Results 101 to 110 of about 221,472 (260)

The limit of power flow in the traction power supply system

Bulletin of scientific research results
Objective: the concept of the limit of power flow is widely used in general industrial power engineering to compare different ways of amplifying an electric network. In this paper, it is proposed to use it to evaluate the operation of traction networks of railways.
Mihail Ivanov, Vladimir Seronosov
openaire   +1 more source

Comparison of Minimally Invasive Colectomy Between Intra‐ Versus Extra‐Corporeal Anastomosis Technique (COMMIT Study): Mid‐Term Analysis

Annals of Gastroenterological Surgery, EarlyView.
This multicenter retrospective cohort study compared mid‐term oncological outcomes between intracorporeal anastomosis (IA) and extracorporeal anastomosis (EA) in minimally invasive colectomy for colon cancer using propensity score–matched data from 2018 to 2022.
Takuya Takami, Takehito Yamamoto, Yoshiro Itatani, Ryosuke Mizuno, Shinya Hamasu, Keita Hanada, Kenji Kawada, Teppei Murakami, Satoshi Nagayama, Kazutaka Obama   +9 more
wiley   +1 more source

Analysis and Application of Comprehensive Compensation Scheme for Traction Power Supply of Locomotive and Rolling Stock Test and Maintenance Base

机车电传动, 2018
In order to develop a comprehensive compensation system for efficient operation of the main transformer of the traction power supply system in the locomotive and rolling stock factory, three domestic commonly used factory traction power supply system ...
REN Tao
doaj  

Electromagnetic Field Analysis of Dual-power Traction Power Supply System in Rail Transit Depot under AC-DC Switching Power Supply Mode

Chengshi guidao jiaotong yanjiu
Objective The AC-DC (alternating current-direct current) dual-power traction power supply system depot features densely distributed tracks and relatively close catenary clearance.
XING Jiang, ZHAO Jinyu
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Analysis of Short-circuit Fault in DC Traction Power Supply System for Urban Mass Transit

Kongzhi Yu Xinxi Jishu, 2010
Fault analysis of DC traction power supply system plays an important role in programming and designing, equipment choice, scheme protection and debugging of the whole urban mass transit.
王乃永, 艾兵, 李静, 曹晖, 吴广宁   +4 more
doaj  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source