Submissions from 2021
Detection and Forensics against Stealthy Data Falsification in Smart Metering Infrastructure, Shameek Bhattacharjee and Sajal K. Das
A Diversity Index based Scoring Framework for Identifying Smart Meters Launching Stealthy Data Falsification Attacks, Shameek Bhattacharjee, Praveen Madhavarapu, and Sajal K. Das
Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure, Shameek Bhattacharjee, Venkata Praveen Kumar Madhavarapu, Simone Silvestri, and Sajal K. Das
Modeling Efficient and Effective Communications in VANET through Population Protocols, Antonio Bordonaro, Federico Concone, Alessandra De Paola, Giuseppe Lo Re, and Sajal K. Das
Detecting Suspicious File Migration or Replication in the Cloud, Adam Bowers, Cong Liao, Douglas Steiert, Dan Lin, Anna Squicciarini, and A. R. Hurson
An Efficient Moving Object Tracking Framework for WSNs using Sequence-To-Sequence Learning Model, Xiaofei Cao and Sanjay K. Madria
Compressed Sensing based Low-Power Multi-View Video Coding and Transmitting in Wireless Multi-Path Multi-Hop Networks, Nan Cen, Zhangyu Guan, and Tommaso Melodia
NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data, Dakshak Keerthi Chandra, Jennifer Leopold, and Yanjie Fu
Template-Driven Rainbow Coloring of Proper Interval Graphs, L. Sunil Chandran, Sajal K. Das, Pavol Hell, Sajith Padinhatteeri, and Raji R. Pillai
Entity Retrieval using Fine-Grained Entity Aspects, Shubham Chatterjee and Laura Dietz
Accelerating Multigrid-Based Hierarchical Scientific Data Refactoring on GPUs, Jieyang Chen; Lipeng Wan; Xin Liang; Ben Whitney; and For full list of authors, see publisher's website.
Data Collection Utility Maximization in Wireless Sensor Networks via Efficient Determination of UAV Hovering Locations, Mengyu Chen, Weifa Liang, and Sajal K. Das
A Novel Recruitment Policy to Defend Against Sybils in Vehicular Crowdsourcing, Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re, and Sajal K. Das
Alz-Sense: A Novel Non-invasive Pre-clinical Testing to Differentiate Dementia from MCI, Debraj De, Devin Michael Burns, Mignon Makos, Bonnie Bachman, and Sajal K. Das
A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems, Fabrizio De Vita, Dario Bruneo, and Sajal K. Das
Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection, Fabrizio De Vita, Giorgio Nocera, Dario Bruneo, Valeria Tomaselli, Davide Giacalone, and Sajal K. Das
Detection of Gaussian Attacks in Power Systems under a Scalable Kalman Consensus Filter Framework, Arnold Fernandes, Rui Bo, Jonathan W. Kimball, and Bruce M. McMillin
Online Data Analysis and Reduction: An Important Co-Design Motif for Extreme-Scale Computers, Ian Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi; Sheng Di; Zichao Di; Ali M. Gok; Hanqi Guo; Xin Liang; and For full list of authors, see publisher's website.
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking, Hanqi Guo; David Lenz; Jiayi Xu; Xin Liang; Wenbin He; Iulian Grindeanu; and For full list of authors, see publisher's website.
