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Robust and Energy Efficient Deep Learning Systems

Due to their unprecedented capability to discover patterns in data, Deep Learning (DL) algorithms have emerged as a powerful and dominant set of techniques for solving challenging problems that fall under the domain of Artificial Intelligence (AI). The models trained using these algorithms, i.e., Deep Neural Networks (DNNs), are nowadays being used in ...
openaire   +1 more source

Age-Energy Efficiency in WPCNs: A Deep Reinforcement Learning Approach

IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022
Haina Zheng   +4 more
openaire   +2 more sources

Energy Efficiency Optimization in LoRa Networks—A Deep Learning Approach

IEEE Transactions on Intelligent Transportation Systems, 2023
Lam-Thanh Tu   +5 more
openaire   +2 more sources

Machine Learning in Epigenetic Diseases

Medical Epigenetics, 2021
Robert E Akins, Karyn Robinson
exaly  

Multivariate Regressive Deep Stochastic Artificial Learning for Energy and Cost Efficient 6G Communication

Sustainable Computing: Informatics and Systems, 2021
Fadi Al-Turjman   +2 more
exaly  

M2C: Energy efficient mobile cloud system for deep learning

2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2014
Kai Sun   +4 more
openaire   +2 more sources

A Game-Based Deep Reinforcement Learning Approach for Energy-Efficient Computation in MEC Systems

Knowledge-Based Systems, 2022
Anfeng Liu, Wei Liu, Miaojiang Chen
exaly  

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