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ICISAS 2025 is the premier research conference of Curtin University Dubai, bringing together experts from multiple disciplines to explore how innovation and sustainability can shape the future of business and society. It provides a platform for sharing applied research that addresses global challenges through science, technology, and strategic management.The main purpose of the conference is to encourage collaboration across academic, industry, and policy sectors. It brings together leaders, researchers, technologists, and students to discuss solutions that unite sustainable practices with advanced technologies. This aligns directly with the book theme, which highlights how strong management strategies combined with intelligent systems can create long-term organizational value. ICISAS 2025 aims to highlight research that can be translated into practical improvements in business performance, governance, and societal well-being. Topics discussed include AI-driven decision making, sustainable leadership, robotics and automation, IoT-enabled operations, blockchain applications, and digital transformation strategies.The conference also explores human-centered themes such as workforce well-being, generational diversity, leadership effectiveness, and community development. These areas connect with the book's focus on integrating technology with sustainable management practices to build resilient and high-performing organizations. Over two days, participants engage in keynote lectures, plenary and special sessions, poster and oral presentations, symposiums, networking events, and exhibitor showcases. This structure allows attendees to explore emerging research, discover new tools, and exchange ideas with experts from around the world. ICISAS 2025 stands out for its involvement of senior government officials, global researchers, industry specialists, and technocrats. This broad representation ensures that discussions remain relevant to real-world challenges and that research outcomes can influence both policy development and industry practice. The conference is designed for academics, industry leaders, policymakers, innovators, technologists, and students who aim to advance sustainable business performance through science and technology. By connecting management, innovation, and sustainability, ICISAS 2025 offers a unique platform that supports the creation of responsible, future-ready, and high-value solutions.

ICISAS 2025 is the premier research conference of Curtin University Dubai, bringing together experts from multiple disciplines to explore how innovation and sustainability can shape the future of business and society. It provides a platform for sharing applied research that addresses global challenges through science, technology, and strategic management.The main purpose of the conference is to encourage collaboration across academic, industry, and policy sectors. It brings together leaders, researchers, technologists, and students to discuss solutions that unite sustainable practices with advanced technologies. This aligns directly with the book theme, which highlights how strong management strategies combined with intelligent systems can create long-term organizational value. ICISAS 2025 aims to highlight research that can be translated into practical improvements in business performance, governance, and societal well-being. Topics discussed include AI-driven decision making, sustainable leadership, robotics and automation, IoT-enabled operations, blockchain applications, and digital transformation strategies.The conference also explores human-centered themes such as workforce well-being, generational diversity, leadership effectiveness, and community development. These areas connect with the book's focus on integrating technology with sustainable management practices to build resilient and high-performing organizations. Over two days, participants engage in keynote lectures, plenary and special sessions, poster and oral presentations, symposiums, networking events, and exhibitor showcases. This structure allows attendees to explore emerging research, discover new tools, and exchange ideas with experts from around the world. ICISAS 2025 stands out for its involvement of senior government officials, global researchers, industry specialists, and technocrats. This broad representation ensures that discussions remain relevant to real-world challenges and that research outcomes can influence both policy development and industry practice. The conference is designed for academics, industry leaders, policymakers, innovators, technologists, and students who aim to advance sustainable business performance through science and technology. By connecting management, innovation, and sustainability, ICISAS 2025 offers a unique platform that supports the creation of responsible, future-ready, and high-value solutions.

ICISAS 2025 is the premier research conference of Curtin University Dubai, bringing together experts from multiple disciplines to explore how innovation and sustainability can shape the future of business and society. It provides a platform for sharing applied research that addresses global challenges through science, technology, and strategic management.The main purpose of the conference is to encourage collaboration across academic, industry, and policy sectors. It brings together leaders, researchers, technologists, and students to discuss solutions that unite sustainable practices with advanced technologies. This aligns directly with the book theme, which highlights how strong management strategies combined with intelligent systems can create long-term organizational value. ICISAS 2025 aims to highlight research that can be translated into practical improvements in business performance, governance, and societal well-being. Topics discussed include AI-driven decision making, sustainable leadership, robotics and automation, IoT-enabled operations, blockchain applications, and digital transformation strategies.The conference also explores human-centered themes such as workforce well-being, generational diversity, leadership effectiveness, and community development. These areas connect with the book's focus on integrating technology with sustainable management practices to build resilient and high-performing organizations. Over two days, participants engage in keynote lectures, plenary and special sessions, poster and oral presentations, symposiums, networking events, and exhibitor showcases. This structure allows attendees to explore emerging research, discover new tools, and exchange ideas with experts from around the world. ICISAS 2025 stands out for its involvement of senior government officials, global researchers, industry specialists, and technocrats. This broad representation ensures that discussions remain relevant to real-world challenges and that research outcomes can influence both policy development and industry practice. The conference is designed for academics, industry leaders, policymakers, innovators, technologists, and students who aim to advance sustainable business performance through science and technology. By connecting management, innovation, and sustainability, ICISAS 2025 offers a unique platform that supports the creation of responsible, future-ready, and high-value solutions.

ICISAS 2025 is the premier research conference of Curtin University Dubai, bringing together experts from multiple disciplines to explore how innovation and sustainability can shape the future of business and society. It provides a platform for sharing applied research that addresses global challenges through science, technology, and strategic management.The main purpose of the conference is to encourage collaboration across academic, industry, and policy sectors. It brings together leaders, researchers, technologists, and students to discuss solutions that unite sustainable practices with advanced technologies. This aligns directly with the book theme, which highlights how strong management strategies combined with intelligent systems can create long-term organizational value. ICISAS 2025 aims to highlight research that can be translated into practical improvements in business performance, governance, and societal well-being. Topics discussed include AI-driven decision making, sustainable leadership, robotics and automation, IoT-enabled operations, blockchain applications, and digital transformation strategies.The conference also explores human-centered themes such as workforce well-being, generational diversity, leadership effectiveness, and community development. These areas connect with the book's focus on integrating technology with sustainable management practices to build resilient and high-performing organizations. Over two days, participants engage in keynote lectures, plenary and special sessions, poster and oral presentations, symposiums, networking events, and exhibitor showcases. This structure allows attendees to explore emerging research, discover new tools, and exchange ideas with experts from around the world. ICISAS 2025 stands out for its involvement of senior government officials, global researchers, industry specialists, and technocrats. This broad representation ensures that discussions remain relevant to real-world challenges and that research outcomes can influence both policy development and industry practice. The conference is designed for academics, industry leaders, policymakers, innovators, technologists, and students who aim to advance sustainable business performance through science and technology. By connecting management, innovation, and sustainability, ICISAS 2025 offers a unique platform that supports the creation of responsible, future-ready, and high-value solutions.

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment.Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning.This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment.

Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning.

This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.