期刊全稱 | Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing | 影響因子2023 | Sujata Dash,Subhendu Kumar Pani,Yulan Liang | 視頻video | http://file.papertrans.cn/147/146218/146218.mp4 | 發(fā)行地址 | Addresses recent research on soft computing techniques in data science, IoT, and cloud computing.Presents the latest advances and developments in the field of multimedia retrieval, fault tolerance, sy | 學(xué)科分類 | Studies in Big Data | 圖書封面 |  | 影響因子 | .This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predica | Pindex | Book 2021 |
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