Books published by IGI Global

Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientists' ability to unlock critical insights into biological systems, personalized medicine, and biomarker identification. This untapped potential hinders progress and limits our capacity to tackle complex biological challenges. The solution to this issue lies within the pages of Applying Machine Learning Techniques to Bioinformatics . This book serves as a powerful resource, offering a comprehensive analysis of how these emerging disciplines can be effectively applied to the realm of biological research. By addressing these challenges and providing in-depth case studies and practical implementations, the book equips researchers, scientists, and curious minds with the knowledge and techniques needed to navigate the ever-changing landscape of bioinformatics and machine learning within the biological sciences.

"This book highlights the revolutionary potential of combining AI with digital twin technology. In today's data-driven and complex business world, organizations may achieve operational excellence, innovation, and competitive advantage by using the power of these technologies"--

In recent years, the advent of biosensors and bioelectronics has facilitated the swift and precise detection of numerous biomolecules or pathogens in animal samples, aquatic habitats, and plants. These technologies have emerged as potent assets for the agriculture and aquaculture industries. Many experts have raised the question; how might the integration of biosensors into portable devices or automated monitoring systems enable on-site and real-time detection of diverse biomolecules or pathogens? Agriculture and Aquaculture Applications of Biosensors and Bioelectronics presents the recent developments in biological recognition elements, transducer materials, and signal processing techniques for biosensors and bioelectronics used in agriculture and aquaculture applications. Sophisticated biosensors and bioelectronics operate through the immobilization of biological recognition components-such as enzymes or antibodies-on a transducer surface. This immobilization process allows for the targeted recognition and binding of biomolecules or pathogens. The resulting electrical, optical, or chemical changes triggered by the recognition event are quantifiable through various methods and are often enhanced by applications utilizing artificial intelligence (AI). The necessity for high sensitivity and selectivity, the optimization of biocompatibility and stability, and the integration of biosensors with AI-aided solutions are just some of the challenges and opportunities in developing biosensors for high-tech agriculture and aquaculture. This book targets a mixed audience of biotechnology engineers, biosensors scientists, bioelectronics researchers, high-tech agriculture analysts, Ph.D. scholars, researchers, academics, professionals, engineers, and students.

The chasm between the physical capabilities of Intelligent Robotics and Autonomous Systems (IRAS) and their cognitive potential presents a formidable challenge. While these machines exhibit astonishing strength, precision, and speed, their intelligence and adaptability lag far behind. This inherent limitation obstructs the realization of autonomous systems that could reshape industries, from self-driving vehicles to industrial automation. The solution to this dilemma is unveiled within the pages of Modeling, Simulation, and Control of AI Robotics and Autonomous Systems . Find within the pages of this book answers for the cognitive deficit within IRAS. While these systems boast remarkable physical capabilities, their potential for intelligent decision-making and adaptation remains stunted, thereby bringing innovation to a halt. Solving this issue would mean the re-acceleration of multiple industries that could utilize automation to prevent humans from needing to do work that is dangerous, and could revolutionize transportation, and more.

The Covid-19 pandemic has accelerated the adoption of Smart Working (SW) and Distance Learning (DL), leading to concerns about their overall effectiveness despite initial efficiency. Limited research on the positive and negative effects of these practices has left decision-makers ill-equipped to navigate their complexities. To address this knowledge gap, Innovation Capabilities and Entrepreneurial Opportunities of Smart Working , edited by Beatrice Orlando from the University of Ferrara, Italy, provides a comprehensive resource to explore the multifaceted effects of SW and DL. The book covers topics such as efficiency, effectiveness, knowledge management, individual impact, and broader social, economic, and business implications, equipping both academic scholars and practitioners with the necessary knowledge to understand and leverage SW and DL effectively. It empowers decision-makers to make informed choices, develop innovative strategies, and maximize benefits while mitigating potential negative effects. By offering a comprehensive examination of the present and future impact of SW and DL, Innovation Capabilities and Entrepreneurial Opportunities of Smart Working emerges as an indispensable solution. The book enables scholars to contribute groundbreaking research and assists practitioners in making informed decisions that will shape the future of work and learning in the digital age. With its fresh insights and evidence-based research, it equips readers to navigate the complexities of SW and DL, driving meaningful change and fostering innovation in organizations and educational institutions.

