Roshan Raman – författare

Smart Cities and Sustainable Manufacturing: Innovations for a Greener Future explores the intersection of these two essential disciplines, underscoring the transformative potential of their integration in sculpting sustainable urban landscapes. By providing cutting-edge research, case studies, success stories, and practical guidance, this book facilitates knowledge sharing and collaboration and inspires stakeholders to implement sustainable and innovative solutions. Further, it illustrates how integrating smart cities and sustainable manufacturing can contribute to a greener future by investigating the role of emergent technologies, policy frameworks, business models, and more.This essential resource covers a range of topics related to smart cities and sustainable manufacturing, including technologies for smart cities, such as IoT, AI, big data analytics, and sensor networks; sustainable infrastructure design, such as green buildings, energy-efficient transportation systems, and renewable energy integration; circular economy and waste management strategies; sustainable transportation initiatives such as intelligent transportation systems, electric mobility solutions, and shared mobility services, and much more.Offers practical frameworks, methodologies, and tools readers can utilize to implement sustainable practices and drive positive change in their respective domainsFeatures real-world case studies from around the globe, highlighting successful-and less successful-examples of smart cities and sustainable manufacturing initiatives and showcasing the outcomes and lessons learnedBridges the gap between different disciplines, integrating knowledge from areas such as technology, urban planning, environmental science, and engineering for a holistic understanding of the subject matterExplores future trends and emerging technologies in smart cities and sustainable manufacturing, enabling readers to stay ahead of the curve and anticipate upcoming developments

Applied Artificial Intelligence for Engineering Applications: Empowering Transformative Innovations in Multidisciplinary Engineering offers an integrated view of AI’s transformative potential in multidisciplinary engineering, bridging the gap between AI advances and their applications in various engineering disciplines, including civil, mechanical, electrical, chemical, and robotics. The book starts with an introduction to the field, providing an overview of AI technologies and their relevance to engineering, discussing different AI approaches such as machine learning, reinforcement learning, neural networks, and natural language processing.In addition, the computational tools and software used for each of these approaches are covered, as are AI-driven innovations in electronics design and manufacturing and the role of AI in the development of advanced sensors and IoT devices. Chapters then cover the deployment of AI in specific engineering disciplines, outlining its use in civil engineering, mechanical engineering, production engineering, and chemical engineering. The use of AI as a solution for energy efficiency and management and renewable energy integration is also discussed.Discusses the intersection of AI and multidisciplinary engineering, integrating insights from various engineering disciplines and providing practical examples of AI applicationsProvides practical frameworks, methodologies, and tools that can be utilized to implement AI-driven solutionsPresents real-world case studies from various engineering fields, highlighting successful AI implementations and outcomes achieved