Search Results - "Aceves-Fernandez, Marco Antonio" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Alignment of the measurement scale mark during immersion hydrometer calibration using an image processing system

Alignment of the measurement scale mark during immersion hydrometer calibration using an image processing system

by Peña-Perez, Luis Manuel, Pedraza-Ortega, Jesus Carlos, Ramos-Arreguin, Juan Manuel, Arriaga, Saul Tovar, Fernandez, Marco Antonio Aceves, Becerra, Luis Omar, Hurtado, Efren Gorrostieta, Vargas-Soto, Jose Emilio
Published in Sensors (Basel, Switzerland) (24.10.2013)

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Journal Article

Implementation of ANN-Based Auto-Adjustable for a Pneumatic Servo System Embedded on FPGA

Implementation of ANN-Based Auto-Adjustable for a Pneumatic Servo System Embedded on FPGA

by Cabrera-Rufino, Marco-Antonio, Ramos-Arreguín, Juan-Manuel, Rodríguez-Reséndiz, Juvenal, Gorrostieta-Hurtado, Efren, Aceves-Fernandez, Marco-Antonio
Published in Micromachines (Basel) (31.05.2022)

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Journal Article

Performance Evaluation of Different Object Detection Models for the Segmentation of Optical Cups and Discs

Performance Evaluation of Different Object Detection Models for the Segmentation of Optical Cups and Discs

by Alfonso-Francia, Gendry, Pedraza-Ortega, Jesus Carlos, Badillo-Fernández, Mariana, Toledano-Ayala, Manuel, Aceves-Fernandez, Marco Antonio, Rodriguez-Resendiz, Juvenal, Ko, Seok-Bum, Tovar-Arriaga, Saul
Published in Diagnostics (Basel) (01.12.2022)

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Journal Article

Reduced Calibration Strategy Using a Basketball for RGB-D Cameras

Reduced Calibration Strategy Using a Basketball for RGB-D Cameras

by Roman-Rivera, Luis-Rogelio, Sotelo-Rodríguez, Israel, Pedraza-Ortega, Jesus Carlos, Aceves-Fernandez, Marco Antonio, Ramos-Arreguín, Juan Manuel, Gorrostieta-Hurtado, Efrén
Published in Mathematics (Basel) (01.06.2022)

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Journal Article

Artificial Intelligence: Applications in Medicine and Biology

Artificial Intelligence: Applications in Medicine and Biology

Year of Publication 2019

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eBook

Artificial Intelligence: Emerging Trends and Applications

Artificial Intelligence: Emerging Trends and Applications

Year of Publication 2018

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eBook

Quasi/Periodic Noise Reduction in Images Using Modified Multiresolution-Convolutional Neural Networks for 3D Object Reconstructions and Comparison with Other Convolutional Neural Network Models

Quasi/Periodic Noise Reduction in Images Using Modified Multiresolution-Convolutional Neural Networks for 3D Object Reconstructions and Comparison with Other Convolutional Neural Network Models

by Espinosa-Bernal, Osmar Antonio, Pedraza-Ortega, Jesus Carlos, Aceves-Fernandez, Marco Antonio, Ma, Tovar-Arriaga, Saul, Ramos-Arreguin, Juan Manuel, Gorrostieta-Hurtado, Efren
Published in Computers (Basel) (01.06.2024)

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Journal Article

Modeling of Particulate Pollutants Using a Memory-Based Recurrent Neural Network Implemented on an FPGA

Modeling of Particulate Pollutants Using a Memory-Based Recurrent Neural Network Implemented on an FPGA

by Ramírez-Montañez, Julio Alberto, Rangel-Magdaleno, Jose de Jesús, Aceves-Fernández, Marco Antonio, Ramos-Arreguín, Juan Manuel
Published in Micromachines (Basel) (01.09.2023)

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Journal Article

A Robust Sphere Detection in a Realsense Point Cloud by USING Z-Score and RANSAC

A Robust Sphere Detection in a Realsense Point Cloud by USING Z-Score and RANSAC

by Roman-Rivera, Luis-Rogelio, Pedraza-Ortega, Jesus Carlos, Aceves-Fernandez, Marco Antonio, Ramos-Arreguín, Juan Manuel, Gorrostieta-Hurtado, Efrén, Tovar-Arriaga, Saúl
Published in Mathematics (Basel) (01.02.2023)

