9786209699740 - intelligent edge-centric flood risk governance framework: a multi-tier resilient communication and predictive analytics framework for climate-adaptive rural flood management de wanjale, kirti; kodgirwar, krushna (12 resultados)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 48,91
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 84,02
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 39,45
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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 | Verantwortlich…e Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 48,90
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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 framew…ork 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 multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Omniscriptum, LAP Lambert Academic Publishing, 2026
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 43,90
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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 predicti…ve 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.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 81,14
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 82,33
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 57,76
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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 framew…ork 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.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 43,90
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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 f…lood 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.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 44,59
Envío por EUR 60,69Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
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 fl…ood 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.
