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GeoAI & IoT Foundations de Ram Narayan Yadava

GeoAI & IoT Foundations

Editat de Ram Narayan Yadava, Uznir Ujang
en Limba Engleză Hardback – 24 feb 2027

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Specificații

ISBN-13: 9783032312075
ISBN-10: 3032312078
Pagini: 483
Editura: Springer Nature Switzerland AG

Notă biografică

Prof. Ram Narayan Yadava is Advisor for Research & International Affairs at Mansarovar Global University, India. He has served as founding Vice Chancellor of AISECT University and has been instrumental in the establishment of Advanced Materials and Processes Research Institute (AMPRI) under CSIR, India. His expertise spans hydrologic modeling, environmental quality, water resources, and R&D management. Prof. Yadava has led multiple research projects in water resources, environment, remote sensing, mathematical modeling, and technology forecasting. He has published over 100 journal articles, four textbooks, and 16 edited reference books. Recognized for his contributions to water and environmental sciences, he has delivered invited lectures across numerous international institutions. He is also President of the Intellectual's Association of Water, Environment, Energy, and Society (IAWEES).
Prof. Muhamad Uznir Ujang is Associate Professor and Head of the 3D GIS Research Group at Universiti Teknologi Malaysia (UTM). A leading expert in spatial science, he specializes in 3D City Modeling, 3D GIS, smart cities, topology, and spatial data structures. He has played a key role in research and development related to 3D city modeling and geospatial technologies. Prof. Uznir has authored over 100 scientific publications and holds 24 intellectual properties, including patents and copyrights. He is an active member of several professional organizations, including the Malaysia Board of Technologists (MBOT), Royal Institution of Surveyors Malaysia (RISM), and the International Society of Photogrammetry and Remote Sensing (ISPRS). His research integrates 3D city modeling, artificial intelligence, and geospatial analytics, contributing to smart city innovations.

Cuprins

Part 1: Introduction.- Chapter 1: GeoAI and IoT For Urban-Scale Intelligence and Resilience.- Part 2: Climate & Heat Resilience.- Chapter 2: A Review of Advances In Urban Heat Island Analysis Through 3d City Modelling And Geoai.- Chapter 3: City Intelligence For Heat¿Resilient Urban Design: Fusing Multisource Thermal Sensing, 3¿D Modelling, and Green Infrastructure Analytics.- Chapter 4: Toward Climate-Resilient Cities: Data-Driven Environmental Surveillance and Adaptive Planning.- Chapter 5: Resilient Futures: Harnessing 3D City Modelling, IoT, and AI For Climate-Smart Urban Systems.- Part 3: Aerial/UAV & Vision-Based Infrastructure Monitoring.- Chapter 6: Balancing Speed And Accuracy In Urban Infrastructure Monitoring Via Cornernet Vs. Detnet-59.- Chapter 7: A Scalable Deep Learning-Based Approach For Structural Damage Assessment ¿n Sustainable Cities.- Chapter 8: Enhancing Pipeline Resilience In Smart Cities with AI-Powered Aerial Surveillance.- Chapter 9: Intelligent Railway Monitoring In Smart Cities Using UAV Imagery and Object Detection Algorithms.- Part 4: Energy, Buildings & Industrial Systems.- Chapter 10: Smart Control of Kinetic Facades Using Nsga-Iii and Deep Rein-forcement Learning: A Data-Driven Approach For Energy And Comfort.- Chapter 11: Improving Solar Farm Reliability Through Multi-Modal Aerial Imaging and Deep Fault Analytics.- Chapter 12: When Natural Hazards Turn Refineries Into Risk Sources: Storytelling With LLMs For Communicating NaTech Risks.- Part 5: Emissions, Air Quality & Environmental/Bio Monitoring.- Chapter 13: A Bottom-Up Estimation of Urban CO2 Emissions Using 3D City Models and Human Mobility Data.- Chapter 14: Smart System For Tracking Air Pollution Over India Using Geospatial Platforms.- Part 6: Intelligent Mobility, Traffic and Emergency Response.- Chapter 15: Enhanced Yolov8-Based Detection For Autonomous Construction Machinery In Smart City Environments.- Chapter 16: Edge-Ready Detection of Heavy Vehicles: Benchmarking Deep Models For Intelligent Traffic Systems.- Chapter 17: Multimodal Emergency Vehicle Detection For Smart Urban Mobility Through Fusing Acoustic And Visual Intelligence.- Part 7: Updates, Conclusion and Recommendations.- Chapter 18: A Playbook For Climate-Ready and Sensor-Driven Cities.