Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications
暫譯: 智能系統與可持續計算模型:概念、架構與實務應用

Nagarajan, Rajganesh, Narayanasamy, Senthil Kumar, Thirunavukarasu, Ramkumar

相關主題

商品描述

The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as computer science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability.

Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. It explores novel solutions for such pressing problems as smart healthcare ecosystems, energy efficient distributed computing, affordable renewable resources, mitigating financial risks, monitoring environmental degradation, and balancing climate conditions. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools. The book covers such areas as:

  • Intelligent and adaptive computing for sustainable energy, water, and transportation networks
  • Blockchain for decentralized systems for sustainable applications, systems, and infrastructure
  • IoT for sustainable critical infrastructure
  • Explainable AI (XAI) and decision-making models for computational sustainability
  • Sustainable development using edge computing, fog computing and cloud computing
  • Cognitive intelligent systems for e-learning
  • Artificial Intelligence and machine learning for large scale data
  • Green computing and cyber physical systems

Real-time applications in healthcare, agriculture, smart cities, and smart governance.

By examining how intelligent systems can build a sustainable society, the book presents systems solutions that can benefit researchers and professionals in such fields as information technology, health, energy, agricultural, manufacturing, and environmental protection.

商品描述(中文翻譯)

智能系統與可持續性領域在研究界中逐漸獲得動力。這些領域吸引了計算機科學、資訊技術、電氣工程及其他相關工程學科的研究興趣。由於物聯網(IoT)、人工智慧(Artificial Intelligence)、大數據(Big Data)、區塊鏈(blockchain)、深度學習(deep learning)和機器學習(machine learning)的最新進展,應用於可持續性的智能系統的承諾正逐漸成為現實。智能系統的出現催生了各種技術和算法,利用集成方法為與可持續性相關的複雜問題實施新穎的解決方案。

《智能系統與可持續計算模型:概念、架構與實際應用》探討了這種集成方法以建立可持續的未來。它探索了針對智能醫療生態系統、能源高效的分散式計算、可負擔的可再生資源、減輕金融風險、監測環境退化及平衡氣候條件等緊迫問題的新穎解決方案。本書幫助研究人員將智能系統應用於計算可持續性模型,以提出有效的方法、技術和工具。本書涵蓋的領域包括:

- 可持續能源、水資源和交通網絡的智能與自適應計算
- 用於可持續應用、系統和基礎設施的去中心化系統區塊鏈
- 用於可持續關鍵基礎設施的物聯網
- 可解釋的人工智慧(XAI)和計算可持續性的決策模型
- 使用邊緣計算、雲端計算和霧計算的可持續發展
- 用於電子學習的認知智能系統
- 用於大規模數據的人工智慧和機器學習
- 綠色計算和網路物理系統

在醫療、農業、智慧城市和智慧治理中的即時應用。

通過檢視智能系統如何建立可持續社會,本書提出的系統解決方案可以惠及資訊技術、健康、能源、農業、製造和環境保護等領域的研究人員和專業人士。

作者簡介

Dr. N. Rajganesh is presently working as Associate Professor in the Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Tamilnadu, India. He obtained Ph. D degree from Anna University during the year 2018 for his thesis entitled "Fuzzy based Intelligent Semantic Cloud Service Discovery for Effective Utilization of Services". Having 18 years of experience in Teaching and contributes research findings in various reputed international Journals. During his career, he has attended more than 20 Faculty Development Program/Workshop/Seminar, which are sponsored by AICTE, UGC, ISTE, and Anna University. He has functioned as a resource person in more than 10 Faculty Development Programme and organized seminars and workshops. He is functioning as an active reviewer for top-notch journals from IEEE, Springer, Elsevier, and other publishers.

Dr. Senthil Kumar N is an Assistant Professor (Senior) in the Department of Computer Applications, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology (VIT), Vellore. He has been working at VIT for more than 15+ years and totally, he has 18+ years of teaching experience. Currently, he is the RAAC coordinator for the school. Prior to that, he was the Proctor Coordinator and Project Coordinator of the school. He has delivered guest lectures, special talks and webinars at various engineering colleges on the topics of Natural Language Processing, Big Data Analytics, Data Science and Cyber Security. His research interests are NLP, Machine Learning and Semantic Web. In this connection, he has published more research articles in SCOPUS indexed journals and also published research papers at various conferences as well. He is an avid reader and always encourages others to read a lot on the subject that they are really inclined.

