Autors: Kountchev, R. K., Mironov, R. P., Shengqing Li.
Title: Preface - New Approaches for Multidimensional Signal Processing
Keywords: Pattern Recognition, Deep Learning, Machine Learning, Machine Intelligence, Neural Networks, Self-organization Modeling, Biomedicine, Biological Modeling, Bio-inspired Methods, Biomedical Computing, Financial Modeling, Social Modeling, Medical Imagistic, Virtual Reality, Augmented Reality, Computer Graphics, Computer Animation, Applications in Ecology

Abstract: This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2020), held at Technical University of Sofia, Sofia, Bulgaria, during 09–11 July 2020. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multiview visualization, forensic analysis systems for MD images and many more.



    Smart Innovation, Systems and Technologies, vol. 216, pp. ix - x, 2021, Singapore, Springer Nature, ISBN 978-981334675-8, DOI:n 10.1016/B978-012422490-2/50000-3

    Copyright Springer Nature Singapore Pte Ltd.

    Вид: книга/глава(и) от книга, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science