This book includes the proceedings of the Second International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2018), held in Moscow, Russia, on 6-8 October 2018. The conference covered advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. The papers presented in the book discuss topics in mathematics and biomathematics; medical approaches; and technological and educational approaches. Given the rapid development of artificial intelligence systems, the book highlights the need for more intensive training for a growing number of specialists, particularly in medical engineering, to increase the effectiveness of medical diagnosis and treatment.

This book presents recent advancements in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, it will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres.

This book presents the fundamental principles and challenges encountered in the control of biomedical systems, providing practical solutions and suggesting alternatives. The perspective of the text is based on the system behaviour in the time domain both linear and non-linear, continuous and discrete, helping the reader to be able to interpret the physical significance of mathematical results during control system analysis and design focusing on biomedical engineering applications.

Clinical Engineering is intended for professionals and students in the clinical engineering field who need to successfully deploy medical technologies. The book provides a broad reference to the core elements of the subject and draws from the expertise of a range of experienced authors. In addition to engineering skills, clinical engineers must be able to work with patients and with a range of professional staff, including technicians and clinicians, and with equipment manufacturers.

This text provides a look at how techniques in Computational intelligence (CI) can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular to the field. This text also provides applications and information on the benefits of applying CI techniques to improve medical diagnostics.

This book presents the outcomes of the 15th International Conference on Distributed Computing and Artificial Intelligence, held in Toledo (Spain) from the 20th to 22nd of June 2018 and hosted by the UCLM, which brought together researchers and developers from the industry, education and the academic worlds to report on the latest scientific research, technical advances and methodologies. Highlighting multi-disciplinary and transversal aspects, the book focuses on the conferences Special Sessions, including Advances in Demand Response and Renewable Energy Sources in Smart Grids (ADRESS); AI- Driven Methods for Multimodal Networks and Processes Modeling (AIMPM); Social Modelling of Ambient Intelligence in Large Facilities (SMAILF); Communications, Electronics and Signal Processing (CESP); Complexity in Natural and Formal Languages (CNFL); and Web and Social Media Mining (WASMM).

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering.

This book highlights the applications of soft computing techniques in medical bioinformatics. It reflects the state-of-the-art research in soft computing and bioinformatics, including theory, algorithms, numerical simulations, and error and uncertainty analysis. It also deals with novel applications of new processing techniques in computer science.