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Submissions from 2024

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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

Submissions from 2023

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Geo-distributed Multi-tier Workload Migration Over Multi-timescale Electricity Markets, Sourav Kanti Addya, Anurag Satpathy, Bishakh Chandra Ghosh, Sandip Chakraborty, Soumya K. Ghosh, and Sajal K. Das

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HatEmoTweet: Low-level Emotion Classifications And Spatiotemporal Trends Of Hate And Offensive COVID-19 Tweets, Ademola Adesokan, Sanjay Kumar Madria, and Long Nguyen

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Dispatching Point Selection For A Drone-based Delivery System Operating In A Mixed Euclidean–Manhattan Grid, Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Cristina M. Pinotti, and Anil Shende

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Building a Unified Data Falsification Threat Landscape for Internet of Things/Cyberphysical Systems Applications, Shameek Bhattacharjee and Sajal K. Das

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Information Integrity In Participatory Crowd-Sensing Via Robust Trust Models, Shameek Bhattacharjee and Sajal K. Das

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Unifying Threats Against Information Integrity In Participatory Crowd Sensing, Shameek Bhattacharjee and Sajal K. Das

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Real-Time Human-Computer Interaction using Eye Gazes, Haodong Chen, Niloofar Zendehdel, Ming-Chuan Leu, and Zhaozheng Yin

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Catching Elusive Depression Via Facial Micro-Expression Recognition, Xiaohui Chen and Tony Tie (T.) Luo

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LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing, Ronit Das and Tie (Tony) T. Luo

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Sigmoid Activation-Based Long Short-Term Memory for Time Series Data Classification, Sajal Das

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Welcome From General Chairs, Sajal K. Das and Wen Zhan Song

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BITS 2023 Welcome Message From General Chairs And TPC Chairs, Sajal K. Das, Keiichi Yasumoto, Hayato Yamana, and Shameek Bhattacharjee

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Detecting Mental Distresses Using Social Behavior Analysis In The Context Of COVID-19: A Survey, Sahraoui Dhelim, Liming Chen, Sajal K. Das, Huansheng Ning, Chris Nugent, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White, and Devin Michael Burns

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Optimizing Federated Learning In LEO Satellite Constellations Via Intra-Plane Model Propagation And Sink Satellite Scheduling, Mohamed Elmahallawy and Tie (Tony) T. Luo

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One-Shot Federated Learning For LEO Constellations That Reduces Convergence Time From Days To 90 Minutes, Mohamed Elmahallawy and Tie (Tony) Tie Luo

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Continual Reinforcement Learning Formulation For Zero-Sum Game-Based Constrained Optimal Tracking, Behzad Farzanegan and Sarangapani Jagannathan

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Continual Learning-Based Optimal Output Tracking of Nonlinear Discrete-Time Systems with Constraints: Application to Safe Cargo Transfer, Behzad Farzanegan and S. (Sarangapani) Jagannathan

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Optimal Tracking Of Nonlinear Discrete-time Systems Using Zero-Sum Game Formulation And Hybrid Learning, Behzad Farzanegan and S. (Sarangapani) Jagannathan

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Lifelong Learning-Based Multilayer Neural Network Control of Nonlinear Continuous-Time Strict-Feedback Systems, Irfan Ahmad Ganie and S. (Sarangapani) Jagannathan

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Continual Optimal Adaptive Tracking Of Uncertain Nonlinear Continuous-time Systems Using Multilayer Neural Networks, Irfan Ganie and S. (Sarangapani) Jagannathan

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Lifelong Learning Control of Nonlinear Systems with Constraints using Multilayer Neural Networks with Application to Mobile Robot Tracking, Irfan Ganie and S. (Sarangapani) Jagannathan

A Dtn-Based Spatio-Temporal Routing using Location Prediction Model in Underground Mines, Abhay Goyal, Sanjay Kumar Madria, and Samuel Frimpong

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A Dtn-Based Spatio-Temporal Routing using Location Prediction Model in Underground Mines, Abhay Goyal, Sanjay Kumar Madria, and Samuel Frimpong

A Dtn-Based Spatio-Temporal Routing using Location Prediction Model in Underground Mines, Abhay Goyal, Sanjay Kumar Madria, and Samuel Frimpong

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Demo-Abstract: A DTN System For Tracking Miners Using GAE-LSTM And Contact Graph Routing In An Underground Mine, Abhay Goyal, Sanjay Kumar Madria, and Samuel Frimpong

