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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.
.- 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.
