Roumen Kountchev – författare

Advances in Computational Vision and Robotics contains research papers from diverse field of engineering, computer science, social and bio-medical science. This book contains various research articles from the following domain:

i. Pattern recognition and Robotic Vision.

ii. Artificial Intelligence and Deep Learning application.

iii. Big Data Application in Robotics.

iv. Deep Learning and Neural Network.

This volume is a result of the fruitful and vivid discussions during the MedDecSup''2012 International Workshop bringing together a relevant body of knowledge, and new developments in the increasingly important field of medical informatics. This carefully edited book presents new ideas aimed at the development of intelligent processing of various kinds of medical information and the perfection of the contemporary computer systems for medical decision support. The book presents advances of the medical information systems for intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and of the global healthcare system. The book combines in a synergistic way theoretical developments with the practicability of the approaches developed and presents the last developments and achievements in  medical informatics to a broad range of readers: engineers, mathematicians, physicians, and PhD students.

This volume introduces new approaches in intelligent control area fromboth the viewpoints of theory and application. It consists of eleven contributionsby prominent authors from all over the world and an introductory chapter. Thisvolume is strongly connected to another volume entitled "New Approaches inIntelligent Image Analysis" (Eds. Roumen Kountchev and Kazumi Nakamatsu).

The chapters ofthis volume are self-contained and include summary, conclusion and futureworks. Some of the chapters introduce specific case studies of various intelligentcontrol systems and others focus on intelligent theory based control techniqueswith applications. A remarkable specificity of this volume is that threechapters are dealing with intelligent control based on paraconsistent logics.

Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems.

The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

This book features selected papers presented at the 3rd International Conference on Wireless Communications and Applications (ICWCA 2019), held at Hainan University, China. Focusing on applications of the latest smart theories and approaches, and recent advances in the field, it covers topics such as OFDM and multi-carrier techniques; smart antenna and space-time signal processing; MIMO, multi-user MIMO, and massive MIMO; modulation, coding, and diversity techniques; dynamic spectrum access and cognitive radio; interference management and radio resource allocation; equalization techniques; synchronization, estimation, and detection techniques; and wireless multiple access (e.g. CDMA, OFDMA, NOMA, ).