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Etcm 2024 8th Ecuador Technical Chapters Meeting(2)
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Leveraging Deep Learning Techniques for Marine and Coastal Wildlife Using Instance Segmentation: A Study on Galápagos Sea Lions
OtherAbstract: Instance segmentation is a powerful deep learning technique that goes beyond traditional object detePalabras claves:Deep learning, Detectron2, Drones, Instance segmentation, Vision Computer, YOLOAutores:Alexander Toala-Paz, Alisson Constantine, Diego Páez-Rosas, Enrique Pelaez, Suárez-Moncada J.M.Fuentes:scopusEmbryo Quality and in Vitro Fertilization Outcome Prediction Using Machine Learning and Explainability
OtherAbstract: Evaluation of embryo quality is crucial for the success of implantation and the rate of live birth iPalabras claves:Embryo quality, Machine Learning, random forest, SHAP, XAIAutores:Alisson Constantine, Ana Tapia-Rosero, Edson Lo Turco, Edwin Valarezo Anazco, Enrique Pelaez, Fernanda Bertuccez Cordeiro, Fernando Prado Ferreira, Francis Roderich Loayza ParedesFuentes:scopusA Practical Computer Vision-Based Advanced Nutritional Analyzer for Adult Diets
OtherAbstract: This project tackles the challenge of subjectivity in the nutritional assessment of meals, specificaPalabras claves:Computer Vision, convolutional neural networks, Ecuadorian Menu, nutrition, Semantic SegmentationAutores:Alisson Constantine, Nelson Vera, Rebeca Leonor Estrada PicoFuentes:scopusA Sharper Look: Edge Detection and Light-Weight 3D Vision Transformers for Parkinsonian Disorder Classification on MRI Imaging
OtherAbstract: Parkinson's disease (PD) is a progressive neurological disorder that affects motor function and is oPalabras claves:Deep learning, Edge detection, parkinsonian disorders, Pattern recognition, vision TransformersAutores:Alisson Constantine, Ana Briones Chonillo, Carlos Jimenez Farfan, Edwin Valarezo Anazco, Enrique Pelaez, Francis Roderich Loayza ParedesFuentes:scopusAnatomical Footprint of the Impulse Control Disorders in Parkinson’s Disease: A Convolutional Vision Transformers Approach
OtherAbstract: Impulse Control Disorder in Parkinson’s patients are a psychiatric condition characterized by patholPalabras claves:Deep learning, Impulse control disorder, PÁRKINSON, vision TransformersAutores:Alisson Constantine, Carlos Jimenez Farfan, Edwin Valarezo Anazco, Enrique Pelaez, Francis Roderich Loayza Paredes, Gianpaolo Maggi, Obeso I.Fuentes:scopusConvolutional Neural Network-based Classification of Parkinsonian Voice Disorders: A Spectrogram Approach
OtherAbstract: Parkinson's disease produces a progressive degradation of motor (tremor, rigidity and slowness of moPalabras claves:convolutional neural networks, Deep learning, Parkinson Disease, Residual Neural Networks, Voice AnalysisAutores:Alisson Constantine, Carlos Jimenez Farfan, Carmen Gasca-Salas, Clara Trompeta, Edwin Valarezo Anazco, Enrique Pelaez, Francis Roderich Loayza Paredes, Josue Tomala, Juan Solá, Máñez-Miró J.U., Michael Arce Sierra, Raúl Martinez-FernándezFuentes:scopusBCI system using a novel processing technique based on electrodes selection for hand prosthesis control
Conference ObjectAbstract: This work proposes an end-to-end model architecture, from feature extraction to classification usingPalabras claves:Bio-signals analysis, Brain-Computer Interface, Embedded Systems, Fpga, neural networksAutores:Alisson Constantine, Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis Roderich Loayza Paredes, Victor Asanza ArmijosFuentes:scopusData Imaging Acquisition and Processing as a Methodology for Estimating the Population of Frigates Using UAVs
Conference ObjectAbstract: In the last decades many seabirds populations had suffered decreasing in their numbers, sometimes unPalabras claves:Autores:Alisson Constantine, Daniel Ochoa Donoso orcid, Lisbeth Mena, Pedro Villegas, Ricardo Villalba BrionesFuentes:scopusImplementation of a Classification System of EEG Signals Based on FPGA
Conference ObjectAbstract: In the field of prosthetics, different technologies have been incorporated in recent years to improvPalabras claves:electroencephalography, Embedded Systems, Fpga, neural networks, Pattern recognitionAutores:Alisson Constantine, Enrique Pelaez, Stephany Valarezo, Victor Asanza ArmijosFuentes:googlescopus