A Holistic Approach to Power Efficiency in a Clock Offset based Intrusion Detection Systems for Controller Area Networks, Subir Halder, Mauro Conti, and Sajal K. Das
Netchain: A Blockchain-Enabled Privacy-Preserving Multi-Domain Network Slice Orchestration Architecture, Guobiao He, Wei Su, Shuai Gao, Ningchun Liu, and Sajal K. Das
DTC: A Dynamic Transaction Chopping Technique for Geo-Replicated Storage Services, Ning Huang, Lihui Wu, Weigang Wu, and Sajal K. Das
An Efficient Online Computation Offloading Approach for Large-Scale Mobile Edge Computing via Deep Reinforcement Learning, Zheyuan Hu, Jianwei Niu, Tao Ren, Bin Dai, Qingfeng Li, Mingliang Xu, and Sajal K. Das
Automatically Selecting Follow-Up Questions for Deficient Bug Reports, Mia Mohammad Imran, Agnieszka Ciborowska, and Kostadin Damevski
EMOCOV: Machine Learning for Emotion Detection, Analysis and Visualization using COVID-19 Tweets, Md Yasin Kabir and Sanjay K. Madria
COVID-19 Tweets Analysis for Human Emotion Detection, Md Yasin Kabir and Sanjay Kumar Madria
A Semi-Supervised Self-Training Method to Develop Assistive Intelligence for Segmenting Multiclass Bridge Elements from Inspection Videos, Muhammad Monjurul Karim, Ruwen Qin, Genda Chen, and Zhaozheng Yin
Efficient Route Selection for Drone-Based Delivery under Time-varying Dynamics, Arindam Khanda, Federico Coro, Francesco Betti Sorbelli, Cristina M. Pinotti, and Sajal K. Das
Heuristic algorithms for co-scheduling of edge analytics and routes for UAV fleet missions, Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli, and Sajal K. Das
FedVCP: A Federated-Learning-Based Cooperative Positioning Scheme for Social Internet of Vehicles, Xiangjie Kong, Haoran Gao, Guojiang Shen, Gaohui Duan, and Sajal K. Das
Mobile Edge Cooperation Optimization for Wearable Internet of Things: A Network Representation-Based Framework, Xiangjie Kong, Shiqin Tong, Haoran Gao, Guojiang Shen, Kailai Wang, Mario Collotta, Ilsun You, and Sajal K. Das
An Energy-Efficient Smart Space System using LoRa Network with Deadline and Security Constraints, Preti Kumari, Hari Prabhat Gupta, Rahul Mishra, and Sajal K. Das
An Energy Efficient Smart Metering System using Edge Computing in LoRa Network, Preti Kumari, Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta, and Sajal K. Das
Error-Controlled, Progressive, and Adaptable Retrieval of Scientific Data with Multilevel Decomposition, Xin Liang; Qian Gong; Jieyang Chen; Ben Whitney; and For full list of authors, see publisher's website.
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction, Xin Liang; Ben Whitney; Jieyang Chen; Lipeng Wan; Qing Liu; Dingwen Tao; and For full list of authors, see publisher's website.
MComIoV: Secure and Energy-Efficient Message Communication Protocols for Internet of Vehicles, Trupil Limbasiya, Debasis Das, and Sajal K. Das
Resilient Error-Bounded Lossy Compressor for Data Transfer, Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello
Exploring Autoencoder-Based Error-bounded Compression for Scientific Data, Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, and Franck Cappello
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques, Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, and Franck Cappello
Preface, Zhe Liu, Fan Wu, and Sajal K. Das
Your 'Attention' Deserves Attention: A Self-Diversified Multi-Channel Attention For Facial Action Analysis, Xiaotian Li, Zhihua Li, Huiyuan Yang, Geran Zhao, and Lijun Yin
Discriminative Pattern Mining for Runtime Security Enforcement of Cyber-Physical Point-Of-Care Medical Technology, Fred Love, Jennifer Leopold, Bruce M. McMillin, and Fei Su
Data-Free Evaluation of User Contributions in Federated Learning, Hongtao Lv, Zhenzhe Zheng, Tony Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, and Chengfei Lv
Optimal Confidence Sets for the Multinomial Parameter, Matthew L. Malloy, Ardhendu S. Tripathy, and Robert D. Nowak
Lanchester's Equations and Cyberwarfare, George Markowsky and Linda Markowsky
Lattice-Based Technique to Visualize and Compare Regional Terrorism using the Global Terrorism Database, Linda Markowsky and George Markowsky
Nearest Neighbor Search under Uncertainty, Blake Mason, Ardhendu Tripathy, and Robert Nowak
Nearest Neighbor Search under Uncertainty, Blake Mason, Ardhendu Tripathy, and Robert Nowak
A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty, V. Sriram Siddhardh Nadendla and Lav R. Varshney
Stable Matching based Resource Allocation for Service Provider's Revenue Maximization in 5G Networks, Ajay Pratap and Sajal K. Das
Maximizing Fairness for Resource Allocation in Heterogeneous 5G Networks, Ajay Pratap, Rajiv Misra, and Sajal K. Das
Visualization as a Service for Scientific Data, David Pugmire; James Kress; Jieyang Chen; Hank Childs; Jong Choi; Dmitry Ganyushin; Berk Geveci; Mark Kim; Scott Klasky; Xin Liang; and For full list of authors, see publisher's website.
