| Description |
1 online resource |
| Series |
River Publishers series in Computing and Information Science and Technology |
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River Publishers series in Computing and Information Science and Technology
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| Contents |
Cover -- Half-Title -- RIVER PUBLISHERS SERIES IN COMPUTING AND INFORMATION SCIENCE AND TECHNOLOGY -- Title -- Copyrights -- Contents -- Preface -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- 1 Requirement Analysis of Data Analytics Software Within the Scope of a Smart University -- 1.1 Introduction -- 1.2 Literature Review -- 1.2.1 Smart campus studies -- 1.2.2 Requirements analysis studies -- 1.3 Proposed Methodology -- 1.3.1 Software development process -- 1.3.2 Software development models and its steps -- 1.4 V-Model |
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1.4.1 Previous steps of the project -- 1.4.2 V-model of software requirements specifications -- 1.4.3 Planning with the core team -- 1.5 Adaptation of the Proposed Methodology -- 1.6 Conclusion -- 1.7 Acknowledgment -- References -- 2 Performance Analysis of Deep Learning Models for Re-identification of a Person in a Public Surveillance System -- 2.1 Introduction -- 2.2 Literature Survey -- 2.2.1 Existing video surveillance commercial products -- 2.2.2 A general automated visual surveillancesystem framework -- 2.2.3 Multi-camera tracking and person re-identification -- 2.2.4 ReID system framework |
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2.2.5 Overview of previous Work in ReID -- 2.2.6 Multi-camera tracking andperson-re-identification datasets -- 2.2.7 Challenges faced by ReID system -- 2.3 Proposed System -- 2.4 Experimental Results and Discussion -- 2.5 Conclusion -- References -- 3 Exploiting Trajectory Data to Improve Smart City Services -- 3.1 Introduction -- 3.2 General Framework of Urban Computing -- 3.3 Trajectory Data and Trajectory Data Mining -- 3.3.1 Trajectory data -- 3.3.2 Trajectory data mining -- 3.3.2.1 Primary mining methods -- 3.3.2.2 Secondary mining methods -- 3.4 Applications of Trajectories |
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3.5 Issues for Trajectory Data Mining -- 3.6 Publicly Available Trajectory Datasets -- 3.7 Conclusion and Future Work -- References -- 4 An End-End Framework for Autonomous Driving Cars in a CARLA Simulator -- 4.1 Introduction -- 4.2 Related Work -- 4.2.1 Autonomous driving simulators -- 4.2.2 Object detection -- 4.2.3 Literature review -- 4.3 Proposed Work -- 4.3.1 Methodology -- 4.3.2 Work flow -- 4.3.3 Traffic signal detection -- 4.3.3.1 Dataset selection -- 4.3.3.2 Dataset pre-processing and loading -- 4.3.3.3 Model selection -- 4.3.4 End-End framework -- 4.3.4.1 Dataset selection |
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4.3.4.2 Dataset pre-processing and loading -- 4.3.4.3 Model -- 4.4 Evaluation Metrics -- 4.5 Result of Prediction -- 4.5.1 Traffic signal detection -- 4.5.2 End-End framework -- 4.6 Conclusion -- References -- 5 IoT and Artificial Intelligence Techniques for Public Safety and Security -- 5.1 Introduction -- 5.2 Proposed Method -- 5.3 Smart City Technology Framework -- 5.4 Other Technologies that are Connected -- 5.5 Conclusion and Future Work -- References -- 6 Deep Learning Approaches for the Classification of IoT-based Hyperspectral Images -- 6.1 Introduction -- 6.2 IoT in Remote Sensing and HSI Analysis |
| Summary |
This edited book is a collection of quality research articles reporting research advances in the area of deep learning, IoT and urban computing. It describes new insights based on deep learning and IoT for urban computing and is useful for architects, engineers, policymakers, facility managers, academicians, and researchers who are interested in expanding their knowledge of the applications of deep learning trends involving urban computing |
| Notes |
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 |
| Subject |
Smart cities.
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Cities and towns -- Technological innovations
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Deep learning (Machine learning)
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Internet of things.
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COMPUTERS / General
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COMPUTERS / Machine Theory
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SCIENCE / Energy
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Deep learning (Machine learning)
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Internet of things.
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Smart cities.
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| Form |
Electronic book
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| Author |
Jabbar, M. A. (Meerja Akhil)
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Tiwari, Sanju, 1979-
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Ortiz-Rodriguez, Fernando, 1974-
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| ISBN |
9788770227483 |
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8770227489 |
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9781003373247 |
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1003373240 |
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9781000846430 |
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1000846431 |
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9781000846478 |
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1000846474 |
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