Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (eBook, PDF)

ICMISC 2022
Redaktion: Gunjan, Vinit Kumar; Zurada, Jacek M.

• Format: PDF

Produktbeschreibung

The book is a collection of best selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (ICMISC 2022) held during 28 - 29 March 2022 at CMR Institute of Technology, Hyderabad, Telangana, India. This book will contain the articles on current trends of machine learning, internet of things, and smart cities applications emphasizing on multi-disciplinary research in the area of artificial intelligence and cyber physical systems. The book is a great resource for scientists, research scholars and PG students to formulate their research ideas and find the future directions in these areas. Further, this book serves as a reference work to understand the latest technologies by practice engineers across the globe.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 689
• Erscheinungstermin: 23. Februar 2023
• Englisch
• ISBN-13: 9789811960888
• Artikelnr.: 67506574

Autorenporträt

Dr. Vinit Kumar Gunjan is Associate Professor in Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad).  An active researcher; published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. Awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. Senior Member of IEEE, Additional Secretary, Vice Chair Computational Intelligence Society and An active Volunteer of IEEE Hyderabad section; volunteered in the capacity of Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. Was involved as organizer in many technical & non-technical workshops, seminars & conferences of IEEE & Springer. During the tenure He had an honour of working with top leaders of IEEE and awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.  Dr. Jacek Zurada (SM'85, F'96, LF'14) is Professor of Electrical and Computer Engineering and Director of the Computational Intelligence Laboratory at the University of Louisville, Louisville, Kentucky, USA, where he served as Department Chair and a Distinguished University Scholar. He was Professor at Princeton University, Northeastern University, Auburn University, the National University of Singapore, Nanyang Technological University in Singapore, Chinese University of Hong Kong, the University of Chile, Santiago, Toyohashi University of Technology, Japan, the University of Stellenbosch, South Africa, the University of Marie-Curie, Paris, France, and was Postdoctoral Fellow at the Swiss Federal Institute of Technology, Zurich, Switzerland.

Inhaltsangabe

Prognostic Investigation into Melancholic Maladies in Hinterlands.- Security Threats in Healthcare Systems.- A Review on Behavioral Biometric GAIT Recognition.- Vital Role of 2D CNN in Brain Malignancy.- Design and Development of IoT based Intelligent Cattle Shed Management.- Review Paper on Technologies to curb Noise Pollution in No Honking Zones.- Radial Basis Neural Network Trained Minimum Snap Trajectory for Quadrotor.- Detection of Fraudulent Credit Card Transactions in Real-Time using SparkML and Kafka.- Robust and Scalable Network Monitoring System using Apache Spark.- Managing data protection and privacy on cloud.- Human Posture Monitoring.- Automation in Project Management 4.0 with Artificial Intelligence.- A state of art Approach to Question Generation Techniques.- Intelligent Information System for Detection of Covid-19 based on AI.- Plant Quality Assessment and Disease Identification System using AI.- Image-based Plant Disease Detection and classification using Deep Convolution Neural Network.