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The attention of many developed countries has increasingly focused on the security and protection of critical infrastructure. The use of Unmanned Systems (USs) for this purpose has been growing rapidly in recent years, as advances in technology, increased versatility and smaller size, together with the reduced risks and costs associated with removing the need for a pilot or operator on board, have all made these systems more attractive.This book, Monitoring and Protection of Critical Infrastructure by Unmanned Systems, presents 15 papers delivered at the NATO Advanced Training Course (ATC) of the same name hosted in Chisinau, the Republic of Moldova, from 30 May to 5 June 2022. This event was held in a hybrid format, and was attended in-person by 12 of the 31 speakers and the majority of the 92 attendees. The aim of the ATC was to explore the monitoring and protection of critical infrastructure using USs. Various USs, including ground control stations (GCS), data communication links, and a range of unmanned aerial (UAV), ground (UGV) and underwater (UUV) vehicles are covered, and the papers included here also deal with topics such as the use of drones for buildings inspection and the new technologies which can help with the recognition and monitoring of anthropogenic threats and natural hazards. There is also a focus on data analysis and modeling.Providing an overview of the use of unmanned vehicle systems and sensor-network technology for monitoring and protection, the book will be of interest to all those working to protect critical infrastructure.

The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form.This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI.The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.

During his 31-year tenure as director of the U.S. National Library of Medicine (NLM), Donald A.B. Lindberg M.D. dramatically increased access to knowledge about health issues, medicine, medical care, the health professions, and health literacy. As an enthusiastic visionary with a plan, his aim was to bring about a more efficient transfer and use of information and data. Dr. Lindberg and the NLM helped transform and reshape medicine and the health system in the 20th and 21st centuries. Dr. Lindberg envisioned, encouraged, and supported the development of electronic health records and telemedicine. Coupled with the evolution of the Internet, these technologies made health systems more efficient for research, the delivery of clinical services, the education of health professionals, bioethics, improving the public's health literacy, and disease prevention strategies. Dr. Lindberg also was committed to enhancing the capacity of underserved and minority populations to make use of NLM's health information resources.Transforming Biomedical Informatics and Health Information Access is a tribute to Don Lindberg and the NLM. The book is divided into four sections. The first documents the advances in biomedical informatics during Dr. Lindberg's career, emphasizing the contributions made by teams of talented individuals at the NLM. The second section describes how the NLM's creation of new methods of access to diverse biomedical databases improved information access for healthcare professionals, biomedical researchers, and the public. The third section explains how NLM's outreach programs improved access to health information among underrepresented audiences and communities. The more informal fourth section provides brief memoirs about Dr. Lindberg's life, character, and humanism.

JURIX 2021 The Thirtyfourth Annual Conference Vilnius Lithuania 810 December 2021.

Proceedings of the Twelfth International Conference FOIS 2021.

The 11th International Conference on Electronics Communications and Networks CECNet November 1821 2.

Proceedings of the 2021 EFMI Special Topic Conference.