Results 191 to 200 of about 267,177 (347)
Dynamic Thermal Rating of Overhead Power Lines
, 2021 Etterspørselen etter elektrisk energi er økende over hele verden. Kompleksiteten og variasjonene i både produksjon og forbruk øker også, som et resultat av flere fornybare energikilder. På grunn av denne utviklingen er det viktig å utnytte kapasiteten eksisterende kraftlinjer bedre. Tidligere har statiske grenselaster vært den vanligste måten å betjene
openaire +1 more source
Telemetric Monitoring Insulation Condition of High Voltage Overhead Power Lines
, 2018 Iosif Breido +2 more
openalex +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Electromagnetic energy harvester for atmospheric sensors on overhead power distribution lines [PDF]
, 2018 Zhiwei Wu +5 more
openalex +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source