Cloud Computing, Big Data and Emerging Topics
Description
This book constitutes the revised selected papers of the 13th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2025, held in La Plata, Argentina, during June 24-26, 2025.
The 12 full papers presented were carefully reviewed and selected from 35 submissions. They were focused on topical sections as follows: Parallel and Distributed Computing; Machine and Deep Learning; Smart Cities and E-Government; Visualization; Emerging Topics and Innovation in Computer Science Education.
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Content
.- Parallel and Distributed Computing.
.- Implementation of Smart Electricity Meter.
.- Implementation of the Sylvester equation for HODLR and HALR H-matrices.
.- Machine and Deep Learning.
.- Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images.
.- Evaluating Large Language Models for the Generation of Unit Tests with Equivalence Partitions and Boundary Values.
.- Real Estate Market in Buenos Aires (Argentina): A Hedonic and Interpretable Machine Learning Approach.
.- Call Audit Automation in the "148" Government Helpline of Buenos Aires Province Using Generative Artificial Intelligence.
.- Building omnichannel intelligent virtual assistants.
.- Smart Cities and E-Government.
.- Smart Ecosystem to Assist Government Decisions in the Health Sector.
.- Visualization.
.- Optimization of Emergency Department Staff Configuration using Montecarlo Clustering Search Algorithm and ABM Simulation.
.- How to evolve from Problem to Agent-Based Simulator.
.- Emerging Topics.
.- Data Strategy for Competitiveness in Smart Territories.
.- Innovation in Computer Science Education.
.- Design of an Scent-Emitting Device and its Integration into an Immersive Virtual Reality Game.