Dr. T. Ramkumar is presently working as Professor in the School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India. He obtained Ph. D degree from Anna University, Chennai during the year 2010 for his thesis entitled "Synthesizing Global Association Rules in Multi-Database Mining". Having 22 years of experience in Higher education & research, regularly he contributes papers in various reputed international Journals. Some of his research works have been published in journals from Springer, Elsevier, Wiley, World-Scientific and other publishers. He has functioned as resource person in more than 20 Faculty Development Programme and organized seminars and workshops which are funded by ISTE, AICTE and others. He has successfully guided three research scholars to lead to Ph. D degree.

Dr. C. Pethuru Raj is working as a Vice President and Chief Architect at Reliance Jio Platforms Ltd. (JPL) Bangalore. Previously. worked in IBM Global Cloud Centre of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). I have gained over 22 years of IT industry experience and 9 years of research experience. Finished the CSIR-sponsored PhD degree at Anna University, Chennai and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. After that, I was granted two international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He is focusing on some of the emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI) Model Optimization Techniques, Prompt Engineering for Large Language Models (LLMs), Efficient, Explainable and Edge AI, Blockchain, Digital Twins, Cloud-native computing, Edge and Serverless computing, Site Reliability Engineering (SRE), Platform Engineering, 5G, etc.

作者簡介(中文翻譯)

Dr. N. Rajganesh 目前擔任印度泰米爾納德邦斯里佩倫布杜爾的斯里維克特斯瓦拉工程學院計算機科學與工程系的副教授。他於2018年在安娜大學獲得博士學位,論文題目為「基於模糊的智能語義雲服務發現以有效利用服務」。他擁有18年的教學經驗,並在多個知名國際期刊上發表研究成果。在他的職業生涯中,他參加了超過20個由AICTE、UGC、ISTE和安娜大學贊助的教師發展計劃/研討會/講習會。他在超過10個教師發展計劃中擔任資源人員,並組織了研討會和工作坊。他目前是IEEE、Springer、Elsevier及其他出版商的頂尖期刊的活躍審稿人。

Dr. Senthil Kumar N 是維洛爾科技學院(VIT)計算機應用系的助理教授(高級)。他在VIT工作超過15年,總共擁有超過18年的教學經驗。目前,他是該學院的RAAC協調員。在此之前,他擔任學院的監考協調員和項目協調員。他在各大工程學院就自然語言處理、大數據分析、數據科學和網絡安全等主題進行了客座講座、特別演講和網絡研討會。他的研究興趣包括自然語言處理、機器學習和語義網。在這方面,他在SCOPUS索引的期刊上發表了多篇研究文章,並在各種會議上發表了研究論文。他是一位熱愛閱讀的人,並總是鼓勵他人多閱讀他們真正感興趣的主題。

Dr. T. Ramkumar 目前擔任維洛爾科技學院計算機科學與工程系的教授。他於2010年在印度金奈的安娜大學獲得博士學位,論文題目為「在多數據庫挖掘中合成全球關聯規則」。他在高等教育和研究方面擁有22年的經驗,定期在多個知名國際期刊上發表論文。他的一些研究成果已發表在Springer、Elsevier、Wiley、World-Scientific及其他出版商的期刊上。他在超過20個教師發展計劃中擔任資源人員,並組織了由ISTE、AICTE等資助的研討會和工作坊。他成功指導了三位研究學者獲得博士學位。

Dr. C. Pethuru Raj 擔任Reliance Jio Platforms Ltd. (JPL) 班加羅爾的副總裁和首席架構師。之前,他曾在IBM全球雲卓越中心(CoE)、Wipro諮詢服務(WCS)和羅伯特·博世企業研究(CR)工作。他擁有超過22年的IT行業經驗和9年的研究經驗。在安娜大學完成了CSIR贊助的博士學位後,繼續在印度科學研究所(IISc)計算機科學與自動化系進行UGC贊助的博士後研究。之後,他獲得了兩個國際研究獎學金(JSPS和JST),在兩所領先的日本大學擔任研究科學家3.5年。他專注於一些新興技術,如物聯網(IoT)、人工智慧(AI)模型優化技術、大型語言模型(LLMs)的提示工程、高效、可解釋的邊緣AI、區塊鏈、數位雙胞胎、雲原生計算、邊緣和無伺服器計算、網站可靠性工程(SRE)、平台工程、5G等。