Results 121 to 130 of about 57,740 (314)

Advanced Cellulose‐Based Gels for Wearable Physiological Monitoring: From Fiber Modification to Application Optimization

Advanced Functional Materials, EarlyView.
This review discusses cellulose‐based hydrogels technology, analyzes their application progress in physiological signal monitoring, and explores the effects of pretreatment, crosslinking, and molding methods on gel performance, to provide valuable insights into the efficient utilization of plant fibers and the environmentally friendly development of ...
Zhiming Wang, Jinxuan Jiang, Kexin Wei, Xiaojian Zhou, Muhammad Wakil Shahzad, Yifan Li, Xuehua Zhang, Ben Bin Xu, Shengbo Ge   +8 more
wiley   +1 more source

Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learning [PDF]

, 2017
Seyed Sajad Mousavi, Michael Schukat, Enda Howley   +2 more
openalex   +1 more source

Multiple Twinning in Nacre and Aragonite

Advanced Functional Materials, EarlyView.
Electron backscatter diffraction map of a cluster of geologic aragonite, exhibiting single, double, and triple twins. The whole cluster is approximately 2 cm wide. Colors indicate crystal orientations, so that pixels where the a‐, b‐, and c‐axis is perpendicular to the image plane are green, red, and blue, respectively.
Connor A. Schmidt, William O. Nachlas, Bil Schneider, Xiaoming Mao, Eric Tambutté, Alexander A. Venn, Sylvie Tambutté, Pupa U. P. A. Gilbert   +7 more
wiley   +1 more source

Kickstarting Deep Reinforcement Learning

, 2018
We present a method for using previously-trained 'teacher' agents to kickstart the training of a new 'student' agent. To this end, we leverage ideas from policy distillation and population based training. Our method places no constraints on the architecture of the teacher or student agents, and it regulates itself to allow the students to surpass their
Schmitt, Simon, Hudson, Jonathan J., Zidek, Augustin, Osindero, Simon, Doersch, Carl, Czarnecki, Wojciech M., Leibo, Joel Z., Kuttler, Heinrich, Zisserman, Andrew, Simonyan, Karen, Eslami, S. M. Ali   +10 more
openaire   +2 more sources

A Smart Magnetically Actuated Flip‐Disc Programmable Metasurface with Ultralow Power Consumption for Real‐Time Channel Control

Advanced Functional Materials, EarlyView.
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao, Che Liu, Jia Cheng Li, Zhen Hao Fu, Yi Su Huang, Si Qi Huang, Lei Zhang, Jian Wei You, Tie Jun Cui   +8 more
wiley   +1 more source

Solvent‐Free Bonding Mechanisms and Microstructure Engineering in Dry Electrode Technology for Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang, Hao Long, Zimo Huang, Ting He, Xueming Chen, Meng Li, Hao Chen, Shanqing Zhang   +7 more
wiley   +1 more source

Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies

, 2015
David Balduzzi, Muhammad Ghifary
openalex   +2 more sources

Gigawatt-hour scale savings on a budget of zero: Deep reinforcement learning based optimal control of hot water systems [PDF]

, 2017
Hussain Kazmi, Fahad Mehmood, Stefan Lodeweyckx, Johan Driesen   +3 more
openalex   +1 more source

Miniaturized Wireless tDCS With Concentric Electrodes for Targeted Cortical Stimulation in Freely Moving Mice

Advanced Healthcare Materials, EarlyView.
This study introduces a wireless and miniaturized concentric‐electrode tDCS (CE‐tDCS) system tailored for freely moving mice. The device enables focal and multi‐site cortical stimulation via a lightweight, Bluetooth‐controlled platform. By integrating local neuromodulation with real‐time behavioral analysis, the system provides a robust tool for ...
Minseok Kim, Sehwan Park, Haeyun Lee, Giheon Kim, Namsun Chou, Hyogeun Shin   +5 more
wiley   +1 more source

How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies

, 2015
Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst   +2 more
openalex   +2 more sources