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Synopsis
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.
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Next-Gen Weather Forecasting
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LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Next-Gen Weather Forecasting
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LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Next-Gen Weather Forecasting: Deep Learning and Data Analysis
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LAP Lambert Academic Publishing, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Next-Gen Weather Forecasting: Deep Learning and Data Analysis
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LAP LAMBERT Academic Publishing Aug 2025, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Seller Inventory # 9786207998210
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Next-Gen Weather Forecasting: Deep Learning and Data Analysis : A hybrid LSTM and physics-guided framework using multimodal data for accurate weather prediction
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LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Taschenbuch. Condition: 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. Seller Inventory # 9786207998210
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Next-Gen Weather Forecasting: Deep Learning and Data Analysis
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LAP Lambert Academic Publishing, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Next-Gen Weather Forecasting: Deep Learning and Data Analysis
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LAP Lambert Academic Publishing, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Next-Gen Weather Forecasting (Paperback)
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LAP Lambert Academic Publishing, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Paperback. Condition: 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. Seller Inventory # 9786207998210
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Next-Gen Weather Forecasting: Deep Learning and Data Analysis
Published by
LAP Lambert Academic Publishing, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Next-Gen Weather Forecasting: Deep Learning and Data Analysis
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LAP LAMBERT Academic Publishing Aug 2025, 2025
ISBN 10: 6207998219
ISBN 13: 9786207998210
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786207998210