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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.
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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Inhaltsangabe
.- 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.
.- 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.
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