يعرض 1 - 10 نتائج من 49 نتيجة بحث عن '"Saul Tovar-Arriaga"', وقت الاستعلام: 0.89s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Quasi/Periodic Noise Reduction in Images Using Modified Multiresolution-Convolutional Neural Networks for 3D Object Reconstructions and Comparison with Other Convolutional Neural Network Models

    المؤلفون: Osmar Antonio Espinosa-Bernal, Jesús Carlos Pedraza-Ortega, Marco Antonio Aceves-Fernandez, Victor Manuel Martínez-Suárez, Saul Tovar-Arriaga, Juan Manuel Ramos-Arreguín, Efrén Gorrostieta-Hurtado

    المصدر: Computers, Vol 13, Iss 6, p 145 (2024)

    مصطلحات موضوعية: 3D object, computer vision, CNN, fringe profilometry, filter, Moire noise, Electronic computers. Computer science, QA75.5-76.95

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2073-431X/13/6/145; https://doaj.org/toc/2073-431X

    URL الوصول: https://doaj.org/article/81ad9b0d2b5d422491ea02869532ac9c

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  2. 2
    دورية أكاديمية
    Nested Contrastive Boundary Learning: Point Transformer Self-Attention Regularization for 3D Intracranial Aneurysm Segmentation

    المؤلفون: Luis Felipe Estrella-Ibarra, Alejandro de León-Cuevas, Saul Tovar-Arriaga

    المصدر: Technologies, Vol 12, Iss 3, p 28 (2024)

    مصطلحات موضوعية: intracranial aneurysm segmentation, 3D point cloud segmentation, contrastive learning, Technology

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7080/12/3/28; https://doaj.org/toc/2227-7080

    URL الوصول: https://doaj.org/article/c1718a9c03a94a9f8558b6e28342bd59

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  3. 3
    دورية أكاديمية
    Deep Learning-Based Method for Classification and Ripeness Assessment of Fruits and Vegetables

    المؤلفون: Enoc Tapia-Mendez, Irving A. Cruz-Albarran, Saul Tovar-Arriaga, Luis A. Morales-Hernandez

    المصدر: Applied Sciences, Vol 13, Iss 22, p 12504 (2023)

    مصطلحات موضوعية: artificial intelligence, computer vision, deep learning, food waste, fruit, ripeness detection, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2076-3417/13/22/12504; https://doaj.org/toc/2076-3417

    URL الوصول: https://doaj.org/article/a9b37faa38034014ad44b9b14f99829e

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  4. 4
    دورية أكاديمية
    Segmentation of Retinal Blood Vessels Using Focal Attention Convolution Blocks in a UNET

    المؤلفون: Rafael Ortiz-Feregrino, Saul Tovar-Arriaga, Jesus Carlos Pedraza-Ortega, Juvenal Rodriguez-Resendiz

    المصدر: Technologies, Vol 11, Iss 4, p 97 (2023)

    مصطلحات موضوعية: retinal blood vessels, artificial intelligence, convolutional neural networks, attention module, segmentation, Technology

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7080/11/4/97; https://doaj.org/toc/2227-7080

    URL الوصول: https://doaj.org/article/46f8f27cf8314e3c8aa17447f7b3a62a

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  5. 5
    دورية أكاديمية
    A Novel Methodology for Classifying Electrical Disturbances Using Deep Neural Networks

    المؤلفون: Alma E. Guerrero-Sánchez, Edgar A. Rivas-Araiza, Mariano Garduño-Aparicio, Saul Tovar-Arriaga, Juvenal Rodriguez-Resendiz, Manuel Toledano-Ayala

    المصدر: Technologies, Vol 11, Iss 4, p 82 (2023)

    مصطلحات موضوعية: artificial intelligence, neural networks, deep learning, multitasking learning, solar photovoltaic, smart grids, Technology

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2227-7080/11/4/82; https://doaj.org/toc/2227-7080

