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Titlebook: Artificial Intelligence in Models, Methods and Applications; Olga Dolinina,Igor Bessmertny,Vadim Zhmud Conference proceedings 2023 The Edi

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發(fā)表于 2025-3-21 18:52:50 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence in Models, Methods and Applications
影響因子2023Olga Dolinina,Igor Bessmertny,Vadim Zhmud
視頻videohttp://file.papertrans.cn/163/162505/162505.mp4
發(fā)行地址Presents the outcome of conference Artificial Intelligence in Engineering and Science – AIES-2022.Covers not only AI but also Computational Intelligence, Knowledge engineering, Fuzzy systems, Soft Com
學科分類Studies in Systems, Decision and Control
圖書封面Titlebook: Artificial Intelligence in Models, Methods and Applications;  Olga Dolinina,Igor Bessmertny,Vadim Zhmud Conference proceedings 2023 The Edi
影響因子This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022). The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI). Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence..
Pindex Conference proceedings 2023
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https://doi.org/10.1007/978-3-031-22938-1Artificial intelligence; Decision making; Conference Proceedings; knowledge representation; neurorecogni
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978-3-031-22976-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Fast Start Differential Calculusterative-order optimization algorithm developed by the authors. Decision-making theory is one of the artificial intelligence problems. The theory of the global qualitative importance of criteria is currently well developed, there are many works on this topic. Moreover, numerous computer decision sup
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Parametric, Polar, and Vector Functions,tifying a spatial entity and predicting its behavior, the human researcher mentally reproduces the situations known to him in the analyzed spatial area. This operation is called transformation in this work. For intelligent systems, transformation is universal since it involves the transfer of existi
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The Third ,: Land Occupation Dynamics,ew due to partial automation. The FastText algorithm is used to obtain vector representations of source code texts. A pre-trained neural network language model based on the transformer architecture was used to derive a possible natural language function assignment. A classifier based on the gradient
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