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FedAR+: A Federated Learning Approach To Appliance Recognition With Mislabeled Data In Residential Environments, Ashish Gupta, Hari Prabhat Gupta, and Sajal K. Das

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Is Performance Fairness Achievable In Presence Of Attackers Under Federated Learning?, Ashish Gupta, George Markowsky, and Sajal K. Das

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QC-SANE: Robust Control in DRL using Quantile Critic with Spiking Actor and Normalized Ensemble, Surbhi Gupta, Gaurav Singal, Deepak Garg, and Sarangapani Jagannathan

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SmartLens: Robust Detection Of Rogue Device Via Frequency Domain Features In LoRa-Enabled IIoT, Subir Halder, Amrita Ghosal, Thomas Newe, and Sajal K. Das

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Message From The IEEE MDM 2023 Test-of-Time Committee, Christian S. Jensen, Sanjay Kumar Madria, and Timos Sellis

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A Parallel Framework for Efficiently Updating Graph Properties in Large Dynamic Networks, Arindam Khanda and Sajal K. Das

A Parallel Framework for Efficiently Updating Graph Properties in Large Dynamic Networks, Arindam Khanda and Sajal K. Das

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A Parallel Framework for Efficiently Updating Graph Properties in Large Dynamic Networks, Arindam Khanda and Sajal K. Das

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A Parallel Algorithm For Updating A Multi-objective Shortest Path In Large Dynamic Networks, Arindam Khanda, S. M. Shovan, and Sajal K. Das

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Rate-Monotonic Scheduler For LoRa-Based Smart Space Monitoring System, Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, and Rahul Bansal

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Disagreement Matters: Exploring Internal Diversification For Redundant Attention In Generic Facial Action Analysis, Xiaotian Li, Zheng Zhang, Xiang Zhang, Taoyue Wang, Zhihua Li, Huiyuan Yang, Umur Ciftci, Qiang Ji, Jeffrey Cohn, and Lijun Yin

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Q-Learning for Sum-Throughput Optimization in Wireless Visible-Light UAV Networks, Yuwei Long and Nan Cen

Sptframe: A Framework for Spatio-Temporal Information Aware Message Dissemination in Software Defined Vehicular Networks, Ankur Nahar, Debasis Das, and Sajal K. Das

Sptframe: A Framework for Spatio-Temporal Information Aware Message Dissemination in Software Defined Vehicular Networks, Ankur Nahar, Debasis Das, and Sajal K. Das

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Sptframe: A Framework for Spatio-Temporal Information Aware Message Dissemination in Software Defined Vehicular Networks, Ankur Nahar, Debasis Das, and Sajal K. Das

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Detection Of False Data Injection In Smart Water Metering Infrastructure, Ayanfeoluwa Oluyomi, Shameek Bhattacharjee, and Sajal K. Das

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LASA: Location-Aware Scheduling Algorithm In Industrial IoT Networks With Mobile Nodes, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, and Giuseppe Anastasi

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Environmentally-Aware and Energy-Efficient Multi-Drone Coordination and Networking for Disaster Response, Chengyi Qu, Francesco Betti Sorbelli, Rounak Singh, Prasad Calyam, and Sajal K. Das

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Robust Federated Learning Against Backdoor Attackers, Priyesh Ranjan, Ashish Gupta, Federico Corò, and Sajal K. Das

$\log$-Sigmoid Activation-Based Long Short-Term Memory for Time Series Data Classification, Priyesh Ranjan, Pritam Khan, Sudhir Kumar, and Sajal K. Das

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Improved Intelligent Ledger Construction For Realistic IoT Blockchain Networks, Charles Rawlins and S. (Sarangapani) Jagannathan

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Towards Robust Consensus For Intelligent Decision-making In IoT Blockchain Networks, Charles Rawlins and S. (Sarangapani) Jagannathan

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Strategic Information Design In Selfish Routing With Quantum Response Travelers, Sainath Sanga, Venkata Sriram Siddhardh Nadendla, Mukund Telukunta, and Sajal K. Das

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TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks, Shyam Sundar Saravanan, Tie (Tony) T. Luo, and Mao Van Ngo

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Cyber-Agricultural Systems for Crop Breeding and Sustainable Production, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Fateme Fotouhi, Soumyashree Kar, Koushik Nagasubramanian, Girish Chowdhary, Sajal K. Das, George Kantor, Adarsh Krishnamurthy, Nirav Merchant, and Asheesh K. Singh

