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Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut

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發(fā)表于 2025-3-21 19:28:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Systems and Applications
副標(biāo)題Proceedings of the 2
編輯Kohei Arai
視頻videohttp://file.papertrans.cn/471/470035/470035.mp4
概述Presents recent research in intelligent systems and applications.Gathers the proceedings of the Intelligent Systems Conference 2022 (IntelliSys 2022).Focuses on various areas of intelligent systems an
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut
描述.The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings..This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence..
出版日期Conference proceedings 2024
關(guān)鍵詞Artificial Intelligence; Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intel
版次1
doihttps://doi.org/10.1007/978-3-031-47718-8
isbn_softcover978-3-031-47717-1
isbn_ebook978-3-031-47718-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Intelligent Systems and Applications影響因子(影響力)




書目名稱Intelligent Systems and Applications影響因子(影響力)學(xué)科排名




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書目名稱Intelligent Systems and Applications網(wǎng)絡(luò)公開度學(xué)科排名




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發(fā)表于 2025-3-21 21:34:18 | 只看該作者
Ming Wang,Javid Huseynov,Jim Chan,Jin Linuierlich verteilte Werte der unabh?ngigen Variabein erkl?rt waren, n?mlich auf Zahlenfolgen. Die einzelne Zahl der Folge haben wir dabei als Funktion ihrer Nummer aufgefa?t und den Grenzwert untersucht, welchem diese Funktion bei ins Unendliche wachsender unabh?ngiger Variablen, n?mlich ihrer Numme
板凳
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地板
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發(fā)表于 2025-3-22 12:35:05 | 只看該作者
Ali Hatamleh,Tarek A. Tutunji,Ahmad Mahasnehhnung. In den folgenden B?nden sollen Funktionen mehrerer Ver?nderlichen, gew?hnliche Differentialgleichungen und Integrations- theorie behandelt werden. Das Werk ist aus Vorlesungen für Studienanf?nger der Mathematik und Physik hervorgegangen. Dem einführenden Charakter dieser Vor- lesungen gem?? s
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發(fā)表于 2025-3-22 13:37:27 | 只看該作者
Aditi Singh,Arvind K. Bansalntegralrechnung. In den folgenden B?nden sollen Funktionen mehrerer Ver?nderlichen, gew?hnliche Differentialgleichungen und Integrations- theorie behandelt werden. Das Werk ist aus Vorlesungen für Studienanf?nger der Mathematik und Physik hervorgegangen. Dem einführenden Charakter dieser Vor- lesung
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,Evaluating the?Effectiveness of?Pre-trained Language Models in?Predicting the?Helpfulness of?Onliner potential helpfulness. However, only a few reviews ever receive any helpfulness votes on online marketplaces. Sorting all reviews based on the few existing votes can cause helpful reviews to go unnoticed because of the limited attention span of readers. The problem of review helpfulness prediction
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發(fā)表于 2025-3-23 03:27:01 | 只看該作者
A New Model for the Arabic Language Based on the Semantic Representation of Words and Sentences,lications as natural language modeling could help a machine to grasp a high understanding of human language. The proposed model is based on the contextual and semantic representation of words in this language. It is a new and robust version of Word2Vec that aims to feed NLP applications with rich wo
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