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Journal Article

Non-Invasive Prediction of Choledocholithiasis Using 1D Convolutional Neural Networks and Clinical Data

Non-Invasive Prediction of Choledocholithiasis Using 1D Convolutional Neural Networks and Clinical Data

by Mena-Camilo, Enrique, Salazar-Colores, Sebastián, Aceves-Fernández, Marco Antonio, Lozada-Hernández, Edgard Efrén, Ramos-Arreguín, Juan Manuel
Published in Diagnostics (Basel) (01.06.2024)

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Journal Article

Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction

Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction

by Vargas-Soto, José Emilio, Pedraza-Ortega, J. C., Domínguez-Guevara, Ricardo, Aceves-Fernandez, M. A.
Published in Discrete dynamics in nature and society (2020)

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Journal Article

Airborne Particulate Matter Modeling: A Comparison of Three Methods Using a Topology Performance Approach

Airborne Particulate Matter Modeling: A Comparison of Three Methods Using a Topology Performance Approach

by Ramírez-Montañez, Julio Alberto, Aceves-Fernández, Marco Antonio, Pedraza-Ortega, Jesús Carlos, Gorrostieta-Hurtado, Efrén, Sotomayor-Olmedo, Artemio
Published in Applied sciences (01.01.2022)

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Journal Article

Machine Learning and Data Mining Annual Volume 2023

Machine Learning and Data Mining Annual Volume 2023

Year of Publication 2023

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eBook

Swarm Intelligence: Recent Advances and Current Applications

Swarm Intelligence: Recent Advances and Current Applications

Year of Publication 2023

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eBook

Automatic Diagnosis of Cardiovascular Diseases Using Electrocardiogram Data and Artificial Intelligence Algorithms: A Systematic Review

Automatic Diagnosis of Cardiovascular Diseases Using Electrocardiogram Data and Artificial Intelligence Algorithms: A Systematic Review

by Vega, Roberto Mario Cadena, Hurtado, Efrén Gorrostieta, Fernández, Marco Antonio Aceves, Arreguin, Juan Manuel Ramos
Published in Telematics and Computing (2021)

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Book Chapter

KNN-based image segmentation for grapevine potassium deficiency diagnosis

KNN-based image segmentation for grapevine potassium deficiency diagnosis

by Rangel, Baldomero Manuel Sanchez, Fernandez, Marco Antonio Aceves, Murillo, Jesus Cardoso, Pedraza Ortega, Jesus Carlos, Arreguin, Juan Manuel Ramos
Published in 2016 International Conference on Electronics, Communications and Computers (CONIELECOMP) (01.02.2016)

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Conference Proceeding

Performance evaluation of a recurrent deep neural network optimized by swarm intelligent techniques to model particulate matter

Performance evaluation of a recurrent deep neural network optimized by swarm intelligent techniques to model particulate matter

by Kuri-Monge, Gerardo Javier, Aceves-Fernández, Marco Antonio, Pedraza-Ortega, Jesús Carlos
Published in Journal of the Air & Waste Management Association (1995) (03.10.2022)

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Journal Article

Risk map generation for keyhole neurosurgery using fuzzy logic for trajectory evaluation

Risk map generation for keyhole neurosurgery using fuzzy logic for trajectory evaluation

by De León-Cuevas, Alejandro, Tovar-Arriaga, Saúl, González-Gutiérrez, Arturo, Aceves-Fernández, Marco Antonio
Published in Neurocomputing (Amsterdam) (12.04.2017)

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Journal Article

A dataset on eye movement tracking during the resolution of neuropsychological tests on a screen

A dataset on eye movement tracking during the resolution of neuropsychological tests on a screen

by Cabrera-Hernández, María del Carmen, García-Ezquerra, Carlos Alberto, Aceves-Fernández, Marco Antonio, Pedraza-Ortega, Jesús Carlos, Tovar-Arriaga, Saúl
Published in Data in brief (01.08.2024)

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Journal Article

Classification of attention levels using a Random Forest algorithm optimized with Particle Swarm Optimization

Classification of attention levels using a Random Forest algorithm optimized with Particle Swarm Optimization

by Bedolla-Ibarra, María Guadalupe, Cabrera-Hernandez, Maria del Carmen, Aceves-Fernández, Marco Antonio, Tovar-Arriaga, Saul
Published in Evolving systems (01.10.2022)

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Journal Article