1st Edition

Artificial Intelligence and Knowledge Processing Improved Decision-Making and Prediction

    386 Pages 148 B/W Illustrations
    by CRC Press

    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.

    Chapter 1. Introduction to Artificial Intelligence
    Mahmoud El Samad, Ghalia Nasserddine and Ahmad Kheir

    Chapter 2. AI and Human Cognizance
    P.Sanjna, D.Sujith, K.Vinodh and B.Vasavi

    Chapter 3. Integration of Artificial Intelligence with IoT for Smarter Systems: A Review
    R. Raj Mohan, N.P. Saravanan and B. Leander

    Chapter 4. Influence of Artificial intelligence in Robotics
    Pingili sravya, Skanda S Tallam,  Shivani Prabhu and  Anil Audumbar Pise

    Chapter 5. A Review on Applications of Artificial Intelligence and Robotics in Medical and Healthcare Sector
    Pokala Pranay Kumar, Dheeraj Anchuri, Pusarla Bhuvan Sathvik and Raul V. Rodriguez

    Chapter 6. Impact of the AI-INDUCED APP ‘BABYLON’ in the Healthcare industry
    Satheesh Kumar M, Tanmai Sree Musalamadugu, Neelam Kumari and Raul V. Rodriquez

    Chapter 7. Identification & Prediction of Pneumonia From CXR Images Using Deep Learning
    Paul Nirmal Kumar K, Raul V Rodriguez and Pranay Kumar

    Chapter 8. Pulmonary Cancer Detection Using Deep Convolutional Networks
    Tejaswini Aala,  Varadaraja Krishna, Megha Gada, Raul V Rodriguez and Abdullah Y. Muaad

    Chapter 9. Breast Cancer prophecy Using Machine Learning algorithm (Random forest, Decision Tree, Logistic Regression Techniques)
    Raja Krishnamoorthy, Arshia Jabeen and Harshitha Methukula

    Chapter 10. Breast cancer histopathological images classification using deep learning
    Laxminarayan Pimpdae, Tanvi Gorantla, Raul V Rodriguez and Jk. Dhivya

    Chapter 11. Machine Learning And Signal Processing Methodologies To Diagnose The Human Knee Joint Disorders – A Computational Analysis
    Murugan R, BAlajee A, Senbagamalar L, Mir Aadil and Shahid Mohammad Ganie

    Chapter 12. Diagnostics and Treatment help to patients at Remote location using Edge and Fog Computing Techniques (EFCT)
    T.Sunil, J Gladson Maria Britto and K.Bharath

    Chapter 13. Image Denoising Using Autoencoders
    Mursal Furqan Kumbhar

    Chapter 14. Genetic Disorder Prediction using Machine Learning Techniques
    Sirisha Alamanda, T. Prathima, Rajesh Kannan K and P. Supreeth Reddy

    Chapter 15. Bayesian Models in Cognitive Neuroscience
    Gabriel Kabanda

    Chapter 16. Knowledge Representation in AI
    Ashwin Kumaar K, Krishna Sai Talupula,  Gogineni Venkata Ashwith and Mitta Chaitanya Kumar Reddy

    Chapter 17. ANN Model for Analytics
    Gaddam Venkat Shobika, S Pavan Siddharth, Vishwa KD, Hemachandran K. and Manjeet Rege

    Chapter 18. AI and Real Time Business Intelligence
    J. Bhuvana, M. Balamurugan and Mir Aadil

    Chapter 19. Introduction to statistics and probability
    Abha Singh and Reham Alahmadi

    Chapter 20. Real Impacts of Machine Learning in Business
    B R S S Sowjanya, Pavan Siddharth and Vishwa KD

    Chapter 21. A study on application of Natural Language Processing (NLP) technique used in business analytics for better management decisions: a Literature Review
    Geetha Manoharan, Subhashini Durai, Gunaseelan Alex Rajesh and Sunitha Purushottam Ashtikar

    Chapter 22. Detection of Polarity in the Native-Language Comments of Social Media Networks
    Sudeshna Sani, Dipra Mitra, Soumen Mondal

    Chapter 23. Machine Learning Techniques for Detecting and Analyzing Online Fake Reviews
    Yashwitha Buchi Reddy, Ch.Prathima, Swetha Jaladi, B.Dinesh and .J.R.Arun Kumar

    Chapter 24. A Study On Application Of Expert System As A Support System For Business Decisions: A Literature Review
    Geetha Manoharan, Subhashini Durai, Gunaseelan Alex Rajesh and Sunitha Purushottam Ashtikar

    Chapter 25. Applications of Artificial Intelligence on Customer Experience and Service Quality of the Banking Sector: An Overview
    Sravani Elaprolu, Channabasava Chola, Varanasi Chandradhar and Raul V Rodriguez

    Chapter 26.  Prediction of Terrorist Attacks over the Globe Using the Global Terrorism Database: A Comparative Analysis of Machine Learning Prediction Algorithms
    Happy and Manoj Yadav

    Chapter 27. Deep Learning Approach for Identifying the Bird Species
    B. Harsha Vardhan,  T. Monish, P. Srihitha Chowdary, S. Ravi Kishan and D. Suresh Babu

    Chapter 28. AI in Energy Sector
    Ashwin Kumaar K, Abhishek Asodu Shetty, Kirti Aija and C Naga Sai Kiran

    Chapter 29. Artificial Intelligence in The Fashion Design and IPRS
    Kaja Bantha Navas Raja Mohamed, Divya Batra, Shivani , Vikor Molnar and Sunny Raj

    Chapter 30. Artificial Intelligence in Education: A Critic on English Language Teaching
    Harishree and Jegan Jayapal

    Chapter 31. Review of Learning Analytics Techniques and its Limitations in the Higher Education: A 21st century paradigm
    Tuhin Utsab Paul and Tanushree Biswas


    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).