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Clinical Cases in Facial Erythema
Clinical cases are a key component in modern medical education, assisting the trainee or recertifying clinician to work through unusual cases using best practice techniques. "Red Face" is an important topic in this regard since it is a highly visual subject requiring the reader to describe often very subtle differences in the presentation of patients and define accurately the diagnostic and management criteria to base their clinical decision-making on. Clinical Cases in Facial Erythema highlights evidence-based best practice through a multidisciplinary approach that is relevant to dermatologists, as well as pharmacologists and pathologists.
Proceedings of International Conference on Emerging Technologies and Intelligent Systems
This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on three different themes, including software engineering, ICT in education, and management information systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications of intelligent systems and their applications.
Proceedings of International Conference on Emerging Technologies and Intelligent Systems
This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on four different themes, including Artificial Intelligence and Soft Computing, Information Security and Networking, Medical Informatics, and Advances in Information Systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications of intelligent systems and their applications.
Machine Learning for Complex and Unmanned Systems
This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss misce...
ʻĀlam al-bināʾ
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State of the Art in Neural Networks and Their Applications
State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe di...
Financial Cryptography and Data Security
This book constitutes the refereed proceedings of two workshops held at the 24th International Conference on Financial Cryptography and Data Security, FC 2020, in Kota Kinabalu, Malaysia, in February 2020. The 39 full papers and 3 short papers presented in this book were carefully reviewed and selected from 73 submissions. The papers feature four Workshops: The 1st Asian Workshop on Usable Security, AsiaUSEC 2020, the 1st Workshop on Coordination of Decentralized Finance, CoDeFi 2020, the 5th Workshop on Advances in Secure Electronic Voting, VOTING 2020, and the 4th Workshop on Trusted Smart Contracts, WTSC 2020. The AsiaUSEC Workshop contributes an increase of the scientific quality of rese...
Handbook of Research on Machine Learning Innovations and Trends
Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.
