Results 101 to 110 of about 212,484 (267)

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 more
wiley   +1 more source

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

Advanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son, Changwoo Pyo, Sungmoon Park, Yoongi Cho, Seungchan Lee, Myungsoo Kim   +5 more
wiley   +1 more source

Distributed Deep Q-Learning

CoRR, 2015
Updated figure of distributed deep learning architecture, updated content throughout paper including dealing with minor grammatical issues and highlighting differences of our paper with respect to prior work.
Hao Yi Ong, Kevin Chavez, Augustus Hong
openaire   +2 more sources

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

CUBIC-Learn: A Reinforcement Learning Approach to CUBIC Congestion Control

Jordanian Journal of Computers and Information Technology
Managing congestion effectively enables reliable and fast data transfer over networks. CUBIC delivers reliable results under normal circumstances but cannot adapt effectively to changing network scenarios.
Ehsan Abedini, Mohsen Nickray
doaj   +1 more source

Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning

Sensors, 2019
The maximum power point tracking (MPPT) technique is often used in photovoltaic (PV) systems to extract the maximum power in various environmental conditions.
Kuan-Yu Chou, Shu-Ting Yang, Yon-Ping Chen   +2 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

A Reinforcement Learning Approach to Solve Service Restoration and Load Management Simultaneously for Distribution Networks

IEEE Access, 2019
Energy and economy are increasing the relationship over the years, where the energy becomes a significant resource to keep a country developing, and it supports its economy.
Lucas Roberto Ferreira, Alexandre Rasi Aoki, Germano Lambert-Torres   +2 more
doaj   +1 more source

Spiro‐Phenothiazine Hole‐Transporting Materials: Unlocking Stability and Scalability in Perovskite Solar Cells

Advanced Materials, EarlyView.
Fluorene‐functionalized spiro‐phenothiazine (PTZ‐Fl) exhibits strong Li+ affinity and thermal stability, enabling a PCE of 25.75% in small‐area cells and 22.07% in 25 cm2 modules. Under ISOS‐L3 conditions, PTZ‐Flbased devices retain over 80% efficiency after 1000 hours, demonstrating superior stability and scalability compared to spiro‐OMeTAD for next ...
Javier Urieta‐Mora, Seung Ju Choi, Jaeki Jeong, Silvia Orecchio, Inés García‐Benito, Manuel Pérez‐Escribano, Joaquín Calbo, Likai Zheng, Minseop Byun, Seyeong Song, Gi‐Hwan Kim, Shaik M. Zakeeruddin, Seog‐Young Yoon, Yimhyun Jo, Agustín Molina‐Ontoria, Enrique Ortí, Nazario Martín, Michael Grätzel   +17 more
wiley   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source