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Urban Air Mobility: Vision, Challenges And Opportunities, Debjyoti Sengupta and Sajal K. Das

Scalable Skill-Oriented Task Allocation in Crowdsourcing within a Serverless Ecosystem, Biswajeet Sethi, Riya Samanta, Soumya K. Ghosh, and Sajal K. Das

Scalable Skill-Oriented Task Allocation in Crowdsourcing within a Serverless Ecosystem, Biswajeet Sethi, Riya Samanta, Soumya K. Ghosh, and Sajal K. Das

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Scalable Skill-Oriented Task Allocation in Crowdsourcing within a Serverless Ecosystem, Biswajeet Sethi, Riya Samanta, Soumya K. Ghosh, and Sajal K. Das

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Dynamic Mode Decomposition Type Algorithms for Modeling and Predicting Queue Lengths at Signalized Intersections with Short Lookback, Kazi Redwan Shabab, Shakib Mustavee, Shaurya Agarwal, Mohamed H. Zaki, and Sajal K. Das

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Deep Meta Q-Learning based Multi-Task Offloading in Edge-Cloud Systems, Nelson Sharma, Aswini Ghosh, Rajiv Misra, and Sajal K. Das

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RaFID: A Lightweight Approach To Radio Frequency Interference Detection In Time Domain Using LSTM And Statistical Analysis, Luke A. Smith, Vishesh Kumar Tanwar, Maciej Jan Zawodniok, and Sanjay Kumar Madria

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A Distributed Algorithm For Identifying Strongly Connected Components On Incremental Graphs, S. Srinivasan, A. Khanda, S. Srinivasan, A. Pandey, S. (Sajal) K. Das, S. Bhowmick, and B. Norris

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YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention, Raja Sunkara and Tie (Tony) (Tie) Luo

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No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects, Raja Sunkara and Tony Tie Luo

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Preserving Privacy In Image Database Through Bit-planes Obfuscation, Vishesh K. Tanwar, Ashish Gupta, Sanjay Kumar Madria, and Sajal K. Das

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HPRoP: Hierarchical Privacy-preserving Route Planning For Smart Cities, Francis Tiausas, Keiichi Yasumoto, Jose Paolo Talusan, Hayato Yamana, Hirozumi Yamaguchi, Shameek Bhattacharjee, Abhishek Dubey, and Sajal K. Das

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Blockchain-Enabled Authenticated Key Agreement Scheme for Mobile Vehicles-Assisted Precision Agricultural IoT Networks, Anusha Vangala, Ashok Kumar Das, Ankush Mitra, Sajal K. Das, and Youngho Park

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Nonmonotonic Effect Of Chemical Heterogeneity On Interfacial Crack Growth At High-angle Grain Boundaries In Fe-Ni-Cr Alloys, Yuchu Wang, Bita Ghaffari, Christopher Taylor, Simon Lekakh, Carlos Engler-Pinto, Larry Godlewski, Yang Huo, Mei Li, and Yue Fan

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Reward Maximization For Disaster Zone Monitoring With Heterogeneous UAVs, Wenzheng Xu, Chengxi Wang, Hongbin Xie, Weifa Liang, Haipeng Dai, Zichuan Xu, Ziming Wang, Bing Guo, and Sajal K. Das

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Libra: Harvesting Idle Resources Safely And Timely In Serverless Clusters, Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, and Seung Jong Park

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Programmable Software-Defined Testbed for Visible Light UAV Networks: Architecture Design and Implementation, Yue Zhang and Nan Cen

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Affine Image Registration Of Arterial Spin Labeling MRI Using Deep Learning Networks, Zongpai Zhang, Huiyuan Yang, Yanchen Guo, Nicolas R. Bolo, Matcheri Keshavan, Eve DeRosa, Adam K. Anderson, David C. Alsop, Lijun Yin, and Weiying Dai

Submissions from 2022

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Optimization of Flotation Efficiency of Phosphate Minerals in Mine Tailings using Polymeric Depressants: Experiments and Machine Learning, Ashraf Alsafasfeh, Lana Z. Alagha, Ala Alzidaneen, and Venkata Sriram Siddhardh Nadendla

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An Adjacency Labeling Scheme based on a Decomposition of Trees into Caterpillars, Avah Banerjee

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An Adjacency Labeling Scheme based on a Decomposition of Trees into Caterpillars, Avah Banerjee

