Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
暫譯: 使用機器學習與深度學習技術設計智能應用程式

Sharad Mangrulkar, Ramchandra, Michalas, Antonis, Shekokar, Narendra

Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques
  • 出版商: CRC
  • 出版日期: 2021-08-16
  • 售價: $6,450
  • 貴賓價: 9.5 折 $6,128
  • 語言: 英文
  • 頁數: 432
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367679795
  • ISBN-13: 9780367679798
  • 相關分類: Machine Learning、DeepLearning

    • 海外代購書籍(需單獨結帳)

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商品描述

Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated - bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction.

Apart from these domains, ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4.0 including:

- Fundamental models, issues and challenges in ML and DL.

- Comprehensive analyses and probabilistic approaches for ML and DL.

- Various applications in healthcare predictions such as mental health, cancer, thyroid disease, lifestyle disease and cardiac arrhythmia.

- Industry 4.0 applications such as facial recognition, feather classification, water stress prediction, deforestation control, tourism and social networking.

- Security aspects of Industry 4.0 applications suggest remedial actions against possible attacks and prediction of associated risks.

- Information is presented in an accessible way for students, researchers and scientists, business innovators and entrepreneurs, sustainable assessment and management professionals.

This book equips readers with a knowledge of data analytics, ML and DL techniques for applications defined under the umbrella of Industry 4.0. This book offers comprehensive coverage, promising ideas and outstanding research contributions, supporting further development of ML and DL approaches by applying intelligence in various applications.

商品描述(中文翻譯)

機器學習 (ML) 和深度學習 (DL) 演算法是工業 4.0 及相關領域中不可或缺的資源，並被視為計算的未來。一個名為神經網絡的子領域，旨在識別和理解數據中的模式，幫助機器以類似人類的方式執行任務。利用 ML 和 DL 開發的智能模型設計精良，經過充分研究，並在許多領域如醫療保健、農業和安全等帶來實際應用。這些演算法只能在數據計算和分析的背景下成功應用。如今，ML 和 DL 創造了潛在的檢測和預測發展條件。

除了這些領域，ML 和 DL 在分析人類社會行為方面也顯得非常有用。隨著可用數據的數量和類型的進步，建立處理數據的手段變得必要，而這正是深度神經網絡顯示其重要性的地方。這些網絡能夠處理金融和影像等領域的大量數據。本書還探討了工業 4.0 中的關鍵應用，包括：

- ML 和 DL 的基本模型、問題和挑戰。
- ML 和 DL 的綜合分析和概率方法。
- 在醫療預測中的各種應用，如心理健康、癌症、甲狀腺疾病、生活方式疾病和心律不整。
- 工業 4.0 應用，如面部識別、羽毛分類、水壓預測、森林砍伐控制、旅遊和社交網絡。
- 工業 4.0 應用的安全性方面，建議對可能的攻擊採取補救措施並預測相關風險。

本書以易於理解的方式向學生、研究人員和科學家、商業創新者和企業家、可持續評估和管理專業人士呈現資訊。

本書使讀者掌握數據分析、ML 和 DL 技術，應用於工業 4.0 的範疇內。本書提供全面的涵蓋、前瞻性的想法和卓越的研究貢獻，支持通過在各種應用中應用智能來進一步發展 ML 和 DL 方法。

作者簡介

Dr. Ramchandra Mangrulkar have received his PhD in Computer Science and Engineering from SGBAU Amravati in 2016 and currently he is working as an Associate Professor at the department of Computing Engineering at DJSCE Mumbai, Maharashtra, India. Prior to this, he was working Associate Professor and Head, department of Computer Engineering, Bapurao Deshmukh College of Engineering Sevagram. Maharashtra, India. Dr. Ramchandra Mangrulkar has published significant number of papers and book chapters in the field related journals and conferences and have also participated as a session chair in various conferences and conducted various workshops on Network Simulator and LaTeX. He also received certification of appreciation from DIG Special Crime Branch Pune and Supretendant of Police and broadcasting media gives wide publicity for the project work guided by him on the topic "Face Recognition System". He also received 3.5 lakhs grant under Research Promotion Scheme of AICTE for the project "Secured Energy Efficient Routing Protocol for Delay Tolerant Hybrid Network". He is active member of Board of Studies in various universities and autonomous institute in India.

Dr. Antonis Michalas have received his PhD in Network Security from Aalborg University, Denmark and currently he is working as an Assistant Professor at the department of computing Science at Tampere University of Technology, faculty of Computing and Electrical Engineering. Prior to this, he was working as an Assistant Professor in Cyber Security at the University of Westminster, London. Earlier, he was working as a postdoctoral researcher at the Security Lab at the Swedish Institute of Computer Science in Stockholm, Sweden. As a postdoctoral researcher at the SCE Labs, he was actively involved in National and European research projects. Dr. Antonis has published significant number of papers in the field related journals and conferences and have also participated as a speaker in various conferences and workshops. His research interest includes private and Secure e-voting system, reputation systems, privacy in decentralized environments, cloud computing, trusted computing and privacy preserving protocols in participatory sensing applications.

Dr. Narendra Shekokar has received his PhD in Engineering (Network Security) from NMIMS University, Mumbai and he is working as a Professor and Head of dept. of Computer Engineering at SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai (Autonomous college affiliated to University of Mumbai). He was a member of Board of Studies at University of Mumbai for more than 5 years and he has also been a member of various committees at University of Mumbai. His total teaching experience is 23years. Dr. Narendra Shekokar is PhD guide for 8 research fellows and more than 25 students at Post Graduation level. He has presented more than 65 papers at International & National conferences and has also published more than 25 research papers in renowned journals. He has received the Minor Research Grant twice from University of Mumbai for his research projects. He has delivered expert talk and chaired a session at numerous events and conferences.

