Smart Urban Computing Applications
139,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
payback
70 °P sammeln
  • Gebundenes Buch

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.

Andere Kunden interessierten sich auch für
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.
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.