Wasswa Shafik - Böcker

Sustainable Agriculture: Technologies, Application, and Practices provides readers with a foundational understanding of sustainable agriculture principles alongside the cutting-edge capabilities of artificial intelligence. It addresses the urgent need for innovative solutions in farming by examining the technological landscape that will shape the future of agriculture. This includes precision farming, robotics, data analytics, and crop genetics, all of which are aimed at fostering more efficient and sustainable agricultural practices.Structured into six well-organized sections, the book begins with foundational concepts of sustainability and the enabling technologies that support them. This includes in-depth discussions on the principles of sustainability, the role of technology in enhancing agricultural practices, and the socioeconomic impacts of sustainable farming. Subsequent chapters look into practical applications, showcasing how smart irrigation, crop monitoring, and supply chain optimization can significantly bolster sustainable operations. Each chapter provides case studies, and practical strategies to ensure a thorough understanding of how artificial intelligence can revolutionize sustainable agriculture.This book serves as an essential resource for upper-level undergraduate and graduate students studying sustainable agriculture, agricultural technology, and environmental science. It is equally beneficial for researchers, practitioners, and professionals in the fields of agricultural innovation, environmental sustainability, and data analytics. It offers additional resources such as PowerPoint slides to support student learning and facilitate classroom discussions.Examines the evolving landscape of sustainable agriculture, including its ecological, social, and economic dimensionsIntroduces the intersection of sustainable agriculture with environmental conservation and community developmentCovers the role of technological advancements in promoting sustainable agricultural practices and solving global food security challengesExplores sustainable agriculture principles and AI advancements for students and professionals in agriculture and technology fieldsIncludes PowerPoint slides that enhance learning and facilitate classroom instruction, making complex concepts more accessible

This book encompasses the development, implementation, and maintenance of socially, environmentally, and economically sustainable healthcare systems in Africa amidst the increasing utilization of disruptive technologies. This involves integrating technology, adopting sustainable practices, and effectively managing resources to ensure the long- term viability of healthcare services.Sustainable Healthcare Systems in Africa: Technologies, Practices, and Management addresses the unique challenges that Africa faces in the healthcare sector and meets the urgent need for detailed healthcare services that consider environmental, social, and economic sustainability. It tackles current challenges and opportunities, offering valuable insights that are relevant to the evolving healthcare landscape. By presenting practical examples and a solid understanding of sustainable healthcare practices, this book provides actionable guidance for healthcare professionals, policymakers, and other stakeholders. Taking a multidisciplinary approach that considers innovation, techniques, and management as a whole, this book recognizes the interconnected nature of these elements and offers a more holistic perspective on building and maintaining sustainable healthcare systems.The insights provided in this book will empower healthcare professionals, policymakers, and other stakeholders with the knowledge and tools necessary to drive positive change. It serves as a roadmap for decision-makers looking to implement lasting and impactful improvements in healthcare delivery throughout the continent.

This book offers an in-depth exploration of how innovative technologies are reshaping the landscape of cancer diagnosis, treatment, and care by examining the intersection of precision medicine, digital health, and disruptive scientific advances in oncology and focusing on the integration of molecular profiling, artificial intelligence, and digital health infrastructures to revolutionize cancer care. Through 15 detailed chapters, the book covers a range of cutting-edge topics, including the application of AI and deep learning in oncologic imaging, the rise of liquid biopsy techniques for non-invasive cancer detection, and the powerful synergy of radiogenomics in personalizing patient treatment. It delves into how multi-omics integration and systems biology are being leveraged to understand tumor biology better, predict disease progression, and identify novel therapeutic targets. The book also addresses the evolving role of AI in predictive modeling and decision support systems, providing clinicians with advanced tools for risk stratification and prognostic analysis. It explores the ethical and regulatory challenges of integrating digital technologies into clinical practice and offers a global perspective on the barriers to equitable access in cancer care. Designed for oncologists, researchers, data scientists, biomedical engineers, and healthcare professionals, Precision Digital Oncology bridges the gap between cutting-edge research and real-world application, providing a comprehensive, forward-looking roadmap for the future of cancer treatment. Whether you're exploring the impact of AI in cancer care or seeking insights into the future of digital health technologies, this book offers critical knowledge for anyone interested in the next generation of cancer research and therapeutic strategies.

Provides an overview of the challenges and opportunities presented by AI across the insurance value chain. As insurers rapidly integrate machine learning, deep learning, and predictive analytics into underwriting, claims processing, fraud detection, and pricing, the need for robust ethical frameworks and responsible AI governance has become paramount. The book serves as a foundational guide for developing AI systems in insurance that are not only efficient but also equitable and socially responsible.Algorithmic structures and data pipelines that shape modern insurance systems, that review potential sources of bias, opacity, and inequality are examined. The book addresses technical, legal, and organizational dimensions of ethical AI adoption—ranging from explainability and accountability mechanisms to data privacy, informed consent, and inclusion.The book is targeted at professionals, scholars, data scientists, actuaries, and policymakers.

