International Conference on Applied Technologies
Description
This book constitutes the refereed proceedings of the 7th International Conference on Applied Technologies, ICAT 2025, held in Samborondón, Ecuador, during November 26-28, 2025.
The 25 full papers presented in this volume were carefully reviewed and selected from 95 submissions.These papers were organized into the following topical sections: AT for Engineering Applications; Communication; Computing; e-Learning; Electronics; Technology Trends; and Intelligent Systems.
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Content
.- AT for Engineering Applications
.- AI-Based Framework for Nutritional Label Processing and Consumer Guidance.
.- Communication
.- Monitoring and Control System for Treatment of Muscle Tears.
.- Computing
.- Systematic mapping of tools and platform for microservices deployment.
.- Predicting Energy Generation in Ecuador Using Machine Learning.
.- e-Learning
.- Perception of ChatGPT in university students to solve mathematics exercises.
.- Electronics
.- Transmission Loss Mitigation and Angular Margins Enhancement via OTS and PV in the IEEE 62-Bus Benchmark.
.- Selective Radiofrequency Hyperthermia System for Gastric Cancer Treatment.
.- Technology Trends
.- Comparison of metabolic indicators between administrative and operational workers in a company dedicated to the production of cocoa semi-finished products in Ecuador.
.- Reviewing recent presidential election strategies in Ecuador: A systematic approach.
.- Cryptocurrency Ranking Using Social Network Analysis.
.- Optimization of corn cultivation using climate prediction and nonlinear programming.
.- Mobile Application for Identification and Information of Medications for the Visually Impaired by OCR and Generative AI.
.- Impact of prolonged screen use on the onset of Computer Vision Syndrome in administrative workers at a regional coordination office in Ecuador.
.- Deep Learning Model for Short-Term Electricity Load Forecasting Based on SARIMA-LSTM Model with Data from Ecuador's National Interconnected System.
.- Bibliometric Analysis of Scientific Production on Multicriteria Decision-Making (MCDM) Methods.
.- Intelligent Systems
.- Optimization of a machine learning model for disease detection in banana leaves using SVD.
.- XCEPTION -BASED DEEP LEARNING MODEL FOR AUTOMATIC DETECTION OF COVID-19 IN CHEST X-RAYS.
.- Predictive analytics to determine alcohol consumption at events between two cities by implementing a Data Pipeline feeding an LSTM model.
.- Model for predicting dengue fever using machine learning in an Ecuadorian context.
.- Framework for Implementing LLMS for Software Quality.
.- Data Mining Algorithms Analysis for Species Conservation in the Galapagos Islands.
.- Prediction Model for Academic Burnout using Machine Learning in University Students.
.- Quantum and HPC-Aware Point Cloud Processing: A Semantic Segmentation Framework with Adaptive Attention.
.- Identity-Based Key-Insulated Multi-Copy Provable Data Possession Scheme for Secure Multi-Cloud Storage.
.- Dynamic Incremental Inverse Cloud Transformation for Uncertainty Modelling in Cloud Networking and Communication.
