Engineering plays a major role in solving real-world problems, from small inconveniences to societal or global concerns around food scarcity, water shortages, environmental damage, problems in housing or infrastructure and more. In today's rapidly evolving world, the development of the latest generation of engineering and technology is crucial for maintaining productivity, innovation, and improving our overall quality of life. Intelligent Engineering Applications and Applied Sciences for Sustainability is an essential research book that serves as a compilation of cutting-edge research and advancements in engineering, science, and technology, and more importantly, how the application of these advancements will guide the path to a more sustainable future. This book focuses on intelligent engineering applications, which encompass the design and implementation of embedded technologies in various domains. It covers a wide range of fields and their influence on the Sustainable Development Goals (SDGs), fostering interdisciplinary approaches and innovative solutions, including additive manufacturing technologies, aerospace science and engineering, agricultural advancements, computer science for sustainable development, applied biosciences, applied mathematics, industrial engineering, robotics and automation, transportation, future mobility, and much more. As an academic, rigorous exploration of various disciplines, this book serves as an invaluable resource for researchers, scholars, and professionals seeking to advance the frontiers of intelligent engineering applications and applied sciences for a sustainable future.

Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.

Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment.

In the environment of energy systems, the effective utilization of both conventional and renewable sources poses a major challenge. The integration of microgrid systems, crucial for harnessing energy from distributed sources, demands intricate solutions due to the inherent intermittency of these sources. Academic scholars engaged in power system research find themselves at the forefront of addressing issues such as energy source estimation, coordination in dynamic environments, and the effective utilization of artificial intelligence (AI) techniques. Intelligent Solutions for Sustainable Power Grids focuses on emerging research areas, this book addresses the uncertainty of renewable energy sources, employs state-of-the-art forecasting techniques, and explores the application of AI techniques for enhanced power system operations. From economic aspects to the digitalization of power systems, the book provides a holistic approach. Tailored for undergraduate and postgraduate students as well as seasoned researchers, it offers a roadmap to navigate the intricate landscape of modern power systems. Dive into a wealth of knowledge encompassing smart energy systems, renewable energy integration, stability analysis of microgrids, power quality enhancement, and much more. This book is not just a guide; it is the solution to the pressing challenges in the dynamic field of energy systems.

As society transitions into the digital age, the demand for advanced robotics and autonomous systems has remained unchanged. However, the field faces significant challenges bridging the gap between current capabilities and the potential for brilliant, autonomous machines. While exact and efficient, current robotic systems need more sophistication and adaptability of human intelligence. This limitation restricts their application in complex and dynamic environments, hindering their ability to realize their potential fully. Multidisciplinary Applications of AI Robotics and Autonomous Systems addresses these challenges by presenting cutting-edge research and innovative robotics and autonomous systems solutions. By exploring topics such as digital transformation, IoT, AI, and cloud-native computing paradigms, readers will understand the latest advancements in the field. The book delves into theoretical frameworks, computational models, and experimental approaches, offering insights to help researchers and practitioners develop more intelligent and autonomous machines.

The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is useful to experts. However, modern devices often have limited resources, making it challenging to decode and utilize this data effectively. Additionally, the need for real-time decision-making further complicates this issue, as traditional data processing methods take far too long to be able to keep up with the required volume and speed. Developments Towards Next Generation Intelligent Systems for Sustainable Development offers a comprehensive solution to these challenges by integrating novel technologies such as AI, edge computing, federated learning, quantum computing, and more. The book shows how intelligent systems can maximize computing power by leveraging these technologies to process large volumes of data efficiently and autonomously and make real-time decisions. The proposed architectures and frameworks focus on real-time analysis, faster decision-making, enhanced privacy, and efficient data processing.

Environmental degradation is a critical global challenge, with pollution, deforestation, and climate change threatening the planet's health. Traditional materials and technologies contribute significantly to these issues, highlighting the urgent need for sustainable alternatives. Carbon-based materials offer a promising solution. However, despite their potential, comprehensive literature needs to explore their diverse applications and impact. This gap hinders the broader adoption of carbon-based materials in environmental conservation efforts. Environmental Applications of Carbon-Based Materials addresses this gap by thoroughly examining carbon-based materials and their environmental applications. It offers a thorough overview of the latest advancements, from production techniques to real-world applications. By highlighting these materials' remarkable properties and versatile nature, the book is a source of inspiration to researchers, industry professionals, and policymakers to embrace these materials as viable solutions to pressing environmental challenges.

The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes security and privacy issues in the healthcare systems using the Internet of Things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images. This book: · Covers the procedure to recognize emotions using image processing and the Internet of Things-enabled machine learning. · Highlights security and privacy issues in the healthcare system using the Internet of Things. · Discusses classification and implementation techniques of image segmentation. · Explains different algorithms of machine learning for image processing in a comprehensive manner. · Provides computational intelligence on the Internet of Things for future biomedical applications including lung cancer. It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

Transportation systems worldwide face two significant challenges: environmental degradation and urban congestion. The dominance of fossil fuel-driven vehicles is leading to significant air pollution and greenhouse gas emissions. As metropolitan areas expand rapidly, traffic congestion, longer commute times, and infrastructure stress are rising. Contemporary Solutions for Sustainable Transportation Practices provides a comprehensive roadmap for addressing these challenges. The book advocates for a shift to eco-conscious mobility solutions, such as electric vehicles and intelligent transportation systems, to create a greener and more efficient transportation future. The book offers a multifaceted approach, synthesizing existing research and knowledge on sustainable transportation. It is a go-to reference for academics, researchers, and practitioners, providing expert insights, case studies, and real-world examples. By showcasing contemporary innovations and solutions, it aims to inspire stakeholders and foster a culture of continuous improvement in the transportation sector. The book also provides practical, actionable guidance for implementing sustainable transportation solutions and equipping policymakers, urban planners, and industry leaders with the tools and knowledge to integrate eco-friendly practices into their operations and decision-making processes.

The construction industry, a cornerstone of modern development, must meet the growing demand for new buildings while minimizing environmental impact. As global populations rise and living standards improve, the need for sustainable building practices has never been more apparent. Traditional construction methods and materials contribute significantly to carbon emissions, resource depletion, and biodiversity loss. Addressing these issues requires innovative solutions that balance development needs with environmental stewardship. Innovations in Energy Efficient Construction Through Sustainable Materials offers a comprehensive response to this pressing problem. The book explores pioneering approaches to building design and construction, focusing on the use of alternative, low-carbon materials and advanced technologies. It provides an in-depth analysis of current and future trends in sustainable construction, covering topics such as recycling waste materials, utilizing biodegradable resources, and implementing energy-efficient designs. By presenting a variety of research fields and practical applications, the book bridges the gap between theoretical concepts and real-world solutions, making it an essential resource for industry professionals, researchers, and advanced students.