Hou, Shuai Gao, Ningchun Liu, Fangtao Yao, Bo Lei, Hongke Zhang, and Sajal K. Das

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L3Geocast: Enabling P4-Based Customizable Network-Layer Geocast at the Network Edge, Xindi Hou, Shuai Gao, Ningchun Liu, Fangtao Yao, Hongke Zhang, and Sajal K. Das

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Shedding Light on Software Engineering-Specific Metaphors and Idioms, Mia Mohammad Imran, Preetha Chatterjee, and Kostadin Damevski

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Uncovering the Causes of Emotions in Software Developer Communication using Zero-Shot Llms, Mia Mohammad Imran, Preetha Chatterjee, and Kostadin Damevski

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Scalable Pythagorean Mean-Based Incident Detection in Smart Transportation Systems, Md Jaminur Islam, Jose Paolo Talusan, Shameek Bhattacharjee, Francis Tiausas, Abhishek Dubey, Keiichi Yasumoto, and Sajal K. Das

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Reinforcement Learning based Proactive Entanglement Swapping for Quantum Networks, Tasdiqul Islam, Md Arifuzzaman, and Engin Arslan

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Doing Personal Laps: Llm-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search, Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. De Vries, Jeff Dalton, and Faegheh Hasibi

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Effective Data Sharing in an Edge-Cloud Model: Security Challenges and Solutions, Arijit Karati and Sajal K. Das

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Improved Algorithms for Co-Scheduling of Edge Analytics and Routes for Uav Fleet Missions, Aakash Khochare, Francesco Betti Sorbelli, Yogesh Simmhan, and Sajal K. Das

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Energy Consumption Optimization Of UAV-Assisted Traffic Monitoring Scheme With Tiny Reinforcement Learning, Xiangjie Kong, Chenhao Ni, Gaohui Duan, Guojiang Shen, Yao Yang, and Sajal K. Das

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Federated Graph Anomaly Detection Via Contrastive Self-Supervised Learning, Xiangjie Kong, Wenyi Zhang, Hui Wang, Mingliang Hou, Xin Chen, Xiaoran Yan, and Sajal K. Das

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Maximizing Network throughput in Heterogeneous UAV Networks, Shuyue Li, Jing Li, Chaocan Xiang, Wenzheng Xu, Jian Peng, Ziming Wang, Weifa Liang, Xinwei Yao, Xiaohua Jia, and Sajal K. Das

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Multi-parametric Analysis for Mixed Integer Linear Programming: An Application to Transmission Upgrade and Congestion Management, Jian Liu, Donald C. Wunsch, Siyuan Wang, and Rui Bo

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Convolutional spiking neural networks for intent detection based on anticipatory brain potentials using electroencephalogram, Nathan Lutes, V. Sriram Siddhardh Nadendla, and K. Krishnamurthy

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Trusted Digital Twin Network for Intelligent Vehicles, Asad Malik, Ayan Roy, and Sanjay Madria

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Meta-ICVI: Ensemble Validity Metrics For Concise Labeling Of Correct, Under- Or Over-Partitioning In Streaming Clustering, Niklas M. Melton, Sasha A. Petrenko, and Donald C. Wunsch

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Resource Aware Clustering For Tackling The Heterogeneity Of Participants In Federated Learning, Rahul Mishra, Hari Prabhat Gupta, Garvit Banga, and Sajal K. Das

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Real-Time Analysis of Encrypted DNS Traffic for Threat Detection, Marta Moure-Garrido, Sajal K. Das, Celeste Campo, and Carlos Garcia-Rubio

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Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision, Yasmine Mustafa and Tony Tie Luo

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A Hypergraph Approach to Deep Learning based Routing in Software-Defined Vehicular Networks, Ankur Nahar, Nishit Bhardwaj, Debasis Das, and Sajal K. Das

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Lifelong Direct Error-Driven Learning for UAV Altitude Estimation in Different Weather Conditions, Shirin Nasr-Esfahani and Jagannathan Sarangapani

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Unsafe Events Detection in Smart Water Meter Infrastructure Via Noise-Resilient Learning, Ayanfeoluwa Oluyomi, Sahar Abedzadeh, Shameek Bhattacharjee, and Sajal K. Das

