Advances in Data Science and Computing Technology: Methodology and Applications
暫譯: 數據科學與計算技術的進展:方法論與應用
Ghosal, Suman, Choudhury, Amitava, Saxena, Vikram Kumar
- 出版商: Apple Academic Press
- 出版日期: 2022-11-24
- 售價: $5,830
- 貴賓價: 9.5 折 $5,539
- 語言: 英文
- 頁數: 420
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1774639971
- ISBN-13: 9781774639979
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相關分類:
Data Science
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相關主題
商品描述
This volume helps to address the genuine 21st century need for advances in data science and computing technology. It provides an abundance of new research and studies on progressive and innovative technologies, including artificial intelligence, communication systems, cyber security applications, data analytics, Internet of Things (IoT), machine learning, power systems, VLSI, embedded systems, and much more. The book presents a variety of interesting and important aspects of data science and computing technologies and methodologies in a wide range of applications, including deep learning, DNA cryptography, classy fuzzy MPPT controller, driving assistance, and safety systems. Novel algorithms and their applications for solving cutting-edge computational and data science problems are included also for an interdisciplinary research perspective.
The book addresses recent applications of deep learning and ANN paradigms, the role and impact of big data in the e-commerce and retail sectors, algorithms for load balancing in cloud computing, advances in embedded system based applications, optimization techniques using a MATLAB platform, and techniques for improving information and network security.
Advances in Data Science and Computing Technology: Methodology and Applications provides a wealth of valuable information and food for thought on many important issues for data scientists and researchers, industry professionals, and faculty and students in the data and computing sciences.
商品描述(中文翻譯)
本卷旨在滿足21世紀對數據科學和計算技術進步的真實需求。它提供了大量關於進步和創新技術的新研究和研究,包括人工智慧、通信系統、網絡安全應用、數據分析、物聯網 (IoT)、機器學習、電力系統、超大規模集成電路 (VLSI)、嵌入式系統等。該書展示了數據科學和計算技術及方法在各種應用中的多個有趣且重要的方面,包括深度學習、DNA 密碼學、經典模糊 MPPT 控制器、駕駛輔助和安全系統。書中還包括了解決前沿計算和數據科學問題的新算法及其應用,從跨學科研究的角度出發。
本書探討了深度學習和人工神經網絡 (ANN) 範式的最新應用、大數據在電子商務和零售行業中的角色和影響、雲計算中的負載平衡算法、基於嵌入式系統的應用進展、使用 MATLAB 平台的優化技術,以及改善信息和網絡安全的技術。
《數據科學與計算技術的進展:方法論與應用》提供了大量有價值的信息和思考,涉及數據科學家和研究人員、行業專業人士以及數據和計算科學領域的教職員和學生所關心的許多重要議題。
作者簡介
Suman Ghosal is Assistant Professor and Head of the Department of Electrical and Electronics Engineering at Pailan College of Management and Technology, Kolkata, India. He is also Administrative In-Charge of Pailan Technical Campus, Kolkata. He has more than 12 years of academic experience in addition to industrial experience. His broad areas of interest include renewable energy, electronics devices, and soft computing. He has published many research papers in various national and international reputed journals and conferences. He obtained his BTech degree from Maulana Abul Kalam Azad University of Technology (formerly WBUT), Kolkata, and his MTech from Bengal Engineering and Science University, Shibpur. He is currently pursuing a PhD at the Indian Institute of Engineering Science and Technology, Shibpu, India.
Amitava Choudhury, PhD, is Assistant Professor in the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. He has more than ten years of experience in teaching and many years in research work. He serves as a reviewer for IEEE Biomedical Transaction and the journal Medical & Biological Engineering & Computing. He is member of IEEE, UP section, and the Institute of Engineers, India. His area of research interest is computational geometry in the field of micromechanical modelling, pattern recognition, character recognition, and machine learning. Currently, he is associated with the journal Cluster Computing as a guest editor. He earned his MTech from Jadavpur University and submitted his PhD thesis at the Indian Institute of Engineering Science and Technology, Shibpur, India.
Vikram Kumar Saxena is Assistant Professor at the Pailan College of Management and Technology Kolkata, India. He has been a teaching professional for more than eight years. His research area of interest includes electrical machines, power systems, and power electronics. He has published many research papers in national and international journals and conferences. He received his BTech from West Bengal University of Technology, Kolkata, and his MTech from the National Institute of Technology Patna, India.
