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Research article

First published 2022-9

Electromagnetic modeling and experimental study of can-effect on a canned switched reluctance machine

Lisi Tian, Biyue Xu, Qiang Yu [...]

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2017-5

Electromagnetic and thermal coupled analysis of can effect of a novel canned switched reluctance machine as a hydraulic pump drive

Qiang Yu, Xuesong Wang, Yuhu Cheng

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2021-3

Modeling and thermal analysis of a canned permanent magnet machine with a novel network model

Qiang Yu, Haijun Zhuang, Lisi Tian

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2025-1

How a machine can understand the command intent

Maarten Schadd, Anne Merel Sternheim, Romy Blankendaal [...]

The Journal of Defense Modeling and Simulation: Applications,Methodology,Technology

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Research article

First published 1997-12-1

Can Machines Think? Deep Blue and Beyond 1

Daniel C. Dennett

ICGA Journal: The Journal of the Computer Games Community

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Editorial

First published 2014-12

Can Big Data Machines Analyze Stock Market Sentiment?

Vasant Dhar

Big Data

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Research article

First published 2018-9

An optimal control scheme of canned switched reluctance motors for hydraulic pumps

Qiang Yu, Wentao Li, Sai Chu [...]

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 1987-12

Can a Machine Understand?

Paul Taylor

Journal of Information Technology

Open access

Review article

First published 2024-10

Can machine learning assist in systemic sclerosis diagnosis and management? A scoping review

Eric P McMullen, Rajan S Grewal, Kyle Storm [...]

Journal of Scleroderma and Related Disorders

Open access

Research article

First published 2023-1

Because the machine can discriminate: How machine learning serves and transforms biological explanations of human difference

Jeffrey W. Lockhart

Big Data & Society

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