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Titlebook: Deep Learning: Algorithms and Applications; Witold Pedrycz,Shyi-Ming Chen Book 2020 Springer Nature Switzerland AG 2020 Computational Inte

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發(fā)表于 2025-3-23 11:20:21 | 只看該作者
https://doi.org/10.1007/978-3-476-00813-8ons. However, it is improbable that a single deterrent method would work for all bird species in a given area. An automatic bird identification system is needed in order to develop bird species level deterrent methods. This system is the first and necessary part of the entirety that is eventually ab
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發(fā)表于 2025-3-23 17:55:34 | 只看該作者
https://doi.org/10.1007/978-3-476-00813-8lance systems security mechanism is to re-identify a person captured in one of the camera across different surveillance cameras. Re-identification has a major role in several applications like automated surveillance of universities, offices, malls, home and restricted environments like embassies or
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發(fā)表于 2025-3-23 19:48:17 | 只看該作者
Die Deutsche Literatur des Exils,ers a unique motion pattern of an individual. Gait refers to the study of locomotion in both humans and animals. It involves?the coordination of several parts of the human body: the brain, the spinal cord, the nerves, muscles, bones, and also joints. Gait analysis?has been studied for a variety of a
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發(fā)表于 2025-3-24 01:49:01 | 只看該作者
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Witold Pedrycz,Shyi-Ming ChenProvides a comprehensive and up-to-date overview of deep learning by discussing a range of methodological and algorithmic issues.Addresses implementations and case studies, identifying the best design
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1860-949X mplementations and case studies, identifying the best designThis book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical pro
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發(fā)表于 2025-3-24 16:24:26 | 只看該作者
Book 2020h the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradig
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