Artificial Intelligence in Information and Communication Technologies, Healthcare and Education A Roadmap Ahead

Artificial Intelligence in Information and Communication Technologies, Healthcare and Education: A Roadmap Ahead is designed as a reference text and discusses inter-dependability, communication and effective control for the betterment of services through artificial intelligence (AI), as well as the challenges and path ahead for AI in computing and control across different domains of business and human life. The book accommodates technologies and application domains including backbone hardware, systems and methods for deployment, which help incorporating intelligence through different supervised and probabilistic learning approaches.

Features

• The book attempts to establish a connection between hardware, software technologies and algorithmic intelligence for data analysis and decision support in domains such as healthcare, education and other aspects of business and mobility.
• It presents various recent applications of artificial intelligence in information and communication technologies such as search and optimization methods, machine learning, data representation and ontologies, and multi-agent systems.
• The book provides a collection of different case studies with experimentation results than mere theoretical and generalized approaches.
• Covers most of the applications using the trending technologies like machine learning (ML), data science (DS), Internet of Things (IoT), and underlying information and communication technologies.

The book is aimed primarily at advanced undergraduates and postgraduate students studying computer science, computer applications, and information technology. Researchers and professionals will also find this book useful.

Section 1: Convergence of AI, IoT and Communication Technologies for Futuristic Innovations

1. Convergence of Blockchain Technology and Artificial Intelligence. 2. Low Cost Single Phase Smart Energy Meter Using GSM Module. 3 Yoga Posture Detection Using Machine Learning. 4. Smart Health Prediction System Using IoT. 5. Real Time CNN- Based Face Mask Detection System. 6. AI Powered Covid Detection App using Chest X-ray

Section 2:Advances in Sensor and Chip design, Controls, Communication and Signal Processing

7. Software-Defined Networking: Research Challenges. 8. Novel Channel Allocation Technique for Deadline driven Edge Computing Framework. 9. Optimal Cluster Head Selection in Wireless Sensor Network via Improved Moth Search Algorithm. 10. Camera Calibration Using Robust Intrinsic and Extrinsic Parameters. 11. Audio based Recognition of Bird Species using Deep Learning.

Section 3:Data Science and Analysis for Intelligence and Enterprise

12. Development of Mathematical Model for Milk Evaporation Process. 13. Hate Speech Detection and Analysis using Machine Learning. 14. Bibliometric Survey on Personality Detection for Resume Filtration using Artificial Intelligence. 15. A Brief Bibliometric Survey of Sign Language Recognition using Gesture. 16. Oxyportal: Oxygen Demand Forecasting with Data Analytics. 17. Review on Text To Speech Synthesis System for Hindi Language. 18. Weibull Distribution Parameters Estimation using Computer Software. 19 Navigation Systems of Indoor Mobile Robot

Dr. Parikshit N. Mahalle is a senior member IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has23 + years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, SPPU and various Universities and autonomous colleges across India. He has 9 patents, 200+ research publications (Google Scholar citations-2250 plus, H index-22 and Scopus Citations are 1190 plus with H index -16) and authored/edited 42+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global –International Journal of Rough Sets and Data Analysis, Associate Editor for IGI Global - International Journal of Synthetic Emotions, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is a recognized PhD guide of SSPU, Pune, and guiding 7 PhD students in the area of IoT and machine learning. Recently, FIVE students have successfully defended their PhD. He is also the recipient of "Best Faculty Award" by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level. He is also the recipient of the best faculty award by Cognizant Technology Solutions.

Dr. Rajendra S. Talware completed his Doctoral studies from College of Engg. Pune (COEP) under Pune University, Pune in Electronics and Telecommunication (E&TC) Engg. He has varied experience encompassing industry, software consultancy, teaching