First used in military applications, unmanned aerial vehicles are becoming an integral aspect of modern society and are expanding into the commercial, scientific, recreational, agricultural, and surveillance sectors. With the increasing use of these drones by government officials, business professionals, and civilians, more research is needed to understand their complexity both in design and function. Unmanned Aerial Vehicles: Breakthroughs in Research and Practice is a critical source of academic knowledge on the design, construction, and maintenance of drones, as well as their applications across all aspects of society. Highlighting a range of pertinent topics such as intelligent systems, artificial intelligence, and situation awareness, this publication is an ideal reference source for military consultants, military personnel, business professionals, operation managers, surveillance companies, agriculturalists, policymakers, government officials, law enforcement, IT professionals, academicians, researchers, and graduate-level students.

This book includes high-quality research papers presented at International Workshop on Advances in Civil Aviation Systems Development (ACASD 2023), which was at National Aviation University, Kyiv Ukraine, on May 30, 2023. This book presents original results of a scholarly study of unique research teams and market leaders on the development in civil aviation systems and its application. The book topics include major research areas focused on advances in avionics system design, modern trends in communication, surveillance and navigation systems development, and civil avionics system maintenance questions. Also, proposed book is useful for scholars and professionals in the civil aviation domain.

The development of artificial intelligence (AI) involves the creation of computer systems that can do activities that would ordinarily require human intelligence, such as visual perception, speech recognition, decision making, and language translation. Through increasingly complex programming approaches, it has been transforming and advancing the discipline of computer science. The Handbook of Research on AI Methods and Applications in Computer Engineering illuminates how today’s computer engineers and scientists can use AI in real-world applications. It focuses on a few current and emergent AI applications, allowing a more in-depth discussion of each topic. Covering topics such as biomedical research applications, navigation systems, and search engines, this premier reference source is an excellent resource for computer scientists, computer engineers, IT managers, students and educators of higher education, librarians, researchers, and academicians.

What does responsibility mean in International Relations (IR)? This handbook brings together cutting-edge research on the critical debates about responsibility that are currently being undertaken in IR theory. This handbook both reflects upon an emerging field based on an engagement in the most crucial theoretical debates and serves as a foundational text by showing how deeply a discussion of responsibility is embedded in broader questions of IR theory and practice. Contributions cover the way in which responsibility is theorized across different approaches in IR and relevant neighboring disciplines and demonstrate how responsibility matters in different policy fields of global governance. Chapters with an empirical focus zoom in on particular actor constellations of (emerging) states, international organizations, political movements, or corporations, or address how responsibility matters in structuring the politics of global commons, such as oceans, resources, or the Internet. Providing a comprehensive overview of IR scholarship on responsibility, this accessible and interdisciplinary text will be a valuable resource for scholars and students in many fields including IR, international law, political theory, global ethics, science and technology, area studies, development studies, business ethics, and environmental and security governance.

The idea behind editing this book is to present a contemporary reference that tells the story of how businesses and institutions in emerging economies are circumventing or can better circumvent institutional voids in order to create distinct value for consumers and develop resilient and sustainable economies. For this book, we gathered 24 contributions (or chapters) on new directions and strategies to create value in emerging economies. The contributions span thematic areas such as: COVID-19 and small businesses, social influencers and COVID-19 advocacy, artisan entrepreneurship, leadership and project success, internationalization and intellectual property, cultural artifacts in corporate branding, fintech adoption, mobile money and agriculture value chain, workplace fraud, ethical decision-making in accountancy, modeling early detection of mother’s mode of delivery, assessment of health systems in Africa, online platforms and patient empowerment, students’ academic engagement and technology, and continuous use of e-learning among professional accounting students. The authors of these contributions discuss the relevance of each chapter to its target audience (practitioners and students). They also outline the implications for practice and policy (where applicable) alongside the concluding arguments of their respective chapters. In effect, the 24 chapters offer key strategic directions for businesses, public sector institutions, non-governmental organizations, and international development institutions to be more efficient and sustainably responsible in delivering distinctive value in emerging economies. Emerging economies have become an opportune interest of practitioners, entrepreneurs and policy makers worldwide. Hence, a contemporary text which explores how to create and deliver distinct value in these economies is a must a read.

