Results 131 to 140 of about 16,838,211 (334)

Scenarios for a Clean Energy Future: Interlaboratory Working Group on Energy-Efficient and Clean-Energy Technologies

, 2000
This study estimates the potential for public policies and R and D programs to foster clean energy technology solutions to the energy and environmental challenges facing the nation.
The Interlaboratory Working Group on Energy-Efficient and Clean-Energy Technologies
core   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Efficient Processing of Compact and Heterogeneous Deep Neural Networks [Elektronisk resurs]

The unprecedented success of Deep Learning (DL) algorithms, or Deep Neural Networks (DNNs), is driving the trend toward deploying them in a variety of environments including ones with tight resources and time constraints. This has led to the emergence of
Mohammad Qararyah, Fareed,
core  

Fiber‐Based Wearable Electronics as Adaptive Biointerfaces for Healthcare Applications

Advanced Functional Materials, EarlyView.
Fiber‐based wearable electronics have been extensively studied as adaptive healthcare biointerfaces. In this review, we classify and introduce fiber‐based systems according to biointerface design, conductive materials, transduction mechanisms, and healthcare applications, and provide a perspective on their translation toward reliable, continuous ...
Sangwoo Hong, Jinsol Kim, Yoonjae Jeong, Sejong Kang, Daeho Lee, Seung Hwan Ko   +5 more
wiley   +1 more source

Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives

Chinese Journal of Mechanical Engineering
The new energy vehicle plays a crucial role in green transportation, and the energy management strategy of hybrid power systems is essential for ensuring energy-efficient driving.
Xiaolin Tang, Jiaxin Chen, Yechen Qin, Teng Liu, Kai Yang, Amir Khajepour, Shen Li   +6 more
doaj   +1 more source

Deep Learning-based Data Collection to Reduce Energy Consumption in Internet of Things Devices

The Internet of Things has revolutionized various industries, but the energy consumption of the devices remains a significant challenge. This paper proposes a novel approach to reduce energy consumption using deep learning-based data collection ...
Lorenzo Calisti, Emanuele Lattanzi
core  

A Learning-Based MAC for Energy Efficient Wireless Sensor Networks

, 2014
Designing energy-efficient communication protocols is one of the main challenges in wireless sensor networks. This work presents an adaptive radio scheduling schema employing a reinforcement learning algorithm for reducing the energy consumption while ...
Galzarano, S., Liotta, A., Liotta, Antonio, Fortino, Giancarlo, Fortino, G., Antonio Liotta, Galzarano, Stefano, Giancarlo Fortino, Stefano Galzarano   +8 more
core   +1 more source

Mechanics of Telson Ridges in Mantis Shrimp for Impact Analysis and Implications for Bioinspired Elastic Shell Designs

Advanced Functional Materials, EarlyView.
The mantis shrimp telson reveals how ridged biological shields control deformation under impact. Inspired by this architecture, telson‐inspired ridged curved shells transform ridge geometry and macroscopic curvature into bidirectional snap‐through, tunable stiffness, and enhanced hysteretic energy dissipation for multifunctional architected materials ...
Phani Saketh Dasika, Adwait Trikanad, Wei Huang, Taige Hao, David Kisailus, Pablo D. Zavattieri   +5 more
wiley   +1 more source

Energy-Efficient Container Scheduling Based on Deep Reinforcement Learning in Data Centers

Computers
As data centers become essential large-scale infrastructures for data processing and intelligent computing, the efficiency of their internal scheduling systems is critical for both service quality and energy consumption.
Zhuohui Li, Shaofeng Zhang, Yiqian Li, Xingchen Liu, Junyang Huang, Jinlong Hu   +5 more
doaj   +1 more source

Degradable, Skin‐Conformal Nanocomposite‐Based Bioelectronic Patches for High‐Fidelity Electrophysiology and Gesture‐Controlled Robotics

Advanced Functional Materials, EarlyView.
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong, Hongna Yuan, Shubo Liu, Abdulkadir Sanli, Emiliano Bilotti, Han Zhang, Pietro Cataldi, Karin Hing, Oliver Fenwick, Colin J. Humphreys, Dimitrios G. Papageorgiou   +10 more
wiley   +1 more source