Dr. Meera Narvekar is currently the Head of Department of Computer Engineering at D.J. Sanghvi College of Engineering, Mumbai (Autonomous college affiliated to University of Mumbai). She is a member of Board of Studies at University of Mumbai. She was nominated as a Senate member of the University of Mumbai in 2008. She has a total experience of 20 years in teaching. Dr. Meera has obtained her Ph.D in Computer Science and Technology from SNDT University, Mumbai in the area of Mobile Computing. Her thesis work was on Optimization of data delivery in Mobile Networks. She has published around 50 papers in various international and national journals and conferences. She is currently guiding projects with applications in agriculture, which has also received grant from University of Mumbai. She has delivered talks in various conferences and workshops. She is also in reviewer list and has been session chair of many conferences.

Dr. Pallavi Chavan has received her PhD in Computer Science and Engineering from RTM Nagpur University and he is working as Associate Professor in Information Technology Department, RAIT Nerul, Navi Mumbai, India. Prior to this, she was working Assistant Professor and department of Computer Engineering, Bapurao Deshmukh College of Engineering Sevagram. Maharashtra, India. Her area of research is visual cryptography and secret sharing. She also interestingly works with image processing and soft computing. She is the recipient of UGC Workshop Grant two time for conduction of national level workshops. She is also a recipient of CSIR seminar grant for conduction of national level seminars. Her subjects of interest Are Theory of Computation, Database Management System and Artificial Neural Network and Fuzzy Logic. She is the follower of spiritual approach of Bramhakumaris For Rajyoga Meditation.

作者簡介(中文翻譯)

Dr. Ramchandra Mangrulkar於2016年在SGBAU Amravati獲得計算機科學與工程的博士學位，目前擔任印度馬哈拉施特拉邦孟買DJSCE計算工程系的副教授。在此之前，他曾擔任印度馬哈拉施特拉邦Sevagram的Bapurao Deshmukh工程學院計算機工程系的副教授及系主任。Dr. Ramchandra Mangrulkar在相關領域的期刊和會議上發表了大量論文和書籍章節，並在各種會議中擔任會議主席，還舉辦了多個有關網路模擬器和LaTeX的工作坊。他還獲得了來自Pune DIG特殊犯罪分支和警察局長的感謝證書，並且他的專案工作“人臉識別系統”在廣播媒體上獲得了廣泛的宣傳。他在AICTE的研究促進計畫下獲得了35萬盧比的資助，用於“延遲容忍混合網路的安全能源高效路由協議”專案。他是印度多所大學和自主機構的學術委員會活躍成員。

Dr. Antonis Michalas在丹麥奧爾堡大學獲得網路安全的博士學位，目前擔任坦佩雷科技大學計算與電氣工程學院計算科學系的助理教授。在此之前，他曾在倫敦的西敏寺大學擔任網路安全的助理教授。更早之前，他在瑞典斯德哥爾摩的瑞典計算機科學研究所的安全實驗室擔任博士後研究員。作為SCE實驗室的博士後研究員，他積極參與國家和歐洲的研究專案。Dr. Antonis在相關領域的期刊和會議上發表了大量論文，並在各種會議和工作坊中擔任演講者。他的研究興趣包括私密和安全的電子投票系統、聲譽系統、去中心化環境中的隱私、雲計算、可信計算以及參與式感測應用中的隱私保護協議。

Dr. Narendra Shekokar在NMIMS大學獲得工程（網路安全）博士學位，目前擔任SVKM的Dwarkadas J. Sanghvi工程學院計算機工程系的教授及系主任（該學院為孟買大學的自主學院）。他在孟買大學的學術委員會任職超過5年，並且曾擔任孟買大學的多個委員會成員。他的教學經驗總計23年。Dr. Narendra Shekokar是8名研究員和25名以上研究生的博士生導師。他在國際和國內會議上發表了超過65篇論文，並在知名期刊上發表了超過25篇研究論文。他曾兩次獲得孟買大學的次要研究資助，用於他的研究專案。他在多個活動和會議中發表專題演講並擔任會議主席。

Dr. Meera Narvekar目前是D.J. Sanghvi工程學院計算機工程系的系主任（該學院為孟買大學的自主學院）。她是孟買大學學術委員會的成員。她於2008年被提名為孟買大學的參議院成員。她在教學方面擁有20年的總經驗。Dr. Meera在SNDT大學獲得計算機科學與技術的博士學位，研究領域為行動計算。她的論文工作是關於行動網路中的數據傳遞優化。她在各種國際和國內期刊及會議上發表了約50篇論文。她目前指導的專案應用於農業，並獲得了孟買大學的資助。她在各種會議和工作坊中發表演講，並且是多個會議的審稿人及會議主席。

Dr. Pallavi Chavan在RTM Nagpur大學獲得計算機科學與工程的博士學位，目前擔任印度Navi Mumbai的RAIT Nerul資訊技術系的副教授。在此之前，她曾在印度馬哈拉施特拉邦Sevagram的Bapurao Deshmukh工程學院擔任計算機工程系的助理教授。她的研究領域為視覺密碼學和秘密分享。她也有興趣從事影像處理和軟計算的工作。她曾兩次獲得UGC工作坊資助，用於舉辦全國性工作坊。她還獲得了CSIR研討會資助，用於舉辦全國性研討會。她的興趣科目包括計算理論、資料庫管理系統、人工神經網路和模糊邏輯。她是Bramhakumaris的靈性修行者，專注於拉傑瑜伽冥想。

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