Samuel Fosso Wamba – författare

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists.Features:Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformaticsProvides a comprehensive and balanced blend of topics and applications using various advanced algorithmsPresents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutionsDiscusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applicationsIncludes recent achievements in AI and bioinformatics contributed by a global team of researchers

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists.Features:Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformaticsProvides a comprehensive and balanced blend of topics and applications using various advanced algorithmsPresents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutionsDiscusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applicationsIncludes recent achievements in AI and bioinformatics contributed by a global team of researchers

This book provides the key technologies involved in an organization’s digital transformation. It offers a deep understanding of the key technologies (Blockchain, AI, Big Data, IoT, etc.) involved and details the impact, the decision-making process, and the interplay between technologies, business models, and operations. Managing the Digital Transformation: Aligning Technologies, Business Models, and Operations provides frameworks and models to support digital transformation projects. The book presents the importance of digital transformation as a resilience approach to the operations processes and business models. It covers the essential elements integrating the technology, the organizations, the operations, and supply chain management used to move toward digital transformation. Concepts and mini-case studies are included to provide a deeper understanding of digital transformation projects with a holistic view. The book also examines the role that digital transformation plays with consideration of inter-organizational and intra-organizational capabilities, along with the role of digital culture, the worker’s skills, business models, reconfiguration, as well as an operations optimization angle. Practitioners, consultants, governments, managers, scholars, and anyone interested in digital transformation will find the contents of this book very useful.

This book provides the key technologies involved in an organization’s digital transformation. It offers a deep understanding of the key technologies (Blockchain, AI, Big Data, IoT, etc.) involved and details the impact, the decision-making process, and the interplay between technologies, business models, and operations. Managing the Digital Transformation: Aligning Technologies, Business Models, and Operations provides frameworks and models to support digital transformation projects. The book presents the importance of digital transformation as a resilience approach to the operations processes and business models. It covers the essential elements integrating the technology, the organizations, the operations, and supply chain management used to move toward digital transformation. Concepts and mini-case studies are included to provide a deeper understanding of digital transformation projects with a holistic view. The book also examines the role that digital transformation plays with consideration of inter-organizational and intra-organizational capabilities, along with the role of digital culture, the worker’s skills, business models, reconfiguration, as well as an operations optimization angle. Practitioners, consultants, governments, managers, scholars, and anyone interested in digital transformation will find the contents of this book very useful.

This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.With contributions from leading academics and practitioners, the Handbook analyses how big data analytics can be used in different sectors, including detecting credit fraud in the financial sector, identifying potential diseases in health care, and increasing customer loyalty in the telecommunication sector. Chapters explore the use of artificial intelligence in accounting, the construction of successful data science ecosystems using the public cloud, and transformational models of personal data protection in the digital era. The Handbook also discusses the difficulties of adopting a data science platform and how the public cloud can aid companies in overcoming these challenges.Exploring how industries rely on predictive analytics to improve their decision-making, this Handbook will be essential reading for students and scholars in business analytics, economics, information systems, innovation and technology, and research methods. It will also benefit data analysts, economists, human resource managers, marketers, neuroscientists, and social science researchers.

This book provides a comprehensive exploration of how sustainability-driven HRM practices can advance employee well-being, quality education, and gender equality in the workplace. By aligning human resource strategies with the Sustainable Development Goals (SDGs)—particularly SDG 3 (Good Health and Well-being), SDG 4 (Quality Education), and SDG 5 (Gender Equality)—this book highlights the crucial role HR plays in fostering inclusive, equitable, and thriving work environments. Organizations today face increasing pressure to balance profitability with social responsibility. Employee well-being is no longer a secondary concern but a key driver of productivity, engagement, and retention. Providing lifelong learning opportunities ensures that employees remain adaptable in a rapidly evolving job market, while gender equality initiatives create diverse and innovative workplaces that reflect societal progress. Despite growing awareness, many companies struggle to implement effective and measurable policies that integrate these critical aspects of sustainability into their HR frameworks. This book shows how sustainability affects human-centered development through workplace health, learning, gender fairness, and technology usage. This book reveals that sustainability needs to focus on human needs before environmental concerns so developments become inclusive and serve people over the long term. This book shows researchers and students from many global backgrounds how organizations can use technology to make their institutions more social and sustainable. This book sets out to solve this challenge by offering research-backed insights, case studies, and actionable strategies that organizations can implement to foster sustainable growth. It explores—Employee Well-being and Mental Health—strategies for fostering a culture of well-being, including workplace wellness programs, psychological safety, and work-life balance initiatives. The Role of HR in Lifelong Learning—How organizations can bridge the skills gap through corporate training, digital literacy, and continuous education programs.