Results 171 to 180 of about 267,177 (347)

Effect of Overhead Ground Wires on Reduction of Failure Rates of Surge Arresters on Power Distribution Lines

open access: bronze, 1997
Kazuo Nakada   +4 more
openalex   +2 more sources

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

OPTIMIZATION OF FAULT INDICATORS SETTING FOR OVERHEAD POWER LINES MONITORING

open access: hybrid, 2017
І.В. Блінов   +2 more
openalex   +2 more sources

Wind-Induced Clearances Infringement of Overhead Power Lines [PDF]

open access: bronze, 2014
Ali I. El Gayar   +2 more
openalex   +1 more source

Detection of damage sites on overhead power lines with a voltage of 110 kV or higher

open access: diamond, 2021
V. N. Kuryanov   +4 more
openalex   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Study on Power Line Coupler for Auxiliary Power to Overhead Line

open access: yesThe Journal of Korean Institute of Electromagnetic Engineering and Science, 2018
Gunbok Lee   +4 more
openaire   +1 more source

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