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Climatetech for Environmental Sustainability
Climatetech for Environmental Sustainability
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ClimateTech for Environmental Sustainability: AI, Nanotechnology, and Energy Innovation for a Net-Zero Future provides an integrated roadmap for leveraging advanced technologies to accelerate the global transition toward a net-zero and climate-resilient future. Bringing together machine learning, generative AI, nanotechnology, and circular economy approaches, this volume demonstrates how intelligent systems and smart materials are transforming the way we model, monitor, and manage environmental…

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ClimateTech for Environmental Sustainability: AI, Nanotechnology, and Energy Innovation for a Net-Zero Future provides an integrated roadmap for leveraging advanced technologies to accelerate the global transition toward a net-zero and climate-resilient future. Bringing together machine learning, generative AI, nanotechnology, and circular economy approaches, this volume demonstrates how intelligent systems and smart materials are transforming the way we model, monitor, and manage environmental change. Through a structured framework spanning foundational concepts, core technologies, integration metrics, and governance, the book explores cutting-edge ClimateTech applications in ecosystem monitoring, sustainable materials, and low-carbon energy systems. It also examines emerging ethical, policy, and economic dimensions empowering researchers, engineers, and policymakers to design scalable, equitable, and technology-driven climate solutions. With global case studies from both the Global North and South, this book serves as a forward-looking reference for academics and professionals at the intersection of environmental science, data intelligence, and sustainable innovation.

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ClimateTech for Environmental Sustainability: AI, Nanotechnology, and Energy Innovation for a Net-Zero Future provides an integrated roadmap for leveraging advanced technologies to accelerate the global transition toward a net-zero and climate-resilient future. Bringing together machine learning, generative AI, nanotechnology, and circular economy approaches, this volume demonstrates how intelligent systems and smart materials are transforming the way we model, monitor, and manage environmental change. Through a structured framework spanning foundational concepts, core technologies, integration metrics, and governance, the book explores cutting-edge ClimateTech applications in ecosystem monitoring, sustainable materials, and low-carbon energy systems. It also examines emerging ethical, policy, and economic dimensions empowering researchers, engineers, and policymakers to design scalable, equitable, and technology-driven climate solutions. With global case studies from both the Global North and South, this book serves as a forward-looking reference for academics and professionals at the intersection of environmental science, data intelligence, and sustainable innovation.

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