    URL الوصول: https://doaj.org/article/ba07d259e36f4a5ba1b36977dbf4b68c

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  6. 6
    دورية أكاديمية
    Performance Evaluation of Different Object Detection Models for the Segmentation of Optical Cups and Discs

    المؤلفون: Gendry Alfonso-Francia, Jesus Carlos Pedraza-Ortega, Mariana Badillo-Fernández, Manuel Toledano-Ayala, Marco Antonio Aceves-Fernandez, Juvenal Rodriguez-Resendiz, Seok-Bum Ko, Saul Tovar-Arriaga

    المصدر: Diagnostics, Vol 12, Iss 12, p 3031 (2022)

    مصطلحات موضوعية: glaucoma, segmentation, object detection, Mask R-CNN, Cascade Mask R-CNN, instance segmentation, Medicine (General), R5-920

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2075-4418/12/12/3031; https://doaj.org/toc/2075-4418

    URL الوصول: https://doaj.org/article/605d7b433fb441f4926ffc7485a8ae52

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  7. 7
    دورية أكاديمية
    Chaining a U-Net With a Residual U-Net for Retinal Blood Vessels Segmentation

    المؤلفون: Gendry Alfonso Francia, Carlos Pedraza, Marco Aceves, Saul Tovar-Arriaga

    المصدر: IEEE Access, Vol 8, Pp 38493-38500 (2020)

    مصطلحات موضوعية: Retina vessel segmentation, convolutional neural network, U-Net, residual block, F1-Score, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9006842/; https://doaj.org/toc/2169-3536

    URL الوصول: https://doaj.org/article/4af65c5dc0ee4553bf172ab163441b35

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  8. 8
    دورية أكاديمية
    Alignment of the Measurement Scale Mark during Immersion Hydrometer Calibration Using an Image Processing System

    المؤلفون: Jose Emilio Vargas-Soto, Efren Gorrostieta-Hurtado, Luis Omar Becerra, Marco Antonio Aceves-Fernandez, Saul Tovar-Arriaga, Juan Manuel Ramos-Arreguin, Jesus Carlos Pedraza-Ortega, Luis Manuel Peña-Perez

    المصدر: Sensors, Vol 13, Iss 11, Pp 14367-14397 (2013)

    مصطلحات موضوعية: hydrometer calibration, image processing, Cuckow’s method, Chemical technology, TP1-1185

    وصف الملف: electronic resource

    Relation: http://www.mdpi.com/1424-8220/13/11/14367; https://doaj.org/toc/1424-8220

    URL الوصول: https://doaj.org/article/4d71605e786a43c9880c9ab3c413cb57

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  9. 9
    مؤتمر
    Design and construction of tools with reflecting-disks fiducials for optical stereo trackers: An afforable technique for navigation tools development

    المؤلفون: Israel, Perez-Arreguin Jorge, Carlos, Pedraza-Ortega Jesus, Jorge, Alvares-Servin, Saul, Tovar-Arriaga, Emilio, Vargas-Soto Jose, Susana, Vega-Hernandez

    المصدر: 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Electrical Engineering, Computing Science and Automatic Control (CCE), 2014 11th International Conference on. :1-6 Sep, 2014

    Relation: 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

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  10. 10
    A Novel Methodology for Classifying Electrical Disturbances Using Deep Neural Networks

    المؤلفون: Toledano-Ayala, Alma E. Guerrero-Sánchez, Edgar A. Rivas-Araiza, Mariano Garduño-Aparicio, Saul Tovar-Arriaga, Juvenal Rodriguez-Resendiz, Manuel

    المصدر: Technologies; Volume 11; Issue 4; Pages: 82

    مصطلحات موضوعية: artificial intelligence, neural networks, deep learning, multitasking learning, solar photovoltaic, smart grids, multiple electrical disturbances, power quality

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=multidiscipl::cd21038d527b196e3aab210484928215

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