Smart Urban Computing Applications (eBook, ePUB)

Redaktion: Jabbar, M. A.; Ortiz-Rodriguez, Fernando; Tiwari, Sanju

• Format: ePub

Produktbeschreibung

This book reports research advances in the area of deep learning, IoT and urban computing, and describes new insights based on deep learning and IoT for urban computing.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 256
• Erscheinungstermin: 7. Februar 2023
• Englisch
• ISBN-13: 9781000846478
• Artikelnr.: 66978795

Autorenporträt

M.A. Jabbar is a Professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad and Telangana, India. He obtained his Doctor of Philosophy (PhD) from JNTUH, Hyderabad and Telangana, India. He has been teaching for more than 20 years. His research interests include artificial intelligence, big data analytics, bio-informatics, cyber security, machine learning, attack graphs, and intrusion detection systems. He has published more than 57 papers in various journals and conferences. He has served as a technical committee member for more than 70 international conferences, and has edited 5 books with various leading publishers. He is a senior Member of IEEE and Senior member of ACM, Governing body member, Internet Society India Hyderabad Chapter. Presently he is acting as a Chair, IEEE CS chapter, Hyderabad Section. Sanju Tiwari is a Senior Researcher at Universidad Autonoma de Tamaulipas (70-year-old University), Mexico. She is a DAAD Post-Doc-Net AI Fellow for 2021. She is an Adjunct Professor at Vardhman Engineering College, Hyderabad in the Computer Science department. She has also been appointed as PhD co-supervisor at Rai University, Gujarat, India. She is a senior member of IEEE as a SMIEEE. She has worked as a Post-Doctoral Researcher in the Ontology Engineering Group, Universidad Polytecnica De Madrid, Spain. Prior to this, she worked as a Research Associate for a sponsored research project "Intelligent Real-time Situation Awareness and Decision Support System for Indian Defence" funded by DRDO, New Delhi in the Department of Computer Applications, National Institute of Technology, Kurukshetra. In this project, she has developed and evaluated a Decision Support System for Indian Defence. Her current research interests include ontology engineering, knowledge graphs, linked data generation and publication, semantic web, reasoning with SPARQL, and machine intelligence. Fernando Ortiz-Rodriguez is a full professor at Tamaulipas Autonomous University, Member of National Research Council level C, and director of the Social Research Centre at UAT, Mexico. He is a member of the Information Technology research group and part of the Knowledge Graph and Semantic Web Community. He has published, journal articles, book chapters, and has acted as a book editor for reputed editorials. He has also presented many conference articles in Europe, the United States, and Mexico and is the main chair and organizer of the KGSWC multiseries conference.

Inhaltsangabe

1. Requirements Analysis of Data Analytics Software Within the Scope of a
Smart University 2. Performance Analysis of Deep Learning Models for
Reidentification of a Person in Public Surveillance Systems 3. Crash
Recovery and Accident Prediction Using an IoT Based Black Box System 4.
Exploiting Trajectory Data to Improve Smart City Services 5. An End-End
Framework for Autonomous Driving Cars in a CARLA Simulator 6. IoT and
Artificial Intelligence Techniques for Public Safety and Security 7. Deep
Learning Approaches for the Classification of IoT Based Hyperspectral
Images 8. Artificial Intelligence and IoT for a Smart City 9. Intelligent
Facility Management System for Self-sustainable Homes in Smart Cities: An
Integrated Approach 10. Low-cost Embedded System for The Monitoring Of
Environmental Pollution 11. Case Study on Urban Computing with AI and IOT
12. Emerging Technology for Smart Living