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Gautam S: Environmental Monitoring with
AI and IoT

Environmental Monitoring with AI and IoT

Smart Systems for a Sustainable Future

In recent years, the world’s atmospheric C02 concentration has averaged 420 ppm, exceeding the critical level of sustainable and safe operating space for humanity. Although there are various technologies and tools to mitigate these effects brought on by climate change, there is a need to systematize these technologies with the aid of decision tools to gain insights on how efficiently decarbonize the industrial sector in a large scale. Process Systems Engineering Tools for Industrial Decarbonization provides the current state-of-the-art mathematical tools for large-scale deployment of technologies underpinning low-carbon industrial processes and systems. This book will analyze various systematic approaches for planning, decision-making, and designing of systems for industrial decarbonization. It will provide both experts and readers with recent developments on methods that enable different technologies, such as CCUS, NETs, and other decarbonization techniques to be deployed in large-scale once the technology matures. These planning tools contributes to enable them to perform their expected contribution to sustainable and low-carbon future.

Process Systems Engineering Tools for Industrial Decarbonization

Woodhead Publishing Series in Civil and Structural Engineering

Latent Heat Storage for Energy-Efficient Buildings and Zero-Carbon Communities serves as an up-to-date reference guide on the rapid progress the field is experiencing while keeping up with the much-required transformative initiatives to improve buildings' energy performance worldwide. To lay the foundations, the book opens with coverage of the fundamentals of phase-change materials, including their thermo-physical properties, nanoscale thermal transport mechanisms, encapsulation techniques, and heat transfer enhancement methods. It goes on to explore the integration of latent heat storage solutions in building envelopes or solar photovoltaics and heating/cooling systems, using mathematical models and performance analysis to discuss thermal management aspects for net-zero energy buildings and zero-carbon community concepts. The volume then delves into practical application of the most advanced, artificial intelligence-powered tools for system modeling and simulation, demand-side management control strategies, and metaheuristic optimization approaches. It finally concludes with an overview of technical challenges and emerging research areas which evidence academic and industry communities’ persistent interest in the future directions of topics interconnected with the sustainable development of the built environment.

Latent Heat Storage for Energy-Efficient Buildings and Zero-Carbon Communities

Artificial Intelligence and Machine Learning in Data Science and Analytics

Digital twins represent an emerging technology of immense potential across various industries. Their significance is particularly pronounced within Industry 4.0 and smart manufacturing paradigms, which strive to elevate efficiency and quality through seamless digital integration. By amassing and scrutinizing extensive data streams, digital twins empower data-centric decision-making-a pivotal asset in contemporary industry. Digital Twins of Advanced Materials Processing bridges the gap in comprehensive resources concerning advanced materials processing, a domain characterized by rapid evolution. It provides pragmatic remedies and real-world case studies, catering to tangible implementation needs. Moreover, digital twins hold the capacity to amplify efficiency and innovation within materials processing-a perspective deeply explored within this book, rendering it invaluable for professionals, researchers, and students alike. The prospects of employing digital twins in materials processing span diverse horizons: refining materials innovation, streamlining processes, enabling data-driven maintenance, enhancing product quality, and unearthing insights rooted in data. The book also undertakes the challenge of addressing key issues encompassing data amalgamation and integrity, model validation and calibration, software and data safeguarding, scalability, and cost considerations.

Digital Twins of Advanced Materials Processing

Woodhead Advances in Pollution Research

Advances in Waste Plastic Recycling and Upcycling discusses recent developments in the mechanical and chemical recycling of waste plastics for the production of fuels, chemicals, and materials. The plastic chemistry and status of plastic recycling is introduced, and the book addresses optimization and upgrading procedures that aim to improve the quality and the environmental impact of plastic conversion as well as the techno-economic, lifecycle assessment, and social impacts of chemical recycling. In addition, the book covers how to effectively manage and recycle global waste plastics and various plastic pathways.

Advances in Waste Plastic Recycling and Upcycling

Artificial Intelligence in Cybersecurity for Banking and Finance

Energy Efficiency and Sustainability: Balancing Economic and Environmental Realities addresses the complex interplay between clean energy, environmental sustainability, and economic development. This comprehensive analysis of the three 'E' aspects-energy, environment, and economy-explores how they can collectively foster a resilient and green future. The book thoroughly examines the challenges and opportunities presented by green energy adoption, providing insights into how these practices can be aligned with sustainable development goals. By addressing conflicting interests across various disciplines, the text offers innovative strategies for promoting harmony among these critical areas. From foundational concepts to practical applications, the book covers a wide range of topics essential for understanding the nexus of energy efficiency and sustainability. Readers will find discussions on the interconnections between energy efficiency and consumer behavior, trends in renewable energy adoption, and the impact of development on energy consumption. Additionally, the book highlights the role of digitalization, international alliances, and policy frameworks in advancing sustainable practices. With case studies and actionable recommendations, it equips readers with the tools needed to navigate the complexities of promoting energy efficiency and sustainable development across various sectors. Energy Efficiency and Sustainability: Balancing Economic and Environmental Realities is an invaluable resource for a diverse audience, including academics, researchers, policymakers and professionals working in the fields of energy policy, economics, environmental science and sustainable development as well as students studying related fields.

Balancing Economic and Environmental Realities

Energy Efficiency and Sustainability

Methods and Applications

Advanced Techniques for Modifying Metaheuristics

Trusted Generative AI and Large Language Models for Health Informatics

Metal Oxides

Metal-Oxide-Based Nanomaterials and their Advanced Environmental Applications addresses the application of metal-oxide-based materials in soil, water, and wastewater treatment remediation technologies. These materials are particularly promising for applications as adsorbents, catalysts, and sensors, among others. The book provides researchers, students, professors, and industry experts with fundamental and advanced information in the field of metal oxide materials for environmental applications. Metal oxides and their physical, magnetic, optical, and chemical characteristics are of increasing interest to researchers addressing soil, wastewater, groundwater, and surface water contamination. Novel materials based on metal oxides show remarkable sensitivity to alterations in their composition and structure, and lend themselves especially well to cutting-edge procedures or processes for environmental remediation.

Metal-Oxide-Based Nanomaterials and their Advanced Environmental Applications

Moving Towards Fully Autonomous and Cost-Effective Surgical Robotic Systems with AI offers advanced insights into how AI can be used to optimize the design, manufacturing, and clinical application of these systems. It covers a wide range of topics, including the introduction of surgical robotic systems design and the presentation of a fully autonomous surgical robotic system for minimally invasive surgery. Advanced medical imaging techniques integrated with surgical robots are discussed to enhance surgical precision and safety. The book also highlights the application of machine learning and deep learning models in robotic-assisted surgery, with the development of novel algorithms for autonomous surgical robots. Various AI approaches for optimizing surgical robotic systems and the design considerations for manufacturing and assembly are examined. Additionally, the book includes a thorough analysis of the life cycle and economic aspects of surgical robotic systems, as well as risk assessment and evaluation methods. The final chapters address ethics considerations and explore future enhancements in the realm of fully autonomous surgical robotic systems. Overall, this book aims to contribute to the technical understanding, design aspects, and ethical dimensions of surgical robotics, promoting safer and more efficient surgical procedures.

Moving Towards Fully Autonomous and Cost-Effective Surgical Robotic Systems with AI

900 years of the Worshipful Company of Weavers

The Weavers' Trade

Environmental Monitoring with AI and IoT

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