This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (World CIST’24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland.
World CIST 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) Human-Computer 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.
The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.
Innehållsförteckning
An Overview on the Use of Machine Learning Algorithms for Identifying Anomalies in Industrial Valves.- Framework for Real-time Predictive Maintenance supported by Big Data Technologies.- Emotional evaluation on open-ended responses with transformer models.- Big data analytics in the supply chain: a bibliometric review of scholarly research from 2012 to 2023.- Human-machine interface based on electromyographic (EMG) signals aimed at limb rehabilitation for diabetic patients.- Incidence assessment of diabetes by delegation in the United Mexican States applying the multilayer perceptron neural network.- Exploiting Physarum-inspired Vacant Particle Transport Model to Redesign an Enterprise Network.- SIMULATION OF AUTONOMOUS DRIVING SYSTEMS FOR THE CITY OF MACAS USING MATLAB DRIVING SCENARIO DESIGN APP.
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