This book constitutes the proceedings of the 11th Ecuadorian Conference on Information and Communication Technologies, TICEC 2023, held in Cuenca, Ecuador, during October 18-20, 2023.
The 31 full papers presented were carefully reviewed and selected from 120 submissions. The papers cover a great variety of topics, such as internet of things, cyber-physical systems, human-machine interface, artificial Intelligence, e-Learning, smart healthcare, smart healthcare and others.
The papers are organized in the following topical sections: data science and machine learning; ICTs and their applications; and software development.
Inhaltsverzeichnis
Data Science and Machine Learning: Uncovering the Effects of the Russia-Ukraine Conflict on Cryptocurrencies: A Data-driven Analysis with Clustering and Biplot Techniques. - Human Trafficking in Social Networks: A Review of Machine Learning Techniques. - Exploring the Performance of Deep Learning in High-Energy Physics. - Human actions recognition system based on Neural Networks. - Big Data Architecture for Air Pollution Spatial Visualization: Quito, Ecuador. - The Role of Twitter in Media Coverage during Humanitarian Crises. Data mining from International News Agencies. - Applied Metaheuristics in International Trading: A Systematic Review. - Finding an Integrated Ultraviolet Radiation Index Using Fuzzy Logic Techniques. - Forecasting the Consumer Price Index of Ecuador using Classical and Advanced Time Series Models. - Forecasting PM2. 5 concentrations in ambient air using a transformer based neural network. - MachineLearning Applied to the Analysis of Glacier Masses. - Profit vs Accuracy: Balancing the Impact on Users Introduced by Profit-Aware Recommender Systems. - Augmenting Data with DCGANs to Improve Skin Lesions Classification. - Unraveling the power of 4D residual blocks and transfer learning in violence detection. - ICTs and their Applications: Brainwaves communication system for people with reduced mobility and verbal impairment. - Advanced metrics to evaluate autistic children' s attention and emotions from facial characteristics using a human-robot-game interface. - Performance analysis of You Only Look Once, RetinaNet, and Single Shot Detector applied to vehicle detection and counting. - Tumor kidney segmentation from CT images using residual U-net architecture. - Classification of Alzheimer disease s Severity Using Support Vector Machine and Deep Feature Extraction of Convolutional Neural Networks: a Contrasting of Methodologies. - Creation of an alert device for early detection of epilepsy using an EEG signal power threshold. - Optimal location of the electric vehicle charging stands using multi-objective evolutionary algorithms: Cuenca city as a case study. - Detecting Parkinson s Disease with Convolutional Neural Networks: Voice Analysis and Deep Learning. - Hyperparameter Tuning in a Dual Channel U-Net for Medical Image Segmentation. - Vitreous Hemorrhage Segmentation in Fundus Images by using an Efficient-UNet Network. - A non-invasive portable solution to estimate hemoglobin levels in the blood. - Mask R-CNN and YOLOv8 comparison to perform tomato maturity recognition task. - Software Development. - Development of a distributed hydrological model of continuous generation, in a GIS environment. - A Domain-Specific Language and Model-Based Engine for Implementing IoT Dash- board Web Applications. - Feasibility of using serious MIDI-AM videogames as resources in early childhood education. - Search and Visualization of Researcher Networks: Co-authorship in Ecuador. - Visualization Models Applied to Atmospheric Pollutants and Meteorological Variables: A Systematic Literature Review.
