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Titlebook: Advanced Intelligent Systems for Sustainable Development (AI2SD’2020); Volume 2 Janusz Kacprzyk,Valentina E. Balas,Mostafa Ezziyya Conferen

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发表于 2025-3-21 16:45:58 | 显示全部楼层 |阅读模式
期刊全称Advanced Intelligent Systems for Sustainable Development (AI2SD’2020)
期刊简称Volume 2
影响因子2023Janusz Kacprzyk,Valentina E. Balas,Mostafa Ezziyya
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发行地址Focuses on innovative ideas and discovers recent scientific researches on Advanced Technologies and Intelligent Systems.Provides theoretical concepts, implementation, ongoing research projects, and in
学科分类Advances in Intelligent Systems and Computing
图书封面Titlebook: Advanced Intelligent Systems for Sustainable Development (AI2SD’2020); Volume 2 Janusz Kacprzyk,Valentina E. Balas,Mostafa Ezziyya Conferen
影响因子This book publishes the best papers accepted and presented at the 3rd edition of the International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an interactive access to emerging technology and approaches globally. In this book, readers find the latest ideas addressing technological issues relevant to all areas of the social and human sciences for sustainable development. Due to the nature of the conference with its focus on innovative ideas and developments, the book provides the ideal scientific and brings together very high-quality chapters written by eminent researchers from different disciplines, to discover the most recent developments in scientific research.
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On Discretizations of Bifurcation Problems, cold start, data sparsity, scalability and gray sheep issues. Then, we present the evolution of this approach by year, then the classification of published papers by the application domain and by techniques.
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ely. The framework proposed in this work might help decision-makers gaining a deeper insight into students’ academic enrollment and optimize their human and financial resources toward effective student support services.
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Euclidean Yang-Mills and Related Equationsrst discuss the feature engineering used when working with fake news extraction, then we provide a comprehensive summary of the unsupervised and the supervised methods for fake news detection. Finally, we discuss open-ended questions and future research directions relating to fake news detection paradigms.
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Conference proceedings 2022ainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an intera
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Discretization of a Parametric Pendulum,g our approach to ensure the response time and storage criteria by comparing the response time between small data and big data in the period of 100 millisecond (ms) and 1000 (ms). We demonstrate that a big data approach has the capacity to enhance the response time more than small data.
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