Arindam Biswas, PhD, is Associate Professor in the School of Mines and Metallurgy at Kazi Nazrul University, Asansol, West Bengal, India. Dr. Biswas has 10 years of experience in teaching research and administration. He has published many technical papers in journals and conference proceedings as well as six books, an edited volume, and a book chapter. Dr. Biswas was awarded several research grants. Presently Dr. Biswas is serving as an Associate Editor of the journal Cluster Computing and as a guest editor of Nanoscience and Nanotechnology and Recent Patents on Materials Science. He has organized and chaired several international conferences in India and abroad. Dr. Biswas acted as reviewer for journals and is a member of the Institute of Engineers (India) and regular fellow of Optical Society of India (India).
Prasenjit Chatterjee, PhD, is the Dean (Research and Consultancy) at MCKV Institute of Engineering, India. He has published over 90 research papers in international journals and peer-reviewed conferences. He has received numerous awards, including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. He has been the guest editor of several special issues and has authored and edited several books on decision-making approaches, supply chains, and sustainability modeling. He is the lead editor of the book series AAP Research Notes on Optimization and Decision-Making Theories and Frontiers of Mechanical and Industrial Engineering with Apple Academic Press. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called measurement of alternatives and ranking according to compromise solution (MARCOS) and ranking of alternatives through functional mapping of criterion sub-intervals into a single interval (RAFSI).
作者簡介(中文翻譯)
Suman Ghosal 是印度加爾各答 Pailan 管理與技術學院電氣與電子工程系的助理教授及系主任。他同時也是 Pailan 技術校區的行政負責人。他擁有超過 12 年的學術經驗以及工業經驗。他的廣泛研究興趣包括可再生能源、電子設備和軟計算。他在各種國內外知名期刊和會議上發表了許多研究論文。他在加爾各答的 Maulana Abul Kalam Azad 科技大學(前身為 WBUT)獲得了 BTech 學位,並在 Shibpur 的孟加拉工程與科學大學獲得 MTech 學位。他目前正在印度 Shibpur 的印度工程科學與技術研究所攻讀博士學位。
Amitava Choudhury,博士,是印度德拉敦石油與能源研究大學計算機科學學院的助理教授。他擁有超過十年的教學經驗以及多年的研究工作經驗。他擔任 IEEE 生物醫學交易期刊和期刊 Medical & Biological Engineering & Computing 的審稿人。他是 IEEE UP 區域的成員,以及印度工程師協會的成員。他的研究興趣領域包括微機械建模、模式識別、字符識別和機器學習的計算幾何。目前,他與期刊 Cluster Computing 擔任客座編輯。他在 Jadavpur 大學獲得 MTech,並在印度 Shibpur 的印度工程科學與技術研究所提交了博士論文。
Vikram Kumar Saxena 是印度加爾各答 Pailan 管理與技術學院的助理教授。他擁有超過八年的教學經驗。他的研究興趣包括電機、電力系統和電力電子。他在國內外期刊和會議上發表了許多研究論文。他在加爾各答的西孟加拉科技大學獲得 BTech,並在印度 Patna 的國立技術學院獲得 MTech。
Arindam Biswas,博士,是印度西孟加拉 Asansol 的 Kazi Nazrul 大學礦業與冶金學院的副教授。Biswas 博士擁有 10 年的教學、研究和行政經驗。他在期刊和會議論文集中發表了許多技術論文,並出版了六本書、一部編輯卷和一章書。Biswas 博士獲得了多項研究資助。目前,Biswas 博士擔任期刊 Cluster Computing 的副編輯,以及 Nanoscience and Nanotechnology 和 Recent Patents on Materials Science 的客座編輯。他在印度及國外組織並主持了多個國際會議。Biswas 博士擔任期刊的審稿人,並是印度工程師協會的成員及印度光學學會的常任研究員。
Prasenjit Chatterjee,博士,是印度 MCKV 工程學院的研究與諮詢院長。他在國際期刊和同行評審會議上發表了超過 90 篇研究論文。他獲得了多項獎項,包括最佳論文獎、傑出審稿人獎、最佳論文獎、傑出研究者獎和大學金獎。他曾擔任多個特刊的客座編輯,並撰寫和編輯了多本有關決策方法、供應鏈和可持續性建模的書籍。他是 AAP Research Notes 系列書籍的主編,該系列專注於優化和決策理論以及機械與工業工程的前沿。Chatterjee 博士是兩種多準則決策方法的開發者,分別為替代方案的測量和根據妥協解的排名(MARCOS)以及通過將準則子區間的功能映射到單一區間的替代方案排名(RAFSI)。