Results 311 to 320 of about 16,838,211 (334)

An energy-efficient deep learning processor with heterogeneous multi-core architecture for convolutional neural networks and recurrent neural networks

International Symposium on Low-Power and High-Speed Chips, 2017
Dongjoo Shin, Jin-Su Lee, Jin-Su Lee, Juhyoung Lee, H. Yoo   +4 more
semanticscholar   +1 more source

All-Optical Ultrafast ReLU Function for Energy-Efficient Nanophotonic Deep Learning

Nanophotonics, 2023
Gordon H Y Li, Rajveer Nehra, Luis Ledezma   +2 more
exaly  

Fast and Energy-efficient Deep Neuromorphic Learning.

ERCIM News, 2021
Julian Göltz, Laura Kriener, Virginie Sabado, Mihai A. Petrovici   +3 more
openaire   +1 more source

An Approximate DRAM Architecture for Energy-efficient Deep Learning

, 2020
Duy-Thanh Nguyen, Ik Joon Chang
semanticscholar   +1 more source

Deep learning based energy efficient optimal RMC-CNN model for secured data transmission and anomaly detection in industrial IOT

Sustainable Energy Technologies and Assessments, 2023
K. Sankaran, Bong-Hyun Kim
semanticscholar   +1 more source

PV-Net: An Innovative Deep Learning Approach for Efficient Forecasting of Short-Term Photovoltaic Energy Production

Journal of Cleaner Production, 2021
Hossam Hawash, Mohamed Abdel-Basset, Michael J Ryan   +2 more
exaly  

Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach

IEEE Transactions on Intelligent Transportation Systems, 2021
Nguyen Tran, Sarder Fakhrul Abedin, Zhu Han   +2 more
exaly  

DYNAMIC QUANTIZATION FOR ENERGY EFFICIENT DEEP LEARNING

2022
ARDYWIBOWO RANDY, DAYANA VENKATA RAVI KIRAN, HWANG HAU   +2 more
openaire   +2 more sources

Deep Reinforcement Learning for Energy-Efficient Power Control in Heterogeneous Networks

ICC 2022 - IEEE International Conference on Communications, 2022
Jianhao Peng, Jiabao Zheng, Lin Zhang 0022, Ming Xiao 0001   +3 more
openaire   +2 more sources

Energy-Efficient Multi-Pass Cutting Parameters Optimisation for Aviation Parts in Flank Milling With Deep Reinforcement Learning

Robotics and Computer-Integrated Manufacturing, 2023
Chao Zhang, Guanghui Zhou, Fengyi Lu
exaly