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Titlebook: Innovations in Computer Science and Engineering; Proceedings of the T H. S. Saini,Rishi Sayal,Rajkumar Buyya Conference proceedings 2023 Th

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书目名称Innovations in Computer Science and Engineering
副标题Proceedings of the T
编辑H. S. Saini,Rishi Sayal,Rajkumar Buyya
视频video
概述Presents recent innovative research in the field of computational and artificial intelligence.Discusses the outcomes of ICICSE 2022, held in Hyderabad, India.Serves as a reference resource for researc
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Innovations in Computer Science and Engineering; Proceedings of the T H. S. Saini,Rishi Sayal,Rajkumar Buyya Conference proceedings 2023 Th
描述.This book features a collection of high-quality, peer-reviewed research papers presented at the 10th International Conference on Innovations in Computer Science & Engineering (ICICSE 2022), held at Guru Nanak Institutions, Hyderabad, India, on 16–17 September 2022. It covers the latest research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, and artificial neural networks..
出版日期Conference proceedings 2023
关键词Data Science and Analytics; Internet of Things; Cloud Computing; Artificial Intelligence; Wireless and S
版次1
doihttps://doi.org/10.1007/978-981-19-7455-7
isbn_softcover978-981-19-7454-0
isbn_ebook978-981-19-7455-7Series 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 Singapor
The information of publication is updating

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V. Ramya,E. Vinay Kumar,G. S. Gopika,G. Manoj Mittelpunkt der - beit von Daniel Böllhoff. Ziel ist nicht der Merger, sondern vielmehr der, wenn man im gleichen Wortlaut bleiben will, „Demerger“. Unternehme978-3-8349-0871-1978-3-8349-8297-1Series ISSN 2945-8439 Series E-ISSN 2945-8447
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Smart Healthcare System to Predict Ailments Based on Preliminary Symptoms, colour blindness, polycystic ovarian disease (PCOD), and probability of heart attack to implement in our system. We employ the power of machine learning to predict the probability of heart attack, PCOD, and myopia. A comprehensive introduction and literature work on the prediction of these ailments
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Hybrid Power Generation Forecasting Using an Intellectual Evolutionary Energy-Preserve Rate Cluster assessment model is proposed, which has the advantage of estimating from real wind farms and statistical Weather Forecast (WF) data and has proven to be a nominal method for improving the predictive accuracy of Multi-term WPG. The primary step of the Energy-Preserve Rate Clustering (EPRC) method is
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