Proceedings Of The 2nd International Conference On Neural Networks And Machine Learning 2023 Icnnml 2023


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Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)


Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)

Author: Ika Hesti Agustin

language: en

Publisher: Springer Nature

Release Date: 2024-06-27


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This is an open access book.It is with my great pleasure and honor to announce The 2nd International Conference on Neural Networks and Machine Learning which will be held from 7th – 8th November 2023 in the University of Jember, East Java, Indonesia. The selected paper will be Published in Advances in Intelligent System Research by Atlantis Press. It is the second international conference organized by CGANT Research Group, University of Jember.

Proceedings of International Conference on Emerging Technologies and Intelligent Systems


Proceedings of International Conference on Emerging Technologies and Intelligent Systems

Author: Mostafa Al-Emran

language: en

Publisher: Springer Nature

Release Date: 2021-08-07


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This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on three different themes, including software engineering, ICT in education, and management information systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications of intelligent systems and their applications.

Artificial Intelligence in Mechanical and Industrial Engineering


Artificial Intelligence in Mechanical and Industrial Engineering

Author: Kaushik Kumar

language: en

Publisher: CRC Press

Release Date: 2021-06-20


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Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.