Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing

Rana, Arun Kumar, Gupta, Rashmi, Sharma, Sharad

  • 出版商: Apple Academic Press
  • 出版日期: 2024-11-22
  • 售價: $6,700
  • 貴賓價: 9.5$6,365
  • 語言: 英文
  • 頁數: 250
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1774916428
  • ISBN-13: 9781774916421
  • 相關分類: 人工智慧Machine Learning
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems.

The book is divided into sections that deal with

  • Artificial intelligence and machine learning in medicine and healthcare
  • Intelligent decision-making and analysis technology
  • Machine learning and deep learning for agriculture
  • Artificial intelligence and machine learning for security solutions
  • Automation in image processing

Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.

商品描述(中文翻譯)

本書專注於人工智慧與機器學習在先進影像處理、數據分析和網絡安全中的融合,並彙編及討論使用各種人工智慧範式的各種工程解決方案。它探討了近期的技術進展,並考慮如何利用人工智慧、機器學習、深度學習、軟計算和進化計算技術來設計、實施和優化先進的影像處理、數據分析和網絡安全工程解決方案。本書將幫助讀者發展使用數位影像工具解決新問題所需的洞察力。

本書分為幾個部分,內容涵蓋:

- 醫療與健康照護中的人工智慧與機器學習
- 智能決策與分析技術
- 農業中的機器學習與深度學習
- 安全解決方案中的人工智慧與機器學習
- 影像處理中的自動化

《人工智慧與機器學習在先進影像處理、數據分析和網絡安全中的融合》提供了一系列關於人工智慧和機器學習在先進影像處理、數據分析和網絡安全應用的章節。本書必將增進對這些領域感興趣的讀者的知識。

作者簡介

Arun Kumar Rana, PhD, is currently working as Assistant Professor at Department of Computer Science and Engineering, Galgotias College of Engineering & Technology, Greater Noida, India. He has more than 15 years of experience. His area of interest includes image processing, wireless sensor networks, Internet of Things, AI, machine learning, and embedded systems. He has published more than 75 SCI/ESCI/Scopus-index papers in national and international journals and conferences. He has also published many books with national and international publishers like Taylor and Francis, USA. He has attended workshops and faculty development programs and guided six MTech candidates. He serves as a reviewer and editor for several international journals and conferences. He is also a member of the Asia Society of Research. He holds six national and international patents and has conducted many workshops on IoT and its applications in engineering, wireless networks, simulators, etc. He has keen interest in teaching and implementing the latest techniques related to wireless and IoT technology. He has received many international awards from various international organizations. He has been listed in the world scientist ranking in 2021 and 2022. He completed his BTech degree at Kurukshetra University, and MTech and PhD degrees at Maharishi Markandeshwar (Deemed to be University), Mullana, India (NAAC A++).

Rashmi Gupta, PhD, is presently working as Professor in the Electronics and Communication Engineering Department at the Ambedkar Institute of Advanced Communication Technologies and Research, under Government of the National Capital Territory (NCT) of Delhi, India. She also holds the position of Founder Director of the Incubation Center AIACTR-IRF, funded by the Government of Delhi. She has rich experience in industry as well as at various academic institutes. Prof. Gupta has authored over 90 research papers in various renowned international journals and conferences. She has published patents and also has a DST-funded project. Prof. Gupta is associated with many international research organizations as editorial board member and reviewer. Her primary research interests are machine learning, computer vision, and signal and image processing. She completed her ME and PhD degrees in Electronics and Communication Engineering at Delhi College of Engineering, Delhi University, India.

Sharad Sharma, PhD, is presently working as Professor in the Electronics and Communication Engineering Department at Maharishi Markandeshwar (Deemed to be University), Mullana, India. He has a vast experience of more than 20 years of teaching and administrative work. He has conducted many workshops on soft computing and its applications in engineering, wireless networks, simulators, etc. He has keen interest in teaching and implementing the latest techniques related to wireless and mobile communications. He opened a student chapter of IEEE as Branch Counsellor. His research interests are routing protocol design, performance evaluation, and optimization for wireless mesh networks using nature-inspired computing, Internet of Things, space communication, etc. He is a member of various professional bodies. He received his BTech degree in Electronics Engineering from Nagpur University, Nagpur, India, MTech in Electronics and Communication Engineering from Thapar Institute of Engineering and Technology, Patiala, India, and PhD from the National Institute of Technology, Kurukshetra, India.

