ISBN: 9786209699740 - intelligent edge-centric flood risk governance framework: a multi-tier resilient communication and predictive analytics framework for climate-adaptive rural flood management (11 resultados)

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Intelligent Edge-Centric Flood Risk Governance Framework | A Multi-Tier Resilient Communication and Predictive Analytics Framework for Climate-Adaptive Rural Flood Management | Kirti Wanjale (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209699740 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Flood disasters increasingly threaten rural and semi-urban communities due to climate variability and inadequate early warning systems. This book presents a distributed Edge-AI and IoT-driven cyber-physical architecture for predictive flood risk modeling and resilience governance. The framework integrates multi-parameter environmental sensing, hybrid AI forecasting using ARIMA and LSTM models, and resilient LoRa-GSM communication networks to enable short-term flood probability estimation. Unlike conventional threshold-based systems, it supports proactive risk classification, multi-channel alert dissemination, vulnerability-aware evacuation prioritization, and two-way SOS communication. Solar-powered sensing nodes ensure energy autonomy, while redundancy enhances reliability during extreme conditions. By combining predictive intelligence with community-centric coordination, the system advances scalable climate resilience for resource-constrained regions. 80 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Flood disasters increasingly threaten rural and semi-urban communities due to climate variability and inadequate early warning systems. This book presents a distributed Edge-AI and IoT-driven cyber-physical architecture for predictive flood risk modeling and resilience governance. The framework integrates multi-parameter environmental sensing, hybrid AI forecasting using ARIMA and LSTM models, and resilient LoRa-GSM communication networks to enable short-term flood probability estimation. Unlike conventional threshold-based systems, it supports proactive risk classification, multi-channel alert dissemination, vulnerability-aware evacuation prioritization, and two-way SOS communication. Solar-powered sensing nodes ensure energy autonomy, while redundancy enhances reliability during extreme conditions. By combining predictive intelligence with community-centric coordination, the system advances scalable climate resilience for resource-constrained regions.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Paperback. Condición: new. Paperback. Flood disasters increasingly threaten rural and semi-urban communities due to climate variability and inadequate early warning systems. This book presents a distributed Edge-AI and IoT-driven cyber-physical architecture for predictive flood risk modeling and resilience governance. The framework integrates multi-parameter environmental sensing, hybrid AI forecasting using ARIMA and LSTM models, and resilient LoRa-GSM communication networks to enable short-term flood probability estimation. Unlike conventional threshold-based systems, it supports proactive risk classification, multi-channel alert dissemination, vulnerability-aware evacuation prioritization, and two-way SOS communication. Solar-powered sensing nodes ensure energy autonomy, while redundancy enhances reliability during extreme conditions. By combining predictive intelligence with community-centric coordination, the system advances scalable climate resilience for resource-constrained regions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Flood disasters increasingly threaten rural and semi-urban communities due to climate variability and inadequate early warning systems. This book presents a distributed Edge-AI and IoT-driven cyber-physical architecture for predictive flood risk modeling and resilience governance. The framework integrates multi-parameter environmental sensing, hybrid AI forecasting using ARIMA and LSTM models, and resilient LoRa-GSM communication networks to enable short-term flood probability estimation. Unlike conventional threshold-based systems, it supports proactive risk classification, multi-channel alert dissemination, vulnerability-aware evacuation prioritization, and two-way SOS communication. Solar-powered sensing nodes ensure energy autonomy, while redundancy enhances reliability during extreme conditions. By combining predictive intelligence with community-centric coordination, the system advances scalable climate resilience for resource-constrained regions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…