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Titlebook: Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing; Sujata Dash,Subhendu Kumar Pani,Yulan Liang Book 2021 The Edi

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發(fā)表于 2025-3-21 17:32:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing
影響因子2023Sujata Dash,Subhendu Kumar Pani,Yulan Liang
視頻videohttp://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(lèi)Studies in Big Data
圖書(shū)封面Titlebook: Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing; Sujata Dash,Subhendu Kumar Pani,Yulan Liang Book 2021 The Edi
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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Soft Computing Techniques for Physical Layer Security of IoT Deviceswe do have an underlying theory of strongly interacting particles, namely the QCD. For that rea- son, the experimental topics covered during the meeting ranged from precision measurements with hadronic and electromagnetic probes to ultra-relativistic heavy-ion reactions. Correspondingly, the theoret
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Linear Congruence?Generator and Chaos Based Encryption Key Generation for Medical Data Security in I, .], in order to consider the different views and abstraction levels of architecture models, e.g., the system context, the system feature with its data flow, and the mapping to concrete hardware and software solutions. In addition, we discuss the impact of emerging trends such as flexible component
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shelf life of 3?years provided that standard storage conditions are ensured. The developed CRMs are included into the RF State Register of Certified Reference Materials under the following numbers: CRM 11122-2018, CRM 11123-2018, CRM 11124-2018, CRM 11125-2018 and CRM 11126-2018. The CRMs produced
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Hybrid Cloud Data Protection Using Machine Learning Approachion required extending the range of the manufactured RMs for new product groups. High-precision procedures for measuring the mass fraction of fat in liquid dairy products, fish, pastry, confectionery, and pasta products, as well as the mass fraction of lactose in liquid dairy products were developed
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