Research Advances in Intelligent Computing

Since the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to perform various tasks. As a result, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make these machines as intelligent as human beings. Artificial intelligence (AI) came up as a way of making a computer or computer software think in a similar manner to the way that humans think. AI is inspired by the study of human brain, including how humans think, learn, decide, and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or intelligent computing (IC).

An IC system has the capabilities of reasoning, learning, problem-solving, perception, and linguistic intelligence. IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of IC has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Nowadays, IC is also useful for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agricultural science, predicting market growth in economics, and weather forecasting.

For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes recent research that has been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems, and so on. This book discusses recent theoretical, algorithmic, simulation, and implementation-based advancements related to IC.

自從電腦和其他類似的機器發明以來，科學家和研究人員一直在努力提升它們執行各種任務的能力。因此，從多樣的工作領域、多功能工作、處理速度和體積縮小等方面來看，電腦的能力正在以指數級增長。現在，我們正致力於使這些機器變得像人類一樣智能。人工智能（AI）作為一種使計算機或計算機軟件以與人類思考方式相似的方式思考的方法應運而生。AI受到人類大腦研究的啟發，包括人類思考、學習、決策和解決問題時的行為。這項研究的成果是開發智能軟件和系統或智能計算（IC）的基礎。

IC系統具有推理、學習、解決問題、感知和語言智能的能力。IC系統包括AI技術以及其他新興技術，使系統變得智能。IC的應用在計算機科學的幾乎每個子領域中都有所見，例如網絡、軟件工程、遊戲、自然語言處理、計算機視覺、圖像處理、數據科學、機器人技術、專家系統和安全性。如今，IC也在解決各種不同領域的複雜問題上非常有用，例如在醫學科學中預測疾病、在農業科學中預測土地肥沃度或作物產量、在經濟學中預測市場增長以及天氣預報。

基於這些原因，本書介紹了AI技術在IC的框架下的進展。在這個背景下，本書包括在機器學習、神經網絡、深度學習、演化算法、遺傳算法、群體智能、模糊系統等領域進行的最新研究。本書討論了與IC相關的最新理論、算法、模擬和實施方面的進展。

Dr. Anshul Verma received M.Tech. and Ph.D. degrees in Computer Science & Engineering from ABV-Indian Institute of Information Technology and Management Gwalior, India. He has done Post-doctorate from Indian Institute of Technology Kharagpur, India. Currently, he is serving as Assistant Professor in Department of Computer Science, Institute of Science, Banaras Hindu University Varanasi, India. He has also served as faculty member in Computer Science & Engineering Department at Motilal Nehru National Institute of Technology (MNNIT) Allahabad and National Institute of Technology (NIT) Jamshedpur, India. His research interests include IoT, Mobile ad-hoc networks, Distributed systems, Formal verification, and Mobile computing. He is serving as Editor of the Journal of Scientific Research of the Banaras Hindu University.

Dr. Pradeepika Verma received her Ph.D. degree in Computer Science & Engineering from Indian Institute of Technology (ISM) Dhanbad, India. She has received M.Tech in Computer Science & Engineering from Banasthali University, Rajasthan, India. Currently, she is working as Post-Doctoral Fellow in Department of Computer Science & Engineering at Indian Institute of Technology (BHU), Varanasi, India. She is also Associate Professor in Department of Computer Science at K L Deemed to be University, Andhra Pradesh, India and is presently on study leave. Prior to this, she has worked as Assistant Professor in Department of Computer Science & Engineering at Pranveer Singh Institute of Technology, Kanpur, India and as Faculty member in Department of Computer Application at Institute of Engineering and Technology, Lucknow, India. Her current research interests include IoT, Natural Language Processing, Optimization Approaches, and Information Retrieval.

Dr. Kiran Kumar Pattanaik holds Bachelor degree in Electrical & Electronics Engineering followed by Master and Doctorate in Computer Science & Engineering. He is presently working as Associate Professor at ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is enthusiastic about exploring various engineering application domains involving Distributed and Mobile Computing, Wireless Sensor Network protocols, IoT, and Edge Computing. His Wireless Sensor Network laboratory is equipped with the necessary computing facilities (simulation and hardware) and is accessible round the clock for learning. The competitive ambiance of the laboratory is instrumental for a number of public funded research projects and high impact factor research publications. Dr. Pattanaik (Senior Member of IEEE) is a reviewer for several leading Journals in the areas of communication and networking.

