singh bhupinder kaunert christian lal (56 résultats)

Etat : New.

Etat : New. In.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Paperback. Etat : new. Paperback. The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generate improved traffic flow across regions. Further research may continue encouraging urban planning and management innovation. Machine Learning and Robotics in Urban Planning and Management explores the integration of machine learning and robotics technology in urban and regional development. It examines solutions for traffic management, infrastructure improvements, and prediction models using intelligent technology. This book covers topics such as neural networks, smart cities, and transportation systems, and is a useful resource for urban developers, business owners, scientists, civil engineers, academicians, and researchers. "There have been drastic changes in the field of urban planning and management with integration of advanced technologies such as machine learning (ML), autonomous vehicles etc, Given the importance of such innovations to modern urban traffic flow and congestion, it is imperative that they be protected"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New. In.

Paperback. Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : new. Paperback. The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generate improved traffic flow across regions. Further research may continue encouraging urban planning and management innovation. Machine Learning and Robotics in Urban Planning and Management explores the integration of machine learning and robotics technology in urban and regional development. It examines solutions for traffic management, infrastructure improvements, and prediction models using intelligent technology. This book covers topics such as neural networks, smart cities, and transportation systems, and is a useful resource for urban developers, business owners, scientists, civil engineers, academicians, and researchers. "There have been drastic changes in the field of urban planning and management with integration of advanced technologies such as machine learning (ML), autonomous vehicles etc, Given the importance of such innovations to modern urban traffic flow and congestion, it is imperative that they be protected"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Etat : new. Hardcover. The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generate improved traffic flow across regions. Further research may continue encouraging urban planning and management innovation. Machine Learning and Robotics in Urban Planning and Management explores the integration of machine learning and robotics technology in urban and regional development. It examines solutions for traffic management, infrastructure improvements, and prediction models using intelligent technology. This book covers topics such as neural networks, smart cities, and transportation systems, and is a useful resource for urban developers, business owners, scientists, civil engineers, academicians, and researchers. "There have been drastic changes in the field of urban planning and management with integration of advanced technologies such as machine learning (ML), autonomous vehicles etc, Given the importance of such innovations to modern urban traffic flow and congestion, it is imperative that they be protected"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New. In.

Hardback. Etat : New.

Paperback. Etat : New.

Paperback. Etat : new. Paperback. Smart sustainability offers hope for addressing global environmental and societal challenges in a world rapidly transformed by technological breakthroughs. With cities growing rapidly and natural resources under strain, developing innovative ideas has become crucial. Artificial intelligence (AI) is playing an increasingly significant role by analyzing vast amounts of data to predict outcomes and optimize processes. Cities, in particular, stand to benefit from AI-driven advances in sustainable urban planning. From smart grids that optimize energy distribution to AI-powered waste management systems that improve recycling, AI offers a wide range of sustainability applications. Developing Smart Sustainability With Artificial Intelligence discusses how AI can be pushed into the service of smart sustainability. It focuses on where AI intersects with renewable energy, waste management, water conservation, and sustainable agriculture. Additionally, the book deals with ethical and socio-economic aspects of applying AI to sustainability. Covering topics such as clean energy, environmental protection, and urban sustainability, this book is an excellent resource for academicians, researchers, industry experts, educators, graduate and postgraduate students, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : new. Hardcover. The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generate improved traffic flow across regions. Further research may continue encouraging urban planning and management innovation. Machine Learning and Robotics in Urban Planning and Management explores the integration of machine learning and robotics technology in urban and regional development. It examines solutions for traffic management, infrastructure improvements, and prediction models using intelligent technology. This book covers topics such as neural networks, smart cities, and transportation systems, and is a useful resource for urban developers, business owners, scientists, civil engineers, academicians, and researchers. "There have been drastic changes in the field of urban planning and management with integration of advanced technologies such as machine learning (ML), autonomous vehicles etc, Given the importance of such innovations to modern urban traffic flow and congestion, it is imperative that they be protected"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : New.

Paperback. Etat : new. Paperback. The destruction of millions of acres of forest land through wildfires is a global cause of concern. Artificial intelligence (AI), transformative in nature, has the potential to transcend and significantly mitigate risk factors of wildfires. AI-driven monitoring systems can detect early signs of wildfire activity, allowing for faster, more targeted responses that can minimize damage and save lives. Machine Learning and Internet of Things in Fire Ecology elucidates and explores the interface of fire ecology with AI, machine learning, and internet of things, as these technologies emerged as a pivotal domain with transformative potential. It will assist environmental-related industries in understanding the paraphernalia and dynamics of the fire ecology ecosystem. Covering topics such as AI, unmanned aerial vehicles (UAVs), and wildlife conservation, this book is an excellent resource for government officials, ecologists, academicians, policymakers, researchers, environmental specialists, industry experts, graduate and postgraduate students, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New.

Paperback. Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In.

Paperback. Etat : New.

Paperback. Etat : new. Paperback. Smart sustainability offers hope for addressing global environmental and societal challenges in a world rapidly transformed by technological breakthroughs. With cities growing rapidly and natural resources under strain, developing innovative ideas has become crucial. Artificial intelligence (AI) is playing an increasingly significant role by analyzing vast amounts of data to predict outcomes and optimize processes. Cities, in particular, stand to benefit from AI-driven advances in sustainable urban planning. From smart grids that optimize energy distribution to AI-powered waste management systems that improve recycling, AI offers a wide range of sustainability applications. Developing Smart Sustainability With Artificial Intelligence discusses how AI can be pushed into the service of smart sustainability. It focuses on where AI intersects with renewable energy, waste management, water conservation, and sustainable agriculture. Additionally, the book deals with ethical and socio-economic aspects of applying AI to sustainability. Covering topics such as clean energy, environmental protection, and urban sustainability, this book is an excellent resource for academicians, researchers, industry experts, educators, graduate and postgraduate students, and more. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : As New. Unread book in perfect condition.

Hardback. Etat : New.

Hardcover. Etat : new. Hardcover. Smart sustainability offers hope for addressing global environmental and societal challenges in a world rapidly transformed by technological breakthroughs. With cities growing rapidly and natural resources under strain, developing innovative ideas has become crucial. Artificial intelligence (AI) is playing an increasingly significant role by analyzing vast amounts of data to predict outcomes and optimize processes. Cities, in particular, stand to benefit from AI-driven advances in sustainable urban planning. From smart grids that optimize energy distribution to AI-powered waste management systems that improve recycling, AI offers a wide range of sustainability applications. Developing Smart Sustainability With Artificial Intelligence discusses how AI can be pushed into the service of smart sustainability. It focuses on where AI intersects with renewable energy, waste management, water conservation, and sustainable agriculture. Additionally, the book deals with ethical and socio-economic aspects of applying AI to sustainability. Covering topics such as clean energy, environmental protection, and urban sustainability, this book is an excellent resource for academicians, researchers, industry experts, educators, graduate and postgraduate students, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.