International Conference on Applied Technologies
International Conference on Applied Technologies
5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part I
Torres-Carrion, Pablo; Botto-Tobar, Miguel; Zambrano Vizuete, Marcelo; Montes Leon, Sergio; Durakovic, Benjamin
Springer International Publishing AG
05/2024
279
Mole
9783031589553
15 a 20 dias
.- 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.
.- 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.