1st Edition
Artificial Intelligence and Knowledge Processing Improved Decision-Making and Prediction
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- Available for pre-order on August 23, 2023. Item will ship after September 13, 2023
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
Biography
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).
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