Rocha / Adeli / Dzemyda Trends and Applications in Information Systems and Technologies
1. Auflage 2021
ISBN: 978-3-030-72657-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Volume 1
E-Book, Englisch, 599 Seiten
Reihe: Advances in Intelligent Systems and Computing
ISBN: 978-3-030-72657-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book is composed of a selection of articles from The 2021 World Conference on Information Systems and Technologies (WorldCIST'21), held online between 30 and 31 of March and 1 and 2 of April 2021 at Hangra de Heroismo, Terceira Island, Azores, Portugal.
WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern information systems and technologies research, together with their technological development and applications.
The main topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; N) Technologies for Biomedical Applications.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
The Analysis of Triples of Triangular Norms for the Subject Area of Passenger Transport Logistics.- Improved Multi-Scale Fusion of Attention Network for Hyperspectral Image Classification.- Modelling a Deep Learning Framework for Recognition of Human Actions on Video.- Benchmark of Encoders of Nominal Features for Regression.- Data Mining Approach to Classify Cases of Lung Cancer.- Emotion Recognition in Children with Autism SpectrumDisorder using Convolutional Neural Networks.
