Information Systems and Technologies

This book is composed of a selection of articles from the 11st World Conference on Information Systems and Technologies, held between 4 and 5 of April 2023, at Sant'Anna School of Advanced Studies, in Pisa, Italy. 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 and distinctive 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) HumanComputer Interaction; J) Ethics, Computers, and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

Presents recent research on information systems and technology Proceedings of the 11th World Conference on Information Systems and Technologies (WorldCIST'23) Written by experts in the field

Inhalt
Physarum-Inspired Enterprise Network Redesign.- Improving LoRaWAN RSSI-based Localization in Harsh Environments: The Harbor Use Case.- Impact of traffic sampling on LRD estimation.- Features Extraction and Structure Similarities Measurement of Complex Networks.- Technology use by Africa smallholder farmers and the significant mediating factors.- Balancing Plug-in for Stream-based Classification.- Explainable Classification of Wiki Streams.- Reconstruction of meteorological records with PCA-based Analog Ensembles methods.-Analysis of the characteristics of different peer-to-peer risky loans.- Physics-Informed Autoencoders with Intrinsic Differential Equations for Anomaly Detection in Industrial Processes.