Fostering Cross Industry Sustainability With Intelligent Technologies

In today's context of intricate global challenges, encompassing climate crises, resource scarcity, and social disparities, the imperative for sustainable development has never been more pressing. While academic scholars and researchers are instrumental in crafting solutions, they often grapple with the intricate balance between theoretical concepts and practical implementation. This gap impedes the transformation of innovative ideas into tangible societal progress, leaving a void where effective real-world strategies for cross-industry sustainability should flourish. "Fostering Cross-Industry Sustainability With Intelligent Technologies" seeks to bridge this divide. This book is more than just a collection of pages; it serves as a roadmap for those determined to make a tangible impact. It brings together a diverse group of esteemed experts from various disciplines, offering a comprehensive spectrum of actionable insights, all grounded in the ethical imperatives of inclusivity and environmental responsibility. Anchored in the United Nations Sustainable Development Goals (SDGs), this volume serves as a guiding star, channeling theoretical expertise into practical solutions. For academic scholars, scientists, innovators, and students alike, Fostering Cross-Industry Sustainability With Intelligent Technologies is the definitive guidepost. It fosters a profound understanding of the real-world implications of research, promoting interdisciplinary collaborations that transcend conventional boundaries. This comprehensive book presents a wealth of sustainable science and intelligent technology applications, all while emphasizing the importance of ethics and societal impact. With visionary insights woven throughout its pages, it calls upon humanity to envision a future where challenges transform into opportunities, and sustainable development becomes an attainable reality.

Through a combination of rapid technological advancement and the ongoing digital revolution, the role of Human Resources (HR) in shaping organizational trajectories has seen unprecedented growth. The amalgamation of digital HR technologies and the advent of Industry 5.0 pose both exceptional opportunities and formidable challenges, especially for developing economies grappling with resource constraints and skill gaps. These nations stand at a crossroads, where leveraging digital HR technologies becomes imperative for bolstering their competitive edge in the global arena. The book Convergence of Human Resources Technologies and Industry 5.0 undertakes a comprehensive exploration of the impacts, implementation, and repercussions of digital HR technologies within the framework of Industry 5.0 in developing economies. Bridging the gap between theory and practice, it employs a comprehensive approach encompassing theoretical frameworks, empirical investigations, and practical insights from both academia and industry. By offering tangible takeaways, and approaches, it equips readers to adeptly harness the power of digital HR technologies, enabling organizations to thrive in the era of Industry 5.0. Designed for HR professionals, executives, managers, researchers, policymakers, and students, this book delves into critical topics such as understanding the notion of Industry 5.0 in developing economies, exploring the transformative potential of digital HR technologies, and addressing challenges associated with their implementation.

Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.

Infrastructure development presents significant challenges for both developing and developed countries, hindering their progress in achieving the Sustainable Development Goals (SDGs). Governments often struggle to effectively leverage the necessary resources and expertise for financing and managing infrastructure projects, resulting in untapped potential for sustainable and inclusive development. Achieving the Sustainable Development Goals Through Infrastructure Development, edited by Cristina Raluca Gh. Popescu, Poshan Yu, and Yue Wei, offers a comprehensive guide to address these challenges. Focusing on public-private partnerships (PPPs) as a transformative solution, the book equips policymakers, investors, practitioners, and researchers with the essential knowledge and tools needed to navigate the complexities of infrastructure development and leverage the expertise and resources of the private sector. By showcasing successful case studies, analyzing critical success factors, and providing valuable insights into the implementation of PPPs in both developing and developed countries, this book becomes an indispensable resource for driving progress towards the SDGs. Covering crucial topics such as financing, risk management, legal frameworks, and sustainability considerations, it empowers readers to make informed decisions and foster collaborative partnerships between the public and private sectors. Through its comprehensive roadmap, this book enables stakeholders to unlock the full potential of sustainable and inclusive infrastructure development, paving the way for a prosperous future for all.

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.

Our planet is facing the prospect of environmental catastrophe, resulting from decades of reckless human activities. The ongoing degradation of the Earth's natural resources, climate change, pollution, and habitat destruction have created an urgent global crisis. The responsibility for addressing these challenges has been a significant issue since the 1972 International Conference on Human Environment in Sweden. Despite widespread acknowledgment of the issues at hand, insufficient efforts have been taken to safeguard our fragile ecosystems and secure a sustainable future for generations to come. Opportunities and Challenges for Women Leaders in Environmental Management is a groundbreaking book meticulously crafted for academic scholars seeking answers to the most pressing environmental questions of our time. This book reveals the pivotal role women are playing as environmental stewards, providing a ray of hope in the face of environmental turmoil. Through data, empirical studies, and narratives, this book spotlights the remarkable contributions of women worldwide in environmental activism, advocacy, research, education, and innovative strategies. Their unwavering commitment to energy conservation, responsible waste management, and the preservation of ecological parks and wildlife is both inspiring and transformative.

Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment. This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care.

Millets are ancient grains that have been cultivated by humans for centuries, and they have recently emerged as a crucial staple food in numerous cultures owing to their abundant essential nutrients and their resilience to changing climates, requiring fewer resources for growth. In the face of the current climate crisis, the spotlight on millets as a cornerstone of sustainable societies has intensified. The Role of Women in Cultivating Sustainable Societies Through Millets delves into the significance of millets in sustainable agriculture and the indispensable role that women play in their cultivation and promotion. This book seeks to advocate for the cultivation and consumption of millets as a pathway to constructing sustainable societies. However, it goes beyond mere cultivation, as it critically recognizes and highlights the pivotal role of women in this transformative process. Drawing from millennia of historical perspectives, the book examines how women have been key agents of change in millet cultivation, shaping its cultivation techniques, preservation, and the propagation of traditional knowledge across generations. To further solidify the book's foundation, it includes compelling case studies, illustrating successful real-world applications of millet cultivation and its socio-economic impact, making this book a timely and essential resource for students, researchers, academicians, and industry professionals alike.