http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
International Conference on Applied Technologies
7th International Conference on Applied Technologies, ICAT 2025, Samborondón, Ecuador, November 26-28, 2025, Revised selected papers
ICAT (International Conference on Applied Technologies) 2025 : Samborondón, Ecuador)
1 online resource (xviii, 380 pages) : illustrations.
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.
Miguel Botto-Tobar, Lohana Lema Moreta, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrion, Benjamin Durakovic, editors.
Communications in computer and information science ; 2949