9798337327006 - Computational Intelligence and Optimization Methods for Sustainable Water Management (10 risultati)

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

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

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

Hardcover. Condizione: new. Hardcover. Computational intelligence and optimization methods transform the way we approach sustainable water management, offering tools to address complex environmental challenges. As water resources face pressure from climate change, population growth, and industrial demand, advanced algorithms enable more efficient, data-driven decision-making. These techniques support the design of smarter distribution systems, predictive maintenance, real-time monitoring, and adaptive resource planning. By integrating computational intelligence into water management, organizations can enhance resilience, reduce waste, and ensure equitable, sustainable access to clean water. Computational Intelligence and Optimization Methods for Sustainable Water Management examines water resources management principles, machine learning applications, novel approaches to wastewater treatment, and emerging technologies for water supply, conservation, and management. It explores how modern solutions can be integrated with traditional methods to achieve sustainable and effective water management. This book covers topics such as water resources, natural disasters, and machine learning, and is a useful resource for hydraulics engineers, climatologists, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Computational intelligence and optimization methods transform the way we approach sustainable water management, offering tools to address complex environmental challenges. As water resources face pressure from climate change, population growth, and industrial demand, advanced algorithms enable more efficient, data-driven decision-making. These techniques support the design of smarter distribution systems, predictive maintenance, real-time monitoring, and adaptive resource planning. By integrating computational intelligence into water management, organizations can enhance resilience, reduce waste, and ensure equitable, sustainable access to clean water. Computational Intelligence and Optimization Methods for Sustainable Water Management examines water resources management principles, machine learning applications, novel approaches to wastewater treatment, and emerging technologies for water supply, conservation, and management. It explores how modern solutions can be integrated with traditional methods to achieve sustainable and effective water management. This book covers topics such as water resources, natural disasters, and machine learning, and is a useful resource for hydraulics engineers, climatologists, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Computational intelligence and optimization methods transform the way we approach sustainable water management, offering tools to address complex environmental challenges. As water resources face pressure from climate change, population growth, and industrial demand, advanced algorithms enable more efficient, data-driven decision-making. These techniques support the design of smarter distribution systems, predictive maintenance, real-time monitoring, and adaptive resource planning. By integrating computational intelligence into water management, organizations can enhance resilience, reduce waste, and ensure equitable, sustainable access to clean water. Computational Intelligence and Optimization Methods for Sustainable Water Management examines water resources management principles, machine learning applications, novel approaches to wastewater treatment, and emerging technologies for water supply, conservation, and management. It explores how modern solutions can be integrated with traditional methods to achieve sustainable and effective water management. This book covers topics such as water resources, natural disasters, and machine learning, and is a useful resource for hydraulics engineers, climatologists, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computational intelligence and optimization methods transform the way we approach sustainable water management, offering tools to address complex environmental challenges. As water resources face pressure from climate change, population growth, and industrial demand, advanced algorithms enable more efficient, data-driven decision-making. These techniques support the design of smarter distribution systems, predictive maintenance, real-time monitoring, and adaptive resource planning. By integrating computational intelligence into water management, organizations can enhance resilience, reduce waste, and ensure equitable, sustainable access to clean water. Computational Intelligence and Optimization Methods for Sustainable Water Management examines water resources management principles, machine learning applications, novel approaches to wastewater treatment, and emerging technologies for water supply, conservation, and management. It explores how modern solutions can be integrated with traditional methods to achieve sustainable and effective water management. This book covers topics such as water resources, natural disasters, and machine learning, and is a useful resource for hydraulics engineers, climatologists, academicians, researchers, and environmental scientists.