During the COVID-19 pandemic, many coronavirus-positive patients faced myriad health issues during treatment and post treatment. Many people who lost their lives due to COVID-19 infection were also prone to other, previously established health issues including heart diseases, diabetes, hypertension, and more. It is essential to explore these different health issues and complications that patients face during and after COVID-19 treatment with respect to a global treatment group and the methods employed by healthcare professionals to help them overcome these complications with medicine and other treatments and precautions. Clinical Practice and Post-Infection Care for COVID-19 Patients creates a platform for healthcare professionals to share their experiences and treatments while handling COVID-19 patients during the pandemic and post-pandemic periods. The case studies and issues with heart patients and related diseases during the pandemic mentioned in this book can help medical care providers guide patients to take appropriate precautions well in advance of any adverse conditions, preserving their health and ability to recover. This book is ideally designed for medical practitioners, medical teachers, medical students, researchers, hospital administrators, nurses, and heart patients.

The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.

As societies strive for progress, the need to ensure equal access to education for all, irrespective of socioeconomic, ethnic, or gender backgrounds, emerges as a pivotal factor. In the thought-provoking book, Socio-Economic Implications of Global Educational Inequalities , the complex interplay between education and its profound impact on human capital, economic growth, and development is meticulously explored. The book delves into the multifaceted dimensions of education as a critical determinant of income and gender disparities, poverty levels, and financial sector advancement. Drawing on the expertise of professional researchers, this comprehensive work presents a panoramic view of the socio-economic implications of educational inequalities on a global scale. By examining the profound link between education and various societal aspects, the book opens avenues for insightful discussions and strategic policymaking. In addition to catering to scholars and researchers, this book addresses a broader audience, including individuals, managers, and governmental employees who recognize education's pivotal role in shaping economic, financial, and social landscapes.

Mathematical writing is essential for students' math learning, but it's often underutilized due to unclear guidelines. Mathematical writing is a mode of communication that provides teachers access to their students' thinking and, importantly, offers students an opportunity to deepen their mathematical understanding, engage in mathematical reasoning, and learn a fundamental way to communicate mathematically. Notably, one needs to be able to judiciously combine mathematical symbols, representations, and text. However, more research is needed to exemplify the qualities of mathematical writing, develop implementation methods, and support teachers. Illuminating and Advancing the Path for Mathematical Writing Research , is a necessary comprehensive resource designed to enhance mathematical writing and promote equitable learning. This research book provides a comprehensive understanding of the current state of mathematical writing and illuminates various perspectives on moving the teaching and learning of k-12 mathematical writing forward. Mathematical writing is an important yet underutilized component of mathematical discourse, and this book offers further insight into understanding what it means to write mathematically for mathematics educators and researchers. It informs with research-based implementation strategies and creates purposeful professional learning opportunities. Ultimately, k-12 students will benefit from a more informed field because they will have access to a vital mode of mathematical reasoning and communication.

Metaverse Applications for Intelligent Healthcare explores the exciting intersection of artificial intelligence (AI) and the metaverse in the field of healthcare. The use of AI technology in healthcare has already shown great potential in assisting with diagnosis, treatment, and patient care. The metaverse, with its immersive virtual environments, has the potential to revolutionize healthcare by making it more accessible, efficient, and personalized. This book introduces various applications of the metaverse in healthcare, including virtual consultations, remote patient monitoring, and virtual rehabilitation. The book discusses how the metaverse can be used to provide immersive experiences that empower patients and providers, while also offering unique learning opportunities. The book is ideal for researchers, practitioners, healthcare professionals, scholars, and students who are interested in exploring the cutting-edge technology of AI and the metaverse in healthcare. It offers insights into the future of healthcare, and how these technologies can be used to provide better care to patients. By combining the latest research in AI and the metaverse, this book provides a comprehensive overview of the potential applications of these technologies in healthcare.

Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.

Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.

Never has the world been so heavily marked by the escalating challenges of climate change, dwindling natural resources, and escalating environmental crises. Finding viable solutions has become increasingly imperative as a result of these challenges. The daunting issue at hand is the dire need for financing sustainable initiatives that can effectively combat these global challenges. This financial gap often poses a significant roadblock, hindering progress towards a more environmentally conscious and sustainable future. Sustainable Investments in Green Finance serves as a resource to examine this issue and provide solutions. This meticulously researched book offers real-world case studies that not only highlight the gravity of these challenges but also present tangible solutions. Readers will explore a myriad of sustainable finance mechanisms, collaborative stakeholder efforts, and visionary project objectives that have successfully navigated these obstacles. The book also delves into topics such as the renewable energy revolution, sustainable infrastructure transformations, green bonds, climate finance, nature-based solutions, circular economy innovations, and socially responsible investing.

Perspectives on Artificial Intelligence in Times of Turbulence: Theoretical Background to Applications offers a comprehensive exploration of the intricate relationship between artificial intelligence (AI) and the ever-changing landscape of our society. The book defines AI as machines capable of performing tasks that were once exclusive to human cognition. However, it emphasizes the current limitations of AI, dispelling the notion of sophisticated cyborgs depicted in popular culture. These machines lack self-awareness, struggle with understanding context-especially in language-and are constrained by historical data and predefined parameters. This distinction sets the stage for examining AI's impact on the job market and the evolving roles of humans and machines. Rather than portraying AI as a threat, this book highlights the symbiotic relationship between humans and machines. It recognizes that while certain jobs may become obsolete, new opportunities will emerge. The unique abilities of human beings-such as relational skills, emotional intelligence, adaptability, and understanding of differences-will continue to be indispensable in a rapidly transforming society. Its perspectives cover a wide range of topics such as business sustainability, change management, cybersecurity, digital economy and transformation, information systems management, management models and tools, and continuous improvement are comprehensively addressed. Additionally, the book delves into healthcare, telemedicine, Health 4.0, privacy and security, knowledge management, learning, and presents real-world case studies. Designed for researchers and professionals seeking to enhance their knowledge and research capabilities, this book offers a consistent theoretical and practical foundation. It serves as a springboard for further studies, supports change management initiatives within organizations, and facilitates knowledge sharing among experts. This book is an essential companion for colleges with master's and Ph.D. degree investigators, and researchers across a wide range of disciplines.

"This book embarks on a profound exploration of the intricate and continually evolving terrain of diversity, equity, inclusion, and organizational development across the realms of Healthcare, Education, Business, and Technology"--

The post-pandemic era has brought about significant disruptions to the human resources management function, exacerbating existing challenges such as labor shortages and global skills gaps. As a result, effectively managing employee engagement and productivity in a multigenerational workforce has become more challenging than ever. Enhancing Employee Engagement and Productivity in the Post-Pandemic Multigenerational Workforce , editors Even and Christiansen provide a holistic perspective on the changing global landscape of human resources management. The book offers practical insights and strategies for managing employee engagement and productivity in a multigenerational workforce, including DEI, work-life balance, job satisfaction, and hiring and retention practices. Targeting academic scholars in the human resource management sphere, this publication offers a contemporary resource that addresses the current challenges faced by businesses and organizations. Whether you're a scholar-practitioner or graduate student, this book provides a comprehensive guide to navigating the post-pandemic multigenerational workforce and enhancing employee engagement and productivity.