Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction
暫譯: 人工智慧與知識處理：提升決策與預測能力
K, Hemachandran, Rodriguez, Raul V., Subramaniam, Umashankar
相關主題
商品描述
Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors.
Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book.
This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning.
商品描述(中文翻譯)
人工智慧與知識處理在各種自動化產業中扮演著至關重要的角色，並在將傳統產業轉型為基於人工智慧的工廠方面發揮著作用。本書作為一本指南，融合了人工智慧在各個領域的基礎知識，包括機器學習、深度學習、人工神經網絡和專家系統，並擴展其在各行各業的應用。
《人工智慧與知識處理：改善決策與預測》討論了設計新的人工智慧演算法，以將一般應用轉換為基於人工智慧的應用。它突顯了各種應用中使用的不同機器學習和深度學習模型，這些應用涵蓋了醫療保健與健康、農業和汽車等領域。本書提供了對快速增長和發展的人工智慧應用領域的概述，並結合了工程知識和商業分析。書中包含了多個不同領域的即時案例研究，如影像處理、文本挖掘、醫療保健、金融、數位行銷和人力資源分析。本書還介紹了統計背景和概率框架，以增強對連續分佈的理解。主題包括集成模型、深度學習模型、人工神經網絡、專家系統和基於決策的系統，這些內容構成了本書的完整性。
這本多位作者共同貢獻的書籍是研究人員、學者、技術專家、工業界人士、實務工作者以及所有希望探索人工智慧、知識處理、深度學習和機器學習應用的人的寶貴資源。
作者簡介
Hemachandran K is currently working as a Professor in the Department of Analytics and Artificial Intelligence at the School of Business, Woxsen University, Hyderabad, Telangana, India. He is a passionate teacher with 14 years of teaching experience and 5 years of research experience. His research interest are Machine Learning, Deep Learning, Computer Vision, NLP, Knowledge Engineering and Decision Support Systems. He has three patents to his credentials. He has more than 20 journals and international conference publications to his credit and has served as a resource person at various national and international scientific conferences.
Raul Villamarin Rodriguez is the Professor, School of Business, Woxsen University, Hyderabad, Telangana, India. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation applications in Human Resources. Fmr. Co-CEO at Irians Research Institute. His areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. He has co-authored two reference books and has more than 70 publications to his credit.
Umashankar Subramaniam is an Associate Professor in Electrical Engineering at the College of Engineering, Prince Sultan University, Riyadh Saudi Arabia. Previously he has worked as an Associate Professor and Head of the Department of Energy, VIT, Vellore. He has more than, 15 years of teaching, research, and industrial R&D experience. He has published more than 250 research papers in national and international journals and prestigious conferences. He is an Editor of IEEE Access, Heliyon, and other high-impact journals.
Valentina E. Balas is a Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and international conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling, and Simulation. She is the Editor-in-Chief to the International Journal of Advanced Intelligence Paradigms (IJAIP) and to the International Journal of Computational Systems Engineering (IJCSysE).
作者簡介(中文翻譯)
Hemachandran K 目前擔任印度泰倫加納邦海德拉巴Woxsen大學商學院分析與人工智慧系的教授。他是一位充滿熱情的教師，擁有14年的教學經驗和5年的研究經驗。他的研究興趣包括機器學習（Machine Learning）、深度學習（Deep Learning）、計算機視覺（Computer Vision）、自然語言處理（NLP）、知識工程（Knowledge Engineering）和決策支持系統（Decision Support Systems）。他擁有三項專利，並在20多篇期刊和國際會議上發表過論文，曾在各種國內外科學會議中擔任資源人員。
Raul Villamarin Rodriguez 是印度泰倫加納邦海德拉巴Woxsen大學商學院的教授。他擁有人工智慧（Artificial Intelligence）和人力資源中的機器人流程自動化（Robotics Process Automation）應用的博士學位。曾任Irians Research Institute的聯合執行長。他的專業領域和興趣包括機器學習、深度學習、自然語言處理、計算機視覺、機器人流程自動化、多代理系統（Multi-agent Systems）、知識工程和量子人工智慧（Quantum Artificial Intelligence）。他共同撰寫了兩本參考書籍，並擁有70多篇出版物。
Umashankar Subramaniam 是沙烏地阿拉伯利雅德Prince Sultan大學電機工程系的副教授。他曾擔任VIT Vellore能源系的副教授及系主任，擁有超過15年的教學、研究和工業研發經驗。他在國內外期刊和知名會議上發表了超過250篇研究論文，並擔任IEEE Access、Heliyon及其他高影響力期刊的編輯。
Valentina E. Balas 是羅馬尼亞阿拉德‘Aurel Vlaicu’大學工程學院自動化與應用軟體系的教授。她在提米什瓦拉理工大學獲得應用電子學和電信的優等博士學位（Cum Laude）。Balas博士在經過審核的期刊和國際會議上發表了超過350篇研究論文。她的研究興趣包括智能系統（Intelligent Systems）、模糊控制（Fuzzy Control）、軟計算（Soft Computing）、智能感測器（Smart Sensors）、信息融合（Information Fusion）、建模和模擬（Modeling and Simulation）。她是《國際先進智能範式期刊》（International Journal of Advanced Intelligence Paradigms, IJAIP）和《國際計算系統工程期刊》（International Journal of Computational Systems Engineering, IJCSysE）的主編。