BLAME: A Blockchain-Assisted Misbehavior Detection and Event Validation in VANETs, Ayan Roy and Sanjay Kumar Madria
Resilience Against Bad Mouthing Attacks in Mobile Crowdsensing Systems via Cyber Deception, Prithwiraj Roy, Shameek Bhattacharjee, Hussein Alsheakh, and Sajal K. Das
AgriSens: IoT-Based Dynamic Irrigation Scheduling System for Water Management of Irrigated Crops, Sanku Kumar Roy, Sudip Misra, Narendra Singh Raghuwanshi, and Sajal K. Das
BioMCS 2.0: A Distributed, Energy-Aware Fog-Based Framework for Data Forwarding in Mobile Crowdsensing, Satyaki Roy, Nirnay Ghosh, Preetam Ghosh, and Sajal K. Das
Influence Spread Control in Complex Networks via Removal of Feed Forward Loops, Satyaki Roy, Prithwiraj Roy, Venkata Sriram Siddhardh Nadendla, and Sajal K. Das
Influence Spread Control in Complex Networks via Removal of Feed Forward Loops, Satyaki Roy, Prithwiraj Roy, Venkata Sriram Siddhardh Nadendla, and Sajal K. Das
An Iterative Hybrid Algorithm for Roots of Non-Linear Equations, Chaman Lal Sabharwal
DLSense: Distributed Learning-Based Smart Virtual Sensing for Precision Agriculture, Rituparna Saha, Aishwariya Chakraborty, Sudip Misra, Sajal K. Das, and Chandranath Chatterjee
SWill-TAC: Skill-oriented Dynamic Task Allocation with Willingness for Complex Job in Crowdsourcing, Riya Samanta, Soumya K. Ghosh, and Sajal K. Das
Detection DNS Tunneling Botnets, Bohdan Savenko, Sergii Lysenko, Kira Bobrovnikova, Oleg Savenko, and George Markowsky
Precise Scheduling of Mixed-Criticality Tasks on Varying-Speed Multiprocessors, Tianning She, Sudharsan Vaidhun, Qijun Gu, Sajal Das, Zhishan Guo, and Kecheng Yang
Cooperative Truck-Drone Scheduling Approach for Last-Mile Deliveries (Extended Abstract), Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Lorenzo Palazzetti, and Cristina M. Pinotti
Energy-Constrained Delivery of Goods with Drones under Varying Wind Conditions, Francesco Betti Sorbelli, Federico Coro, Sajal K. Das, and Cristina M. Pinotti
Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics, Sujit Subhash, Tayo Obafemi-Ajayi, Dennis Goodman, Donald C. Wunsch, and Gayla R. Olbricht
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs, Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, and Franck Cappello
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures, Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, and Franck Cappello
User-Centric Distributed Route Planning in Smart Cities based on Multi-Objective Optimization, Francis Tiausas, Jose Paolo Talusan, Yu Ishimaki, Hayato Yamana, Hirozumi Yamaguchi, Shameek Bhattacharjee, Abhishek Dubey, Keiichi Yasumoto, and Sajal K. Das
Distributed Coestimation in Heterogeneous Sensor Networks, Dzung Tran, Tansel Yucelen, Sarangapani Jagannathan, and David Casbeer
Development of a HPLC-MS/MS Method for Assessment of Thiol Redox Status in Human Tear Fluids, Jiandong Wu, Austin Sigler, Annalise Pfaff, Nan Cen, Nuran Ercal, and Honglan Shi
Approximation Algorithms for the Generalized Team Orienteering Problem and its Applications, Wenzheng Xu, Weifa Liang, Zichuan Xu, Jian Peng, Dezhong Peng, Tang Liu, Xiaohua Jia, and Sajal K. Das
Minimizing the Deployment Cost of UAVs for Delay-Sensitive Data Collection in IoT Networks, Wenzheng Xu, Tao Xiao, Junqi Zhang, Weifa Liang, Zichuan Xu, Xuxun Liu, Xiaohua Jia, and Sajal K. Das
RE-Net: A Relation Embedded Deep Model For AU Occurrence And Intensity Estimation, Huiyuan Yang and Lijun Yin
Exploiting Semantic Embedding And Visual Feature For Facial Action Unit Detection, Huiyuan Yang, Lijun Yin, Yi Zhou, and Jiuxiang Gu
Generalising Combinatorial Discriminant Analysis through Conditioning Truncated Rayleigh Flow, Sijia Yang, Haoyi Xiong, Di Hu, Kaibo Xu, Licheng Wang, Peizhen Zhu, and Zeyi Sun
Improving Covariance-Regularized Discriminant Analysis for EHR-Based Predictive Analytics of Diseases, Sijia Yang, Haoyi Xiong, Kaibo Xu, Licheng Wang, Jiang Bian, and Zeyi Sun
Learning Adaptive Embedding Considering Incremental Class, Yang Yang, Zhen Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, and Jian Yang
A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence, Leonit Zeynalvand, Tony Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, and Jie Zhang
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks, Kai Zhao; Sheng Di; Sihuan Li; Xin Liang; and For full list of authors, see publisher's website.
