Ota, Kaoru

Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

Li, H., Ota, K., & Dong, M. (2018) · IEEE Network

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 1,566

Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing

Li, L., Ota, K., & Dong, M. (2018) · IEEE Transactions on Industrial Informatics

Industrial Vision Systems and Defect DetectionIoT and Edge/Fog Computing

Cited by 466

UAV-Based Real-Time Survivor Detection System in Post-Disaster Search and Rescue Operations

Dong, J., Ota, K., & Dong, M. (2021) · IEEE Journal on Miniaturization for Air and Space Systems

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 174

Big Data Analysis-Based Security Situational Awareness for Smart Grid

Wu, J., Ota, K., Dong, M., Li, J., & Wang, H. (2018) · IEEE Transactions on Big Data

Smart Grid Security and ResilienceSmart Grid and Power Systems

Cited by 144

Deep Learning for Mobile Multimedia: A Survey

Ota, K., Dao, M. S., Mezaris, V., & Natale, F. G. B. D. (2017) · ACM Transactions on Multimedia Computing, Communications, and Applications

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 135

Efficient Privacy Preserving in IoMT With Blockchain and Lightweight Secret Sharing

Li, C., Dong, M., Xin, X., Li, J., Chen, X.-B., & Ota, K. (2023) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 118

DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization

Li, L., Ota, K., & Dong, M. (2019) · IEEE Network

Software-Defined Networks and 5GIoT and Edge/Fog Computing

Cited by 43