Results 51 to 60 of about 2,868,125 (339)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Design parameters of a reluctance actuation system for stable operation conditions with applications of high‐precision motions in lithography machines

IET Electric Power Applications, 2022
Recently, the reluctance actuator has attracted great attention to replace the Lorentz actuator in the next generation of wafer scanners in semi‐conductor lithography machines. The reluctance actuator has a non‐linear position‐force characteristic, which
Mohammad Al Saaideh, Natheer Alatawneh, Mohammad Al Janaideh   +2 more
doaj   +1 more source

Advanced nonlinear modelling techniques for switched reluctance machines [PDF]

, 2003
This paper gives an overview of different modelling techniques to describe the nonlinear behaviour of both saturated switched reluctance machine (SRM) and power electronic converter.
Belmans, Ronnie, D'Hulster, Frederik, Desmet, Jan, Stockman, Kurt   +3 more
core  

A Review of the Power Converter Interfaces for Switched Reluctance Machines

, 2020
The use of power electronic converters is essential for the operation of Switched Reluctance Machines (SRMs). Many topologies and structures have been developed over the last years considering several specific applications for this kind of machine ...
V. Pires, A. Pires, A. Cordeiro, D. Foito   +3 more
semanticscholar   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Solar array fed synchronous reluctance motor driven water pump : an improved performance under partial shading conditions [PDF]

, 2019
An improved performance of a photovoltaic (PV) pumping system employing a synchronous reluctance motor (SynRM) under partial shading conditions is proposed.
Al-Dhaifallah, Mujahed, Ibrahim, Mohamed Nabil Fathy, Rezk, Hegazy, Sergeant, Peter   +3 more
core   +2 more sources

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

High Speed Synchronous Machines: Technologies and Limits

IEEE Open Journal of Industry Applications
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, Gianvito Gallicchio, Francesco Cupertino, Marco Palmieri, Mohammad Reza Ilkhani, Michele Degano, Chris Gerada   +6 more
doaj   +1 more source

Assessment of torque components in brushless permanent-magnet machines through numerical analysis of the electromagnetic field [PDF]

, 2005
For the calculation of torque in brushless (BL) alternating current motors a local method is proposed, based on the Maxwell stress theory and the filtered contributions due to the harmonics of the magnetic vector potential in the motor air gap.
Dellinger, S.J., Ionel, D.M., McGilp, M.I., Miller, T.J.E., Popescu, M.   +4 more
core   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
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, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source