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Deepak Adhikari
Also published under:
Affiliation
Nuwakot Distribution Center, Nepal Electricity Authority, Nuwakot, Nepal
Topic
Internet Of Things,Multi-objective Optimization,Optimization Problem,Action Recognition,Adversarial Attacks,Artificial Neural Network,Automotive Systems,Computing Nodes,Consistency Regularization,Contrastive Loss,Energy Consumption,Fault-tolerant,Image-based Methods,Multi-objective Optimization Problem,Neural Network,Optical Flow,Pareto Front,Pareto Optimal Solutions,Representation Learning,Security Protection,Self-supervised Learning,Semi-supervised Learning,Semi-supervised Methods,Transient Faults,Video Clips,Weight Vector,Wireless Sensor Networks,5G Communication,5G Technology,Action Recognition Task,Actual Demand,Additional Messages,Advanced Metering Infrastructure,Adversarial Examples,Adversarial Examples Generated,Application Of Model,Application Running,Attack Methods,Attack Performance,Attack Success,Audio Clips,Audiovisual Information,Automated Guided Vehicles,Biased Representation,Binary Code,Black-box Attacks,Bounding Box,Clear Image,Cloud Computing,Cluster Assignment,
Biography
Deepak Adhikari received the master’s degree in information and communication engineering from Hohai University, China. He is currently pursuing the Ph.D. degree in information and software engineering with the University of Electronic Science and Technology of China, Chengdu, China. He is working on autonomic data quality from multimedia data in the Internet of Things and the Internet of Things-enabled blockchain. His research interests include security, the IoT, machine learning, big data analytics, multimedia, blockchain, deep learning, and optimization.