International Conference on Applied Technologies 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22–24, 2023, Revised Selected Papers, Part I

The three-volume proceedings set CCIS 2049, 2050 and 2051 constitutes the refereed proceedings of the 5th International Conference on Applied Technologies on International Conference on Applied Technologies, ICAT 2023, held in Samborondon, Ecuador, November 22–24, 2023.

The 66 papers included in these proceedings were carefully reviewed and selected from 250 submissions. They are organized in sections by topics as follows: Intelligent Systems, Communications, e-Commerce, e-Government, e-Learning, Electronics, Machine Vision, Security, Technology Trends, and Z AT for Engineering Aplications.

.- Intelligent Systems.

.- Mobile Application for Calorie Control using Machine Learning.

.- Application of Machine Learning for Air Quality Analysis.

.- Unsupervized Techniques to Identify Patterns in Gynecologic Information.

.- Web Application for Early Cataract Detection Using a Deep Learning Cloud Service.

.- Analyze and implement a reinforced AI chatbot in Guayaquil to improve mental health in adolescents with the use of the neural generative models.

.- Detection of Ovarian Cancer Using Improved Deep Learning Model.

.- Navigating the Chatbot Terrain: AI-driven Conversational Interfaces.

.- INTELLIGENT VIRTUAL ASSISTANT FOR ELEVATORS POWERED BY FACIAL RECOGNITION AND VOICE COMMANDS.

.- Otsu Segmentation and Deep Learning Models for the Detection of Melanoma.

.- Hybrid Residual Network and XGBoost Method for the Accurate Diagnosis of Lung Cancer.

.- Generic Framework of New Era Artificial Intelligence and its Applications.

.- Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen.

.- Improving Dynamic Behavior of Vehicular Ad Hoc Networks by Integrating Game Theory Technique.

.- Machine Learning to investigate determinants of Intention to Purchase Organic Food.

.- INFLUENCE ANALYSIS OF DRIVING STYLE ON THE ENERGY CONSUMPTION OF AN ELECTRIC VEHICLE THROUGH PID SIGNALS STUDY.

.- Prediction of Academic Outcomes using Machine Learning Techniques: A Survey of Findings on Higher Education.

.- Identification of factors and teacher profile associated with student performance using fuzzy techniques and data mining.

.- Predictive model for accurate horticultural product pricing using Machine Learning.

.- Analysis of Driving Style and its Influence on Fuel Consumption for the City of Quito, Ecuador: A Data-Driven Study.

.- Preventing Drug Interactions in Diabetic Patients: The Role of a Mobile Conversational Agent.