Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations. AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable.

As small and medium-sized enterprises (SMEs) continue to grow and expand their operations globally, the choices around internationalization and digitalization have become increasingly crucial for business owners to consider. The challenges inherent in expanding operations globally and embracing digital technologies, which demand substantial investment and preparation, pose formidable obstacles. Furthermore, the prevailing mindset prioritizes profit maximization, neglecting the urgent need for environmentally concerned outputs. This critical juncture calls for a transformative solution that addresses the intricacies of international business and digital operations and champions sustainable practices for the future. Entrepreneurial Strategies for the Internationalization and Digitalization of SMEs is a comprehensive guide meticulously crafted to tackle the pressing issues SMEs face today. The book presents a nuanced exploration of internationalization and digitalization, unraveling concepts, methods, strategies, and models crucial for navigating this complex terrain. Through an innovative lens, it redefines entrepreneurship by intertwining it with green achievements, advocating for sustainable outcomes that resonate with the growing global call for environmental responsibility. The book serves as a compass for change, offering readers a robust reference for implementing transformative strategies and models aligned with the dual objectives of enhancing business operations and fostering environmental sustainability.

In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force. Despite strides toward gender equality, women continue to face threats, harassment, and violence, necessitating innovative solutions. Traditional approaches fall short of providing comprehensive protection, prompting the exploration of innovative technologies to address these challenges effectively. Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing emerges as a timely and indispensable solution to the persistent safety issues faced by women globally. This persuasive book not only articulates the problems women encounter but also presents groundbreaking solutions that harness the transformative potential of AI. It delves into the intricate ways AI applications, from mobile safety apps to predictive analytics, can be strategically employed to create a safer and more inclusive society for women.

Traditional patient care and treatment approaches often lack the personalized and interactive elements necessary for effective healthcare delivery. This means that the healthcare industry must find innovative solutions to improve patient outcomes, enhance rehabilitation processes, and optimize resource utilization. There is a gap between the traditional approach and the need for innovation that highlights the importance of a comprehensive understanding of emerging technologies, including Kinect Sensor technology, and the potential to transform healthcare practices with this tech. Revolutionizing Healthcare Treatment With Sensor Technology addresses this critical need by thoroughly exploring how Kinect Sensor technology can revolutionize patient care and treatment methodologies. By repurposing and customizing Kinect Sensor for healthcare applications, this book showcases how depth-sensing cameras, infrared sensors, and advanced motion tracking can capture and interpret real-time patient movements and interactions. This book is ideal for healthcare professionals, hospital administrators, researchers, patients, caregivers, and healthcare technology developers seeking to leverage Kinect Sensor technology for enhanced healthcare delivery. Through detailed case studies and practical examples, experts can learn how to integrate Kinect Sensor into various medical settings to gain valuable insights into patients' physical capabilities, monitor their progress, and create personalized treatment plans.

In the field of information retrieval, the challenge lies in the speed and accuracy with which users can access relevant data. With the increasing complexity of digital interactions, the need for a solution that transcends traditional methods becomes evident. Human involvement and manual investigation are not only time-consuming but also prone to errors, hindering the seamless exchange of information in various sectors. Design and Development of Emerging Chatbot Technology emerges as a comprehensive solution to the predicament posed by traditional information retrieval methods. Focusing on the transformative power of chatbots, it delves into the intricacies of their operation, applications, and development. Designed for academic scholars across diverse disciplines, the book serves as a beacon for those seeking a deeper understanding of chatbots and their potential to revolutionize information retrieval in customer service, education, healthcare, e-commerce, and more.

Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.

In today’s data-driven business landscape, the ability to extract insights and communicate complex information effectively is paramount. Data visualization has emerged as a powerful tool for businesses to make informed decisions, uncover patterns, and present findings in a compelling manner. From executives seeking strategic insights to analysts delving into operational data, the demand for intuitive and informative visualizations spans across all levels of an organization. Data Visualization Tools for Business Applications comprehensively equips professionals with the knowledge and skills necessary to leverage data visualization tools effectively. Through a blend of theory and hands-on case studies, this book explores a wide range of data visualization tools, techniques, and methodologies. Covering topics such as business analytics, cyber security, and financial reporting, this book is an essential resource for business executives and leaders, marketing professionals, data scientists, entrepreneurs, academicians, educators, students, decision-makers and stakeholders, and more.

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

In the industry of agriculture, farmers are facing a challenge worldwide: the need to simultaneously achieve substantial crop yields and mitigate the adverse environmental effects caused by persistent threats from agricultural parasites. The escalating demand for food in tandem with population expansion exacerbates this intricate dilemma, highlighting the shortcomings of conventional approaches to insect management. As climate change, the development of pest resistance, and the call for reduced chemical inputs intensify, a fundamental change in our approach to pest management becomes imperative. Revolutionizing Pest Management for Sustainable Agriculture , is an exploration into the convergence of technology and tradition, revealing how data-driven methodologies and state-of-the-art technologies are transforming the field of agricultural pest management. Revolutionizing Pest Management for Sustainable Agriculture serves as more than a compilation of developments; it is a strategic guide for policymakers, researchers, and farmers navigating the complexities of contemporary agriculture responsibly. With an objective to bridge the gap between traditional pest management and innovative technology, the book provides practical strategies, case studies, and valuable insights, inviting readers to explore the symbiotic relationship between technology and soil cultivation, paving the way for a paradigm shift in the agricultural industry. This carefully crafted resource is designed for a diverse audience, including agricultural researchers, Agri-tech professionals, policymakers, and educators, empowering them with the knowledge and resources needed to embrace smart solutions, contributing to increased productivity, reduced environmental impact, and the sustainability of agricultural systems.