Results 51 to 60 of about 875,787 (249)

Inspection of the Madison Correctional Institution

, 2006
Title from p. [1] of PDF document (viewed July 26, 2006).; "July 7, 2006."; Inspection date (unannounced): April 24, 2006.; Harvested from the web on 7/26 ...
Ohio. Correctional Institution Inspection Committee.
core  

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

Application Analysis of Intelligent Robot Inspection System at Offshore Step-up Substation

南方能源建设
[Objective] The offshore step-up substation serves as the central hub for power collection in offshore wind farms, and its inspection, operation and maintenance are crucial to ensuring safe production and improving efficiency.
Dengke ZHOU, Long CHENG, Yaping ZHANG, Peng TANG, Sheng GU, Kaiyuan ZHENG, Junsheng HE, Xue ZHANG   +7 more
doaj   +1 more source

Inspection of the Lorain Correctional Institution

, 2006
Title from p. [1] of PDF document (viewed July 3, 2006).; Date of inspection (unannounced): April 4, 2006.; "June 12, 2006."; Harvested from the web on 7/3 ...
Ohio. Correctional Institution Inspection Committee.
core  

Optical Detection of Cellular Signals at Material Interfaces

Advanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren, Jitong Ren, Zixin Zhang, Koney Eungkon Kim, Francis L. Hong, Yuecheng Peter Zhou   +5 more
wiley   +1 more source

Inspection of the Northeast Pre-Release Center

, 2006
Title from p. [1] of PDF document (viewed July 17, 2006).; "June 28, 2006."; Date of inspection (unannounced): March 31, 2006.; Harvested from the web on 7/17 ...
Ohio. Correctional Institution Inspection Committee.
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Inspection and evaluation of the Marion Juvenile Correctional Facility

, 2006
Title from p. [1] of PDF document (viewed May 19, 2006).; "April 14, 2006."; Date of inspection: Sept.
Ohio. Correctional Institution Inspection Committee.
core  

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Multi-Robot Cooperative Inspection Planning of Substation Based on Genetic Algorithm and Deep Reinforcement Learning

IEEE Access
The safe and reliable operation of power systems relies on the intelligent operation and maintenance (O&M) of substations. However, multi-robot collaborative inspection, an essential component of intelligent O&M, faces challenges such as ...
Jie Liu, Jingsheng Wang, Jiajun Peng, Yongxue Hong, Tianci Shao   +4 more
doaj   +1 more source