Advances in Data Science and Computing Technology: Methodology and Applications

Ghosal, Suman, Choudhury, Amitava, Saxena, Vikram Kumar

  • 出版商: Apple Academic Press
  • 出版日期: 2022-11-24
  • 售價: $7,430
  • 貴賓價: 9.5$7,059
  • 語言: 英文
  • 頁數: 420
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1774639971
  • ISBN-13: 9781774639979
  • 相關分類: Data Science
  • 海外代購書籍(需單獨結帳)

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)

這本書籍有助於滿足21世紀對於數據科學和計算技術進步的真實需求。它提供了大量關於先進和創新技術的新研究和研究,包括人工智能、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、VLSI、嵌入式系統等等。該書介紹了數據科學和計算技術在各種應用中的各種有趣和重要的方面,包括深度學習、DNA密碼學、高級模糊MPPT控制器、駕駛輔助和安全系統。該書還包括了解決尖端計算和數據科學問題的新算法及其應用,以實現跨學科研究的視角。

該書討論了深度學習和人工神經網絡範式的最新應用,大數據在電子商務和零售行業中的作用和影響,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。

《數據科學和計算技術的進展:方法和應用》為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的教師和學生提供了豐富的有價值的信息和思考材料。

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管理和技術學院電氣與電子工程系的助理教授和系主任。他還是加爾各答Pailan技術校區的行政負責人。除了工業經驗外,他擁有超過12年的學術經驗。他的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)獲得了學士學位,並在Shibpur的Bengal工程和科學大學獲得了碩士學位。他目前正在印度Shibpu的印度工程科學技術學院攻讀博士學位。

Amitava Choudhury博士是印度德拉敦石油和能源研究學院計算機科學學院的助理教授。他在教學方面有超過十年的經驗,並在研究工作方面有多年的經驗。他擔任IEEE生物醫學交易和《醫學與生物工程與計算》期刊的審稿人。他是IEEE UP分會和印度工程師學會的成員。他的研究興趣包括微機械建模領域的計算幾何、模式識別、字符識別和機器學習。目前,他擔任《集群計算》期刊的客座編輯。他在Jadavpur大學獲得了碩士學位,並在印度Shibpur的印度工程科學技術學院提交了博士論文。

Vikram Kumar Saxena是印度加爾各答Pailan管理和技術學院的助理教授。他已經從事教學工作超過八年。他的研究興趣包括電機、電力系統和功率電子學。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理工大學獲得了學士學位,並在印度Patna的國家技術學院獲得了碩士學位。

Arindam Biswas博士是印度西孟加爾邦阿桑索爾Kazi Nazrul大學礦山和冶金學院的副教授。Biswas博士在教學、研究和行政方面擁有10年的經驗。他在期刊和會議論文中發表了許多技術論文,並出版了六本書、一本編輯卷和一篇書章。Biswas博士獲得了多項研究資助。目前,Biswas博士擔任《集群計算》期刊的副編輯,並擔任《納米科學與納米技術》和《材料科學最新專利》的客座編輯。他在印度和國外組織和主持了多個國際會議。Biswas博士擔任期刊的審稿人,並是印度工程師學會的成員和印度光學學會的常務會員。

Prasenjit Chatterjee博士是印度MCKV工程學院的研究和諮詢主任。他在國際期刊和同行評審的會議上發表了90多篇研究論文。他獲得了多項獎項,包括最佳論文獎、優秀審稿人獎、最佳論文獎、優秀研究者獎和大學金牌獎。他擔任過多個特刊的客座編輯,並編寫和編輯了多本關於決策方法、供應鏈和可持續性建模的書籍。他是《AAP優化和決策理論研究筆記》和《機械和工業工程前沿》的主編。Chatterjee博士是兩種多準則決策方法MARCOS和功能排名的開發者之一。