Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9786207998210
Quantità: Più di 20 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Codice articolo 9786207998210
Quantità: 2 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26405260302
Quantità: 4 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 407926737
Quantità: 4 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18405260292
Quantità: 4 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. This book delivers an end-to-end, science-driven methodology for next-generation weather forecasting by integrating deep learning methods with physically based climate models. This book proposes a hybrid model incorporating multimodal data fusion, temporal sequence learning, and physics-constrained neural networks to improve forecast accuracy and credibility by a substantial margin.Using ground station, satellite, global reanalysis system, and IoT-based data, the framework resolves the spatial and temporal disconnects plaguing traditional prediction systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786207998210
Quantità: 1 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book delivers an end-to-end, science-driven methodology for next-generation weather forecasting by integrating deep learning methods with physically based climate models. This book proposes a hybrid model incorporating multimodal data fusion, temporal sequence learning, and physics-constrained neural networks to improve forecast accuracy and credibility by a substantial margin.Using ground station, satellite, global reanalysis system, and IoT-based data, the framework resolves the spatial and temporal disconnects plaguing traditional prediction systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Codice articolo 9786207998210
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book delivers an end-to-end, science-driven methodology for next-generation weather forecasting by integrating deep learning methods with physically based climate models. This book proposes a hybrid model incorporating multimodal data fusion, temporal sequence learning, and physics-constrained neural networks to improve forecast accuracy and credibility by a substantial margin.Using ground station, satellite, global reanalysis system, and IoT-based data, the framework resolves the spatial and temporal disconnects plaguing traditional prediction systems. Codice articolo 9786207998210
Quantità: 2 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Next-Gen Weather Forecasting: Deep Learning and Data Analysis | A hybrid LSTM and physics-guided framework using multimodal data for accurate weather prediction | Saptarshi Mondal (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786207998210 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 134022232
Quantità: 5 disponibili