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Titlebook: Sustainable Development through Machine Learning, AI and IoT; First International Pawan Whig,Nuno Silva,Pavika Sharma Conference proceedin

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發(fā)表于 2025-3-21 18:03:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Sustainable Development through Machine Learning, AI and IoT
副標(biāo)題First International
編輯Pawan Whig,Nuno Silva,Pavika Sharma
視頻videohttp://file.papertrans.cn/884/883194/883194.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Sustainable Development through Machine Learning, AI and IoT; First International  Pawan Whig,Nuno Silva,Pavika Sharma Conference proceedin
描述This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15–16, 2023..The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development..
出版日期Conference proceedings 2023
關(guān)鍵詞Artificial Inttelligence; Machine Learning; IoT; Sustainable Development; Research Application; Computer
版次1
doihttps://doi.org/10.1007/978-3-031-47055-4
isbn_softcover978-3-031-47054-7
isbn_ebook978-3-031-47055-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 20:33:24 | 只看該作者
Deep Learning-Based Diagnosis of Osteoarthritis in Knee X-Ray Images Using Convolutional Neural Netwwelling, particularly in the knees. Timely and accurate detection of osteoarthritis plays a crucial role in facilitating effective treatment and management of the disease. In this study, we propose an approach using deep learning techniques to develop a convolutional neural network (CNN) trained on
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Contribution Improving Dermatoscopy in Low-Level Laser Therapy Using Convolutional Neural Networks f in the evaluation of pigmented skin lesions, plays a crucial role in optimizing LLLT outcomes. This research paper proposes the integration of Convolutional Neural Networks (CNNs) with dermatoscopy to enhance the diagnosis and treatment planning in LLLT. By leveraging the power of CNNs, the automat
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Integrating Machine Learning for Sustainable Development: Advanced Psychometrics Analysis of Learnert one‘s life, adapting to different contexts and encompassing diverse modalities and dimensions. Learning encompasses the acquisition of new knowledge, both factual and procedural, the development of cognitive and motor skills through instruction and practice, the organization of information into me
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Machine Learning Based Early Prediction of Parkinson’s Disease for Sustainable Healthcareence and technology intertwined, there was a group of researchers determined to unravel the mysteries of Parkinson‘s disease. Medical science with machine learning algorithms, aimed to develop a robust prediction model for diagnosing this complex neurological disorder. The researchers explored vario
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