Results 31 to 40 of about 863 (234)
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 +4 more
wiley +1 more source
Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
An Overview of Position Sensorless Techniques for Switched Reluctance Machine Systems
Applied Sciences, 2022 Accurate real-time rotor position is indispensable for switched reluctance motors (SRM) speed and torque control. Traditional position sensors add complexity and potential failure risk to the system.
Xingtao Tang, Xiaodong Sun, Ming Yao
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The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Numerical and Analytical Modeling of Switched Reluctance Machines
Journal of Computers, 2012 Switched reluctance motor (SRM) has many specific advantages and has being gradually used in many kinds of applications. However, because it’s inherently multivariable, strong coupling and highly nonlinear, there are lots of difficulties to build its model.
Zhihui Zhang, Yuren Li
openaire +1 more source
Multi-Objective Optimization of Switched Reluctance Machine Design Using Jaya Algorithm (MO-Jaya)
Mathematics, 2021 The switched reluctance machine (SRM) design is different from the design of most of other machines. SRM has many design parameters that have non-linear relationships with the performance indices (i.e., average torque, efficiency, and so forth).
Mohamed Afifi +3 more
doaj +1 more source
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
Control method of high-speed switched reluctance motor with an asymmetric rotor magnetic circuit
Archives of Electrical Engineering, 2016 In the paper, the modified (compared to the classical asymmetric half-bridge) converter for a switched reluctance machine with an asymmetric rotor magnetic circuit was analysed.
Bogusz Piotr +2 more
doaj +1 more source
Performance Assessment of Multi-Phase Switched Reluctance Machine for Wind Energy Applications
Engineering Proceedings, 2023 The adoption of renewable energy sources, particularly wind energy, has seen remarkable growth in recent years. Wind energy generation requires efficient and reliable generators that can convert wind energy into usable electrical energy.
Waqar Ali Alias Sarang, Ali Asghar Memon
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Business Strategy and the Environment, EarlyView.ABSTRACT The shift towards sustainable food production is essential to address the urgent dual challenges of climate change and population growth, with agricultural cooperatives playing a vital role in this transformation. However, many cooperatives struggle to deliver the expected value to their members.
Ismail Badraoui +4 more
wiley +1 more source