The text presents aspects of virtual worlds and highlights the emerging trends in simulation and modeling, comprising machine learning, artificial intelligence, deep learning, robotics, cloud computing, and data mining algorithms. It further discusses concepts including multimedia for the Internet of Things, graphical modeling using emerging technologies, and securing communication with secure data transmission in the modeling of virtual worlds. This book: Discusses secure data transmission in the modeling of virtual worlds in the Internet of Things environment. Covers the integration of concepts and technical know-how about multiple technologies in visual world modeling, system configurations, and hardware issues. Explores the use of next-generation technologies such as deep learning, blockchain, and artificial intelligence in visual world modeling scenarios. Presents architectures and system models for the Internet of Things based visual world modeling systems. Provides real-time case scenarios, highlighting emerging challenges and issues. The text is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer engineering, and information technology.

This book introduces the reader to the latest innovations in fields such as artificial intelligence, systems biology or surgery, and gives advice on what new technologies to consider for becoming a market leader of tomorrow. Companies generally acquire information on these fields from various sources such as market reports, scientific literature or conference events, but find it difficult to distinguish between mere hype and truly valuable innovations. This book offers essential guidance in the form of structured and authoritative contributions by experts in innovative technologies spanning from biology and medicine to augmented reality and smart power grids. The authors identify high-potential fields and demonstrate the impact of their technologies to create economic value in real-world applications. They also offer business leaders advice on whether and how to implement these new technologies and innovations in their companies or businesses. Chapter 13 Analytic Philosophy for Biomedical Research: The Imperative of Applying Yesterday’s Timeless Messages to Today’s Impasses by Sepehr Ehsani is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

A team of launched and coordinated Unmanned aerial vehicles (UAVs), requires advanced technologies in sensing, communication, computing, and control to improve their intelligence and robustness towards autonomous operations. To enhance reliability, robustness, and mission capability of a team of UAVs, a system-oriented and holistic approach is desirable in which all components and subsystems are considered in terms of their roles and impact on the entire system. This volume aims to summarize the recent progress, identify challenges and opportunities, and develop new methodologies and systems on coordinated UAV control. A group of experts working in this area have contributed to this volume in several related aspects of autonomous control of networked UAVs. Their papers introduce new control methodologies, algorithms, and systems that address several important issues in developing intelligent, autonomous or semi-autonomous, networked systems for the next generation of UAVs. The papers share a common focus on improved coordination of the members of the networked system to accomplish a common mission, to achieve heightened capability in system reconfiguration to compensate for lost members or connections, and to enhance robustness against terrain complications and attacks.

Unmanned aerial vehicles (UAVs) and artificial intelligence (AI) are gaining the attention of academic and industrial researchers due to the freedoms that UAVs afford when operating and monitoring activities remotely. Applying machine learning and deep learning techniques can result in fast and reliable outputs and have helped in real-time monitoring, data collection and processing, and prediction. UAVs utilizing these techniques can become instrumental tools for computer/wireless networks, smart cities, military applications, agricultural sectors, and mining. Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques is an essential reference source that covers pattern recognition, machine and deep learning-based methods, and other AI techniques and the impact they have when applied to different real-time applications of UAVs. It synthesizes the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems, and numerous application areas. Covering topics such as vehicular surveillance systems, yield prediction, and human activity recognition, this premier reference source is a comprehensive resource for computer scientists; AI engineers; data scientists; agriculturalists; government officials; military leaders; business managers and leaders; students and faculty of higher education; academic libraries; academicians; and researchers in computer science, computer vision, pattern recognition, imaging, and engineering.

Combining emerging concepts, theories, and applications of human factors knowledge, this volume focuses on discovery and understanding of human performance issues in complex systems, including recent advances in neural basis of human behavior at work (i.e. neuroergonomics), training, and universal design. The book is organized into ten sections tha