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Information Technology and Educational Management in the Knowledge Society
Information Technology and Educational Management in the Knowledge Society is an essential reference for both academic and professional researchers in the field of information technology and educational management. Since the mid-1980's, computer assisted educational information systems have been developing in various parts of the world and the knowledge surrounding the development and implementation of these systems has been growing. The papers presented in this volume are the result of an international call for papers addressing the challenges faced by the information technology and education management (ITEM) field in a society where knowledge management is becoming a major issue both in educational and business systems. This state-of-the-art volume presents the proceedings of the 6th International Working Conference on Information Technology in Educational Management, held July 2004 in Spain. The collection will be important not only for information technology and education management experts and researchers, but also for all teachers and administrators interested in this growing field.
Machine and Deep Learning in Oncology, Medical Physics and Radiology
This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Competencies in Organizational E-Learning: Concepts and Tools
This book addresses competencies as a key observable workplace behavior, driving learning and knowledge dissemination processes inside organizations providing information on implementing or improving competency-based approaches to e-learning.
Numerical Computations: Theory and Algorithms
The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2019, held in Crotone, Italy, in June 2019. This volume, LNCS 11973, consists of 34 full and 18 short papers chosen among papers presented at special streams and sessions of the Conference. The papers in part I were organized following the topics of these special sessions: approximation: methods, algorithms, and applications; computational methods for data analysis; first order methods in optimization: theory and applications; high performance computing in modelling and simulation; numbers, algorithms, and applications; optimization and management of water supply.
Neuroepigenomics in Aging and Disease
Epigenetic mechanisms (DNA modifications, histone alterations and non-coding RNAs) are crucial for transcriptional regulation and alterations of the “physiological epigenome” are increasingly associated with human diseases. During the last decade the emerging field of neuroepigenomics have started to impact tremendously in areas such learning and memory, addiction or neurodegeneration. This expert volume covers the role of epigenetic molecular mechanism in regulation of central nervous system’s function, one of the most exciting areas of contemporary molecular neuroscience. The book describes the current knowledge on the epigenetic basis of human disease covering the complete lifespan:...
Artificial Intelligence
Artificial intelligence (AI) is taking on an increasingly important role in our society today. In the early days, machines fulfilled only manual activities. Nowadays, these machines extend their capabilities to cognitive tasks as well. And now AI is poised to make a huge contribution to medical and biological applications. From medical equipment to diagnosing and predicting disease to image and video processing, among others, AI has proven to be an area with great potential. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.
Artificial Intelligence In Radiation Oncology
The clinical use of Artificial Intelligence (AI) in radiation oncology is in its infancy. However, it is certain that AI is capable of making radiation oncology more precise and personalized with improved outcomes. Radiation oncology deploys an array of state-of-the-art technologies for imaging, treatment, planning, simulation, targeting, and quality assurance while managing the massive amount of data involving therapists, dosimetrists, physicists, nurses, technologists, and managers. AI consists of many powerful tools which can process a huge amount of inter-related data to improve accuracy, productivity, and automation in complex operations such as radiation oncology.This book offers an ar...