Ahmed A. Elngar, PhD, is Associate Professor and Head of Computer Science Department, Faculty of Computers, and Artificial Intelligence, Beni-Suef University, Egypt, where he is also Director of the Technological and Informatics Studies Center (TISC). Dr. Elngar is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. Elngar has more than 55 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. He is a member of the Egyptian Mathematical Society and International Rough Set Society. His other research areas include Internet of Things (IoT), network security, intrusion detection, machine learning, data mining, artificial intelligence, big data, authentication, cryptology, healthcare systems, and automation systems. He is an editor and reviewer of many international journals around the world. Dr. Elngar has won several awards, including the Young Researcher in Computer Science Engineering Award from Global Outreach Education Summit in 2019. He has also received Best Young Researcher Award (Male, under 40 years) of the Global Education and Corporate Leadership Awards (GECL-2018), Rajasthan, India.

Sachin Dhawan, PhD, is currently working with the Panipat Institute of Engineering and Technology, Samalkha, India, as an Assistant Professor. Prof. Dhawan is currently pursuing his PhD degree in electronics and communication engineering at AIACT&R under Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India. He was an Assistant Professor at the Geeta Institute of Management and Technology, Kanipla, Kurukshetra, India. He has authored over 20 research papers in various international journals and conferences. He has also published his papers in IEEE conferences and Scopus/SCI-indexed journals. His current research interests include signal and image processing, Internet of Things, artificial intelligence, and machine learning. He is also an Associate Member of the All India Institutions of Engineers and a member of the Asia Society of Research. He serves as a reviewer for several journals and international conferences. He has also published two patents. He completed his BTech degree at Kurukshetra University, Kurukshetra, and MTech degree in electronics and communication engineering at the University Institute of Engineering and Technology under Kurukshetra University, Kurukshetra, India.

作者簡介(中文翻譯)

Arun Kumar Rana, PhD,目前擔任印度大諾伊達的Galgotias工程與技術學院計算機科學與工程系助理教授。他擁有超過15年的經驗,研究領域包括影像處理、無線感測網路、物聯網、人工智慧、機器學習及嵌入式系統。他在國內外期刊和會議上發表了超過75篇SCI/ESCI/Scopus索引的論文,並與美國的Taylor and Francis等國內外出版社出版了多本書籍。他參加過多個工作坊和教師發展計畫,並指導過六名碩士候選人。他擔任多個國際期刊和會議的審稿人及編輯,並且是亞洲研究學會的成員。他擁有六項國內外專利,並舉辦過多場有關物聯網及其在工程、無線網路、模擬器等應用的工作坊。他對教學及實施與無線和物聯網技術相關的最新技術充滿熱情。他曾獲得多個國際獎項,並在2021年和2022年被列入世界科學家排名。他在庫魯克舍特拉大學獲得BTech學位,並在印度Maharishi Markandeshwar(被認定為大學)獲得MTech和PhD學位(NAAC A++)。

Rashmi Gupta, PhD,目前擔任印度德里國家首都區政府下的Ambedkar高級通信技術與研究學院電子與通信工程系教授。她同時擔任由德里政府資助的AIACTR-IRF孵化中心的創始主任。她在業界及多所學術機構擁有豐富的經驗。Gupta教授在多個知名國際期刊和會議上發表了超過90篇研究論文,並擁有專利及一個由DST資助的專案。Gupta教授與多個國際研究組織有關聯,擔任編輯委員會成員及審稿人。她的主要研究興趣包括機器學習、計算機視覺及信號與影像處理。她在德里大學的德里工程學院獲得電子與通信工程的碩士及博士學位。

Sharad Sharma, PhD,目前擔任印度Maharishi Markandeshwar(被認定為大學)電子與通信工程系教授。他擁有超過20年的教學及行政工作經驗,並舉辦過多場有關軟計算及其在工程、無線網路、模擬器等應用的工作坊。他對教學及實施與無線和行動通信相關的最新技術充滿熱情。他作為分會顧問開設了IEEE學生分會。他的研究興趣包括路由協議設計、性能評估及基於自然啟發計算的無線網狀網路的優化、物聯網、空間通信等。他是多個專業機構的成員。他在印度納格浦爾大學獲得電子工程的BTech學位,在印度帕提亞拉的Thapar工程與技術學院獲得電子與通信工程的MTech學位,並在印度庫魯克舍特拉的國立技術學院獲得博士學位。

Ahmed A. Elngar, PhD,是埃及Beni-Suef大學計算機系的副教授及系主任,並擔任技術與資訊研究中心(TISC)主任。Elngar博士是科學創新研究小組(SIRG)的創始人及負責人。他在知名國際期刊上發表了超過55篇科學研究論文,並出版了超過25本書籍。