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks, Kai Zhao; Sheng Di; Sihuan Li; Xin Liang; Yujia Zhai; Jieyang Chen; and For full list of authors, see publisher's website.
Multimodal Learning For Hateful Memes Detection, Yi Zhou, Zhenhao Chen, and Huiyuan Yang
Submissions from 2020
Introduction of a Hybrid Monitor for Cyber-Physical Systems, J. Ceasar Aguma, Bruce M. McMillin, and Amelia Regan
Fusing and Refining Convolutional Neural Network Models for Assembly Action Recognition in Smart Manufacturing, Md Al-Amin, Ruwen Qin, Wenjin Tao, David Doell, Ravon Lingard, Zhaozheng Yin, and Ming-Chuan Leu
Proof-Of-Activity Consensus Protocol based on a Network's Active Nodes, Roman Belfer, Antonina Kashtalian, Andrii Nicheporuk, George Markowsky, and Anatoliy Sachenko
An Integrated P2P Framework for E-Learning, Nikita Bhagatkar, Kapil Dolas, R. K. Ghosh, and Sajal K. Das
QnQ: Quality and Quantity based Unified Approach for Secure and Trustworthy Mobile Crowdsensing, Shameek Bhattacharjee, Nirnay Ghosh, Vijay K. Shah, and Sajal K. Das
Availability-Resilient Control of Uncertain Linear Stochastic Networked Control Systems, Chandreyee Bhowmick and S. Jagannathan
MP²SDA: Multi-Party Parallelized Sparse Discriminant Learning, Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo
Efficient Data Collection in IoT Networks using Trajectory Encoded with Geometric Shapes, Xiaofei Cao and Sanjay K. Madria
Multi-Model Z-Compression for High Speed Data Streaming and Low-Power Wireless Sensor Networks, Xiaofei Cao, Sanjay Kumar Madria, and Takahiro Hara
Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces, Enrico Casella, Marco Ortolani, Simone Silvestri, and Sajal K. Das
Introduction of a Hybrid Monitor for Cyber-Physical Systems, J. Ceasar Aguma, Bruce M. McMillin, and Amelia Regan
FLight: Toward Programmable Visible-Light-Band Wireless UAV Networking, Nan Cen
Special Issue on 6G Wireless Systems, Periklis Chatzimisios, David Soldani, Abbas Jamalipour, Antonio Manzalini, and Sajal K. Das
Exploring Reinforcement Learning Method in Bidding Strategy Development for Day-Ahead Electricity Market, Haotian Chen, Rui Bo, Ronit Das, and Donald C. Wunsch
Cross-Market Price Difference Forecast using Deep Learning for Electricity Markets, Ronit Das, Rui Bo, Waqas Ur Rehman, Haotian Chen, and Donald C. Wunsch
Efficient Photo Crowdsourcing with Evolving POIs under Delay-Tolerant Network Environment, Shudip Datta and Sanjay K. Madria
Approximation Algorithms for the Min-Max Cycle Cover Problem with Neighborhoods, Lijia Deng, Wenzheng Xu, Weifa Liang, Jian Peng, Yingjie Zhou, Lei Duan, and Sajal K. Das
A Novel Data Collection Framework for Telemetry and Anomaly Detection in Industrial Iot Systems, Fabrizio De Vita, Dario Bruneo, and Sajal K. Das