Dr. Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Msida, Malta. He is also an honorary lecturer at the University of Liverpool, UK. He has also worked as a researcher at the Nanyang Technological University, Singapore and the University of Ulster, UK. He is skilled in solving complex problems using machine learning and data analytics, especially from medicine and healthcare domain. He has published over 90 technical papers in refereed high impact journals, conferences and books and has more than 622 citation count to publications, and some of his articles awarded best paper awards. He has delivered more than 20 keynote speeches in different countries, organised/chaired/co-chaired 16 international conferences and contributed as a technical committee member or a reviewer of several high impact journals and reputed conferences. He is awarded research studentship in Healthcare Modelling to carry out his PhD research studies in the faculty of computing and engineering at the University of Ulster, UK. He completed his Post Graduate in Information Technology from ABV-IIITM, Gwalior, India and his first degree in Electronics and Communication Engineering from Barkatullah University, Bhopal, India. He has also consulted numerous public and private organisations for their information system implementations.

Dr. Anshul Verma在印度ABV-印度信息技術和管理學院獲得計算機科學與工程的碩士和博士學位。他在印度印度理工學院哈拉格普爾分校進行了博士後研究。目前，他在印度瓦拉納西的班納拉斯印度大學科學學院的計算機科學系擔任助理教授。他還曾在印度莫提拉爾·內赫魯國家技術學院（MNNIT）阿拉哈巴德分校和印度國家技術學院（NIT）賈姆舍德普爾分校的計算機科學與工程系擔任教職。他的研究興趣包括物聯網、移動自組網絡、分佈式系統、形式驗證和移動計算。他擔任班納拉斯印度大學科學研究期刊的編輯。

Dr. Pradeepika Verma在印度印度理工學院（ISM）丹巴德分校獲得計算機科學與工程的博士學位。她在印度拉賈斯坦邦的巴納斯塔利大學獲得計算機科學與工程的碩士學位。目前，她在印度瓦拉納西的印度理工學院（BHU）的計算機科學與工程系擔任博士後研究員。她還是印度安得拉邦K L大學計算機科學系的副教授，目前正在休學。在此之前，她曾在印度坎普爾的普蘭維爾·辛格技術學院的計算機科學與工程系擔任助理教授，並在印度勒克瑙的工程與技術學院的計算機應用系擔任教職。她目前的研究興趣包括物聯網、自然語言處理、優化方法和信息檢索。

Dr. Kiran Kumar Pattanaik擁有電氣與電子工程學士學位，並獲得計算機科學與工程的碩士和博士學位。他目前在印度ABV-印度信息技術和管理學院擔任副教授。他熱衷於探索涉及分佈式和移動計算、無線傳感器網絡協議、物聯網和邊緣計算的各種工程應用領域。他的無線傳感器網絡實驗室配備了必要的計算設備（模擬和硬件），並且全天候可供學習使用。實驗室的競爭氛圍對於許多公共資助的研究項目和高影響因子的研究出版物至關重要。Pattanaik博士（IEEE高級會員）是通信和網絡領域多個領先期刊的審稿人。

Dr. Lalit Garg是馬爾他大學計算機信息系的高級講師，位於馬爾他的姆西達。他還是英國利物浦大學的名譽講師。他曾在新加坡南洋理工大學和英國阿爾斯特大學擔任研究員。他擅長使用機器學習和數據分析解決複雜問題，尤其是醫學和醫療領域的問題。他在被審查的高影響力期刊、會議和書籍上發表了90多篇技術論文，並且有超過622次引用。他在不同國家發表了20多次主題演講，組織/主持/共同主持了16個國際會議，並作為多個高影響力期刊和知名會議的技術委員會成員或審稿人做出了貢獻。他獲得了在英國阿爾斯特大學計算機和工程學院進行醫療建模的研究生獎學金，進行博士研究。他在印度ABV-IIITM獲得了信息技術的研究生學位，並在印度的電子與通信工程學士學位。