Results 1 to 10 of about 60,322 (264)
Towards Energy Efficient Home Automation: A Deep Learning Approach [PDF]
Sensors, 2020 Home Automation Systems (HAS) attracted much attention during the last decade due to the developments in new wireless technologies, such as Bluetooth 4.0, 5G, WiFi 6, etc.
Murad Khan, Junho Seo, Dongkyun Kim
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Energy-Efficient IoT Sensor Calibration With Deep Reinforcement Learning [PDF]
IEEE Access, 2020 The modern development of ultra-durable and energy-efficient IoT based communication sensors has much application in modern telecommunication and networking sectors.
Akm Ashiquzzaman +3 more
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A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing
IEEE Access, 2019 Mobile edge computing (MEC) has shown tremendous potential as a means for computationally intensive mobile applications by partially or entirely offloading computations to a nearby server to minimize the energy consumption of user equipment (UE). However,
Zaiwar Ali +5 more
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All-optical ultrafast ReLU function for energy-efficient nanophotonic deep learning
Nanophotonics, 2022 In recent years, the computational demands of deep learning applications have necessitated the introduction of energy-efficient hardware accelerators. Optical neural networks are a promising option; however, thus far they have been largely limited by the
Li Gordon H.Y. +6 more
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Frontiers in Robotics and AI, 2022 Underwater snake robots have received attention because of their unique mechanics and locomotion patterns. Given their highly redundant degrees of freedom, designing an energy-efficient gait has been a main challenge for the long-term autonomy of ...
Chu Zheng +2 more
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Towards efficient and effective renewable energy prediction via deep learning
Energy Reports, 2022 Renewable energy (RE) offers major environmental and economic benefits compared to nuclear and fuel-based energy; however, the data used for RE include significant randomness, intermittent behaviour, and strong-volatility, hindering their integration ...
Zulfiqar Ahmad Khan +4 more
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Review on Deep Learning Research and Applications in Wind and Wave Energy
Energies, 2022 Wind energy and wave energy are considered to have enormous potential as renewable energy sources in the energy system to make great contributions in transitioning from fossil fuel to renewable energy.
Chengcheng Gu, Hua Li
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Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch
Frontiers in Neuroscience, 2021 Spiking Neural Networks (SNNs) have recently emerged as an alternative to deep learning owing to sparse, asynchronous and binary event (or spike) driven processing, that can yield huge energy efficiency benefits on neuromorphic hardware.
Youngeun Kim, Priyadarshini Panda
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Biomimetics, 2023 With the rapid development of enabling technologies like VR and AR, we human beings are on the threshold of the ubiquitous human-centric intelligence era.
Chunlei Chen +7 more
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Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning
IEEE Access, 2021 In Deep Reinforcement Learning (DRL) for robotics application, it is important to find energy-efficient motions. For this purpose, a standard method is to set an action penalty in the reward to find the optimal motion considering the energy expenditure ...
Katsumi Naya +3 more
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