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Titlebook: Artificial Intelligence and Sustainable Computing; Proceedings of ICSIS Manjaree Pandit,M. K. Gaur,Akhilesh Tiwari Conference proceedings 2

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發(fā)表于 2025-3-21 19:41:49 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence and Sustainable Computing
期刊簡稱Proceedings of ICSIS
影響因子2023Manjaree Pandit,M. K. Gaur,Akhilesh Tiwari
視頻videohttp://file.papertrans.cn/163/162323/162323.mp4
發(fā)行地址Presents research works in the field of artificial intelligence and sustainable computing.Provides original works presented at ICSISCET 2021 held in Gwalior, India.Serves as a reference for researcher
學(xué)科分類Algorithms for Intelligent Systems
圖書封面Titlebook: Artificial Intelligence and Sustainable Computing; Proceedings of ICSIS Manjaree Pandit,M. K. Gaur,Akhilesh Tiwari Conference proceedings 2
影響因子This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.
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https://doi.org/10.1007/978-3-662-07164-9eneration can be easily determined. Most appropriate ML algorithm with the best performance is identified and fine-tuned for further optimization and improved performance. A graphical user interface application is proposed for easy wind power forecasting and in extended applications.
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Performance Improvement of CTNR Protocol in Wireless Sensor Network Using Machine Learning,one level hierarchy is increased. For the path establishment, artificial bee colony is used. The improved CTNR protocol is called modified cluster head to normal ratio (M-CTNR). The M-CTNR protocol is implemented in MATLAB, and results are compared with various parameters.
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Asthma Detection System: Machine and Deep Learning-Based Techniques,dio data using the ConvNet model with Adam optimizer with 99.8% Accuracy, 100% Sensitivity, 100% Specificity, and 99% F-Score. Conclusion: The developed IA-based application is capable of diagnosing Asthma accurately and can be easily and efficiently utilised in clinical decision-making.
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Conference proceedings 2022 are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.
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