Trends and Applications in Information Systems and Technologies: Volume 4

by Álvaro Rocha (Editor), Hojjat Adeli (Editor), Gintautas Dzemyda (Editor), Fernando Moreira (Editor), Ana Maria Ramalho Correia (Editor)

Overview

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.

Product Details

ISBN-13:	9783030726539
Publisher:	Springer International Publishing
Publication date:	03/28/2021
Series:	Advances in Intelligent Systems and Computing , #1368
Edition description:	1st ed. 2021
Pages:	493
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Digital competences in European university teaching staff: teaching and guidance.- Context, input and process as critical elements for successful Emergency Remote Learning.- Strategies on teaching introducing to programming in higher education.- The Present State of System Analysis and Design in East Malaysia.- A Blockchain-based Loyalty Program for a Smart City.- Mixture-Based Open World Face Recognition.