bappaditya biswas (29 risultati)

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Originating nearly a century ago, India s ceramic industry has transformed into a global contender through modernization and innovation. While some states flourish in meeting rising global demands, West Bengal, despite its pottery heritage, faces challenges.

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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions. 408 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions. Englisch.

Buch. Condizione: Neu. Groundwater Depletion and Sustainability | A Methodology Utilizing Artificial Intelligence and Earth Observation Systems | Anindita Nath (u. a.) | Buch | xi | Englisch | 2026 | Springer | EAN 9783032099204 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions. Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality. Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters. GIS tools enable the spatial analysis and visualization of groundwater quality data.AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources. These techniques help formulate conservation policies and sustainable water management strategies. Various AI techniques, including ANN, SVM, KNN, and decision trees, have been applied to model groundwater quality and predict water quality indices. These models capture complex relationships between hydro chemical parameters and groundwater quality, enabling accurate predictions and informed decision-making.The application of AI and Earth observation systems in groundwater quality prediction contributes to the sustainability of water resources. Identifying pollution sources, assessing water quality, and guiding decision-making processes support preserving and managing water resources in arid and semi-arid regions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 420 pp. Englisch.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta Rohan PrasadRohan Prasad Gupta ist ein Senior Research Fellow, der an der Universitaet Kalkutta im Fachbereich Handel promoviert und sich auf die Entwicklung von KKMU und Unternehmertum spezialisiert hat.Dr. Bappaditya Biswas, A.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Die indische Keramikindustrie, die vor fast einem Jahrhundert entstand, hat sich durch Modernisierung und Innovation zu einem globalen Konkurrenten entwickelt. Während einige Bundesstaaten die steigende globale Nachfrage erfolgreich befriedigen, steht Westbengalen trotz seines Töpfererbes vor Herausforderungen in der Keramikproduktion. Diese Studie befasst sich mit der Dynamik der Keramikindustrie Westbengalens. Durch eine rigorose statistische Analyse identifiziert die Studie einzigartige Herausforderungen und zeigt Wachstumspotenziale auf. Die Ergebnisse bieten strategische Empfehlungen für die keramischen Betriebe in Westbengalen, um Hindernisse zu überwinden und eine nachhaltige Geschäftstätigkeit im Bundesstaat sicherzustellen.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Deutsch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Die indische Keramikindustrie, die vor fast einem Jahrhundert entstand, hat sich durch Modernisierung und Innovation zu einem globalen Konkurrenten entwickelt. Während einige Bundesstaaten die steigende globale Nachfrage erfolgreich befriedigen, steht Westbengalen trotz seines Töpfererbes vor Herausforderungen in der Keramikproduktion. Diese Studie befasst sich mit der Dynamik der Keramikindustrie Westbengalens. Durch eine rigorose statistische Analyse identifiziert die Studie einzigartige Herausforderungen und zeigt Wachstumspotenziale auf. Die Ergebnisse bieten strategische Empfehlungen für die keramischen Betriebe in Westbengalen, um Hindernisse zu überwinden und eine nachhaltige Geschäftstätigkeit im Bundesstaat sicherzustellen.