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Locality-Aware Qubit Routing for the Grid Architecture, Avah Banerjee, Xin Liang, and R. Tohid

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Locality-Aware Qubit Routing for the Grid Architecture, Avah Banerjee, Xin Liang, and R. Tohid

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Distributed Matrix Tiling using a Hypergraph Labeling Formulation, Avah Banerjee, Maxwell Reeser, and Guoli Ding

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Distributed Matrix Tiling using a Hypergraph Labeling Formulation, Avah Banerjee, Maxwell Reeser, and Guoli Ding

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Greedy Algorithms for Scheduling Package Delivery with Multiple Drones, Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Lorenzo Palazzetti, and Cristina M. Pinotti

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Greedy Algorithms for Scheduling Package Delivery with Multiple Drones, Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Lorenzo Palazzetti, and Cristina M. Pinotti

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Rssafe: Personalized Driver Behavior Prediction for Safe Driving, Bhumika, Debasis Das, and Sajal K. Das

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Targeted Content-Sharing in a Multi-Group Dtn Application using Attribute-Based Encryption, Xiaofei Cao, Shudip Datta, Ram Charan Bolla, and Sanjay Kumar Madria

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Efficient Data Collection in IoT Networks using Trajectory Encoded with Geometric Shapes, Xiaofei Cao and Sanjay Kumar Madria

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HVAC Power Conservation through Reverse Auctions and Machine Learning, Enrico Casella, Atieh R. Khamesi, Simone Silvestri, Denise A. Baker, and Sajal K. Das

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Compressed Sensing based Low-Power Multi-View Video Coding and Transmission in Wireless Multi-Path Multi-Hop Networks, Nan Cen, Zhangyu Guan, and Tommaso Melodia

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Distributed Decision Making for V2v Charge Sharing in Intelligent Transportation Systems, Punyasha Chatterjee, Pratham Majumder, Arpita Debnath, and Sajal K. Das

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Real-Time Multi-Modal Human-Robot Collaboration using Gestures and Speech, Haodong Chen, Ming-Chuan Leu, and Zhaozheng Yin

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Distributed Intelligence over Internet of Things, Honglong Chen, Joel Jose Rodrigues, Feng Xia, and Sajal K. Das

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Guest Editorial: Special Section on Distributed Intelligence over Internet of Things, Honglong Chen, Joel Rodrigues, Feng Xia, and Sajal K. Das

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A Fog-Assisted System to Defend Against Sybils in Vehicular Crowdsourcing, Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re, and Sajal K. Das

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A Fog-Assisted System to Defend Against Sybils in Vehicular Crowdsourcing, Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re, and Sajal K. Das

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SpADe: Multi-Stage Spam Account Detection for Online Social Networks, Federico Concone, Giuseppe Lo Re, Marco Morana, and Sajal K. Das

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SpADe: Multi-Stage Spam Account Detection for Online Social Networks, Federico Concone, Giuseppe Lo Re, Marco Morana, and Sajal K. Das

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On the Range Assignment in Wireless Sensor Networks for Minimizing the Coverage-Connectivity Cost, Sajal K. Das and Rafal Kapelko

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Message from the BITS 2022 Workshop Co-Chairs, Sajal K. Das, Hayato Yamana, Keiichi Yasumoto, and Shameek Bhattacharjee

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Message from the BITS 2022 Workshop Co-Chairs, Sajal K. Das, Hayato Yamana, Keiichi Yasumoto, and Shameek Bhattacharjee

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Prioritized Content Determination and Dissemination using Reinforcement Learning in DTNs, Shudip Datta and Sanjay K. Madria

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A Novel Echo State Network Autoencoder for Anomaly Detection in Industrial Iot Systems, Fabrizio De Vita, Giorgio Nocera, Dario Bruneo, and Sajal K. Das

Preface, Pavel Gladyshev, Sanjay Goel, Joshua James, George Markowsky, and Daryl Johnson

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Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression, Qian Gong; Xin Liang; Ben Whitney; Jong Youl Choi; and For full list of authors, see publisher's website.

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Region-Adaptive, Error-Controlled Scientific Data Compression using Multilevel Decomposition, Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, and Scott Klasky

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Long-Short History Of Gradients is All You Need: Detecting Malicious And Unreliable Clients In Federated Learning, Ashish Gupta, Tony T. Luo, Mao V. Ngo, and Sajal K. Das