Information and Communication Technologies
11th Ecuadorian Conference, TICEC 2023, Cuenca, Ecuador, October 18-20, 2023, Proceedings
Herausgegeben:Maldonado-Mahauad, Jorge; Herrera-Tapia, Jorge; Zambrano-Martínez, Jorge Luis; Berrezueta, Santiago
Information and Communication Technologies
11th Ecuadorian Conference, TICEC 2023, Cuenca, Ecuador, October 18-20, 2023, Proceedings
Herausgegeben:Maldonado-Mahauad, Jorge; Herrera-Tapia, Jorge; Zambrano-Martínez, Jorge Luis; Berrezueta, Santiago
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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.…mehr
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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.
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.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 1885
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-45437-0
- 1st ed. 2023
- Seitenzahl: 500
- Erscheinungstermin: 7. Oktober 2023
- Englisch
- Abmessung: 235mm x 155mm x 27mm
- Gewicht: 750g
- ISBN-13: 9783031454370
- ISBN-10: 3031454375
- Artikelnr.: 68784344
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Communications in Computer and Information Science 1885
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-45437-0
- 1st ed. 2023
- Seitenzahl: 500
- Erscheinungstermin: 7. Oktober 2023
- Englisch
- Abmessung: 235mm x 155mm x 27mm
- Gewicht: 750g
- ISBN-13: 9783031454370
- ISBN-10: 3031454375
- Artikelnr.: 68784344
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.
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.