Results 51 to 60 of about 15,516 (247)
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Reducing Rare-Earth Magnet Reliance in Modern Traction Electric Machines
Currently, electric machines predominantly rely on costly rare-earth NdFeB magnets, which pose both economic and environmental challenges due to rising demand.
Oliver Mitchell Lee +1 more
doaj +1 more source
Multiphase PMSM and PMaSynRM flux map model with space harmonics and multiple plane cross harmonic saturation [PDF]
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Acosta Cambranis, Fernando Geovany +3 more
core +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Linear consequent pole Halbach array flux reversal machine
This paper presents a linear variable reluctance permanent magnet (LVRPM) machine where the armature winding and inset Halbach array permanent magnets (PMs) are mounted on E-core stators.
Mohammad Abdul Hakim Raihan +3 more
doaj +1 more source
Design methodology for high‐speed synchronous reluctance machines
This study presents two design methodologies for high‐speed synchronous reluctance (REL) machines. The interest for high‐speed drives comes from the request for compactness and high efficiency. The synchronous REL motors have been widely studied for several applications, but a coherent design procedure for high speed has not been proposed in the ...
C. Babetto, G. Bacco, N. Bianchi
openaire +2 more sources
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Contribution to multi-physical studies of small synchronous-reluctance machine for automotive equipment [PDF]
Due to environmental concern related to CO_{2} emissions, automobile manufacturers has been increasingly engaging in electrifying multiples on-board applications.
Mohd Azri Hizami, Rasid
core
Reputational Risk: An Investigation Into How Environmental Failures Drive Stock Price Crashes
ABSTRACT The study examines the relationship between stock price crashes and firm environment reputational risk. Using a large sample of US listed firms, covering a time span from 2007 to 2021, we test the effect of environmental reputation risk on three measures for the stock price crash risk (NEGCSK, DRUV, and CRASH).
Man Dang +4 more
wiley +1 more source
High Speed Synchronous Machines: Technologies and Limits
This article presents a comprehensive comparison of high-speed synchronous machines, encompassing synchronous reluctance, its permanent magnet variant, and surface permanent magnet synchronous motors.
Mauro Di Nardo +6 more
doaj +1 more source