This book provides a descriptive overview of blockchain technology domain, we observe a transformative influence that has surpassed its initial application in Bitcoin and has permeated nearly all industries.  The utilisation of distributed ledger technology presents a significant transformation in the realm of data management, trust, and transparency.  Its impact extends beyond financial transactions and encompasses other domains like supply chain optimization, identity verification, and the development of decentralized apps.  The process of transformation has been initiated in various industries, including finance, healthcare, and logistics.In contrast, there is a notable increase in the adoption of the smart circular economy frameworks as a response to the heightened acknowledgment of the environmental and resource-related obstacles linked to the traditional linear paradigm of "extract, produce, discard." The primary objective of the circular economy is to limit the generation of waste, advance sustainable product design, and promote responsible resource utilization through the facilitation of recycling, remanufacturing, and the prolongation of product lifespans.  This movement holds significance for various industries, including manufacturing, waste management, and sustainable consumerism, due to its wide-ranging ramifications.Its unique characteristic is its capacity to connect these two realms, emphasizing the potential of blockchain technology in facilitating transparent data management and smart contracts to advance the concepts of the circular economy.  The book offers a thorough examination of the topic, offering readers a grasp of the fundamental principles of blockchain as well as the dynamic field of sustainability.  This renders it an indispensable reference for individuals interested in the interdisciplinary ramifications of technology on sustainability, and the transformative possibilities of blockchain within the realm of resource-efficient and environmentally conscious approaches.  The book exemplifies a progressive perspective by demonstrating the significant role that inventive technology can assume in tackling the urgent issues of our era, revolutionising sectors, and influencing the trajectory of a more circular and environmentally conscious global society.

This book introduces a novel integration of Federated Learning with the vision of Healthcare 5.0 to enable secure, adaptive, and intelligent health systems. It presents cutting-edge frameworks that support decentralized model training across medical institutions while preserving patient privacy and ensuring compliance with data regulations.Focusing on real-world use cases, such as predictive diagnostics, edge-based patient monitoring, personalized medicine, and surgical robotics, it bridges theoretical advances with practical implementations. This book provides deep insights into the design of scalable, privacy-preserving artificial intelligence infrastructures suited for cross-institutional collaboration.It is designed for artificial intelligence researchers, digital health architects, healthcare technologists, and policy advisors. This supports the development of human-centric, resilient, and interoperable smart healthcare ecosystems.

This book addresses how the growth of AI could undermine fundamental human values such as privacy, security, employment, and democracy. It emphasizes the critical challenges that arise when artificial inteligence technologies operate without proper ethical oversight or regulation. Key topics include AI's potential for surveillance, the manipulation of media through deepfakes, autonomous weapons, and job displacement, as well as the growing concerns around algorithmic biases that may perpetuate social inequalities and harm marginalized communities. It offers insights into how AI can be integrated into society responsibly, while addressing the potential dangers that could threaten our future, making it relevant for those seeking to understand both the promise and peril of emerging AI technologies.

This book provides a comprehensive exploration of inclusive, sustainable development, emphasizing the critical need to integrate the perspectives and needs of people with disabilities and marginalized communities into the global sustainability transition to a sustainable future.

This book explores the critical role of technology in advancing the United Nations' 2030 Agenda for Sustainable Development. With the world facing pressing challenges like climate change, poverty, and environmental degradation, innovations such as artificial intelligence, big data, the Internet of Things, blockchain, and renewable energy are increasingly shaping global efforts to achieve the Sustainable Development Goals (SDGs).The book examines how these technologies are transforming key sectors, from agriculture and healthcare to energy and education, offering practical solutions to complex global problems. By focusing on each SDG, it provides a thorough look at how technological advancements are being applied to drive sustainable development. Through real-world case studies, the book discusses the practical challenges of scaling and financing these technologies while highlighting the importance of governance, policy, and international cooperation in their success. It also explores how governments, businesses, and global institutions can leverage these innovations to build more resilient and inclusive societies.This book is intended for scholars, policymakers, entrepreneurs, and professionals in sustainability who are seeking a deeper understanding of how technology can be integrated into strategies for achieving the SDGs. As the 2030 deadline approaches, it also offers insights into future trends and emerging technologies that will shape a more sustainable and equitable world in the years to come.

This book explores the intersection of artificial intelligence (AI) and sustainability in healthcare, focusing on how AI technologies are transforming medical practices while promoting environmentally responsible operations.