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Achieving Efficient and Privacy-Preserving Reverse Skyline Query over Single Cloud, Yubo Peng, Xiong Li, Ke Gu, Jinjun Chen, Sajal K. Das, and Xiaosong Zhang

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Analyzing Biomedical Datasets With Symbolic Tree Adaptive Resonance Theory, Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight, and Donald C. Wunsch

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Mobility Management In TSCH-Based Industrial Wireless Networks, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, and Giuseppe Anastasi

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Deep Learning for UAV Detection and Classification Via Radio Frequency Signal Analysis, Prajoy Podder, MacIej Zawodniok, and Sanjay Madria

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Adaptive Critic Optimal Control of an Uncertain Robot Manipulator with Applications, Ravi Prakash, Laxmidhar Behera, and Sarangapani Jagannathan

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CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks, Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, and Samuel Frimpong

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A Reputation System for Provably-Robust Decision Making in IoT Blockchain Networks, Charles C. Rawlins, Sarangapani Jagannathan, and Venkata Sriram Siddhardh Nadendla

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Predicting IoT Distributed Ledger Fraud Transactions with a Lightweight GAN Network, Charles Rawlins and Jagannathan Sarangapani

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Survey of Hidden Markov Models (HMMs) for Sign Language Recognition (SLR), Iwan Sandjaja, Ahmad Alsharoa, Donald Wunsch, and Jian Liu

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Landmark-Based Localization using Stereo Vision and Deep Learning in Gps-Denied Battlefield Environment, Ganesh Sapkota and Sanjay Madria

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POSCA: Path Optimization for Solar Cover Amelioration in Urban Air Mobility, Debjyoti Sengupta, Anurag Satpathy, and Sajal K. Das

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Service Recommendation in Jointcloud Environments: An Efficient Regret Theory-Based Qos-Aware Approach, Jianzhi Shi, Rou Rao, Yang Song, Xingwei Wang, Bo Yi, Qiang He, Chao Zeng, Min Huang, and Sajal K. Das

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Smart Connected Farms and Networked Farmers to Improve Crop Production, Sustainability and Profitability, Asheesh K. Singh, Behzad J. Balabaygloo, Barituka Bekee, Samuel W. Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Amit Jha, Jorge C. Martinez-Palomares, Kevin Menke, Aaron Prestholt, Vishesh K. Tanwar, Xu Tao, Anusha Vangala, Matthew E. Carroll, Sajal K. Das, and Guilherme DePaula

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Splitfed-Based Patient Severity Prediction And Utility Maximization In Industrial Healthcare 4.0, Himanshu Singh, Biken Moirangthem, Ajay Pratap, Shilpi Kumari, Abhishek Kumar, and Sajal K. Das

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Optimizing UAV-Assisted Data Collection in IoT Sensor Networks using Dual Cluster Head Strategy, Keiwan Soltani, Federico Coro, and Sajal K. Das

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Personalized Federated Graph Learning On Non-IID Electronic Health Records, Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, and Sajal K. Das

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Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement, Mukund Telukunta, Sukruth Rao, Gabriella Stickney, Venkata Sriram Siddardh Nadendla, and Casey I. Canfield

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Undeniable Authentication of Digital Twin-managed Smart Microfactory, Anusha Vangala, Ashok Kumar Das, and Sajal K. Das

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LEASE: Leveraging Energy-Awareness in Serverless Edge for Latency-Sensitive IoT Services, Aastik Verma, Anurag Satpathy, Sajal K. Das, and Sourav Kanti Addya

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SmartGrid-NG: Blockchain Protocol For Secure Transaction Processing In Next Generation Smart Grid, Lokendra Vishwakarma, Debasis Das, Sajal K. Das, and Christian Becker

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Online Dynamic Path Planner for Uavs, Manisha Wadhwa, Neelima Gupta, and Sanjay Madria

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Learning from the Past: using Peer Data to Improve Course Recommendations in Personalized Education, Colton Walker, Sahra Sedigh Sarvestani, and Ali R. Hurson

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Approximation Algorithm and Applications for Connected Submodular Function Maximization Problems, Ziming Wang, Jing Li, He Xue, Wenzheng Xu, Weifa Liang, Zichuan Xu, Jian Peng, Pan Zhou, Xiaohua Jia, and Sajal K. Das

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CR-SAM: Curvature Regularized Sharpness-Aware Minimization, Tao Wu, Tony Tie Luo, and Donald C. Wunsch