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1	Material Type: Article	Vehicle and Pedestrian Detection in Traffic Videos Using Convolutional Neural Networks ESPOCH congresses, 2022-09, Vol.2 (5), p.1301-1312 [Peer Reviewed Journal] ISSN: 2789-5009 ;EISSN: 2789-5009 ;DOI: 10.18502/espoch.v2i5.11734 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Inteligencia artificial: reemplazo, hibridación... ¿progreso? Nueva sociedad, 2023-09 (307), p.67-81 Copyright Fundacion Foro Nueva Sociedad Sep/Oct 2023 ;ISSN: 0251-3552 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	OBJECT RECOGNITION FROM VIDEO SEQUENCES IN REAL TIME USING DEEP LEARNING TECHNIQUES Telem@tica (La Habana), 2021-01, Vol.20 (2) [Peer Reviewed Journal] EISSN: 1729-3804 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Tendencias investigativas frente al uso de Inteligencia Artificial en contextos universitarios RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação, 2023-07 (E59), p.245-260 [Peer Reviewed Journal] 2023. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1646-9895 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	$Utilidad del Deep Learning en la predicción del fracaso empresarial en el ámbito europeo$ $Utilidad del Deep Learning en la predicción del fracaso empresarial en el ámbito europeo$ Material Type: Article	Utilidad del Deep Learning en la predicción del fracaso empresarial en el ámbito europeo Revista de métodos cuantitativos para la economía y la empresa, 2021, Vol.32, p.392-414 [Peer Reviewed Journal] ISSN: 1886-516X ;EISSN: 1886-516X ;DOI: 10.46661/revmetodoscuanteconempresa.5172 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Drones and deep learning produce accurate and efficient monitoring of large-scale seabird colonies Ornithological Applications, 2021-08, Vol.123 (3), p.1-16 [Peer Reviewed Journal] The Author(s) 2021. Published by Oxford University Press for the American Ornithological Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;Copyright American Ornithological Society Aug 1, 2021 ;ISSN: 0010-5422 ;EISSN: 2732-4621 ;EISSN: 1938-5129 ;DOI: 10.1093/ornithapp/duab022 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Estimating Acceleration from a Single Uniform Linear Motion-Blurred Image using Homomorphic Mapping and Machine Learning Ingeniería (Bogotá, Colombia : 1993), 2024-01, Vol.29 (1), p.e20057-e20057 ISSN: 0121-750X ;EISSN: 2344-8393 ;DOI: 10.14483/23448393.20057 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	The Prediction of Dry Weight for Chronic Hemodialysis Athletes Using a Machine Learning Approach: Sports Health Implications Revista de psicología del deporte, 2024-01, Vol.33 (1), p.68 [Peer Reviewed Journal] 2024. This work is published under http://creativecommons.org/licenses/by-sa/3.0/es/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1132-239X ;EISSN: 1988-5636 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Evaluación del aprendizaje profundo metacognitivo y autodeterminado en estudiantes universitarios (Metacognitive and self-determined deep learning assessment in university students) Retos (Madrid), 2023-03, Vol.48, p.861-872 [Peer Reviewed Journal] 2023. This work is licensed under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1579-1726 ;EISSN: 1988-2041 ;DOI: 10.47197/retos.v48.93421 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments International journal of interactive multimedia and artificial intelligence, 2020-03, Vol.6 (1), p.84-90 COPYRIGHT 2020 IMAI Software ;LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI \| INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI ;ISSN: 1989-1660 ;EISSN: 1989-1660 ;DOI: 10.9781/ijimai.2019.06.001 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Imaged based identification of colombian timbers using the xylotron: a proof of concept international partnership Colombia forestal, 2021-01, Vol.24 (1), p.5-16 [Peer Reviewed Journal] This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. ;ISSN: 0120-0739 ;EISSN: 2256-201X ;DOI: 10.14483/2256201X.16700 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Assessing the effectiveness of transfer learning strategies in BLSTM networks for speech denoising Tecnología en Marcha, 2022-11, Vol.35 (4), p.42-49 [Peer Reviewed Journal] LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI \| INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI ;ISSN: 2215-3241 ;ISSN: 0379-3962 ;ISSN: 0379-3982 ;EISSN: 2215-3241 ;DOI: 10.18845/tm.v35i8.6448 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Artificial Intelligence based Multi-sensor COVID-19 Screening Framework Tecnología en Marcha, 2022-11, Vol.35 (4), p.101-109 [Peer Reviewed Journal] LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI \| INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI ;ISSN: 0379-3982 ;ISSN: 2215-3241 ;ISSN: 0379-3962 ;EISSN: 2215-3241 ;DOI: 10.18845/tm.v35i8.6460 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Groundwater contamination source estimation based on a refined particle filter associated with a deep residual neural network surrogate Hydrogeology journal, 2022-05, Vol.30 (3), p.881-897 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-022-02454-z Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Development of a Smartphone Application and Chrome Extension to Detect Fake News in English and European Portuguese Revista IEEE América Latina, 2024-04, Vol.22 (4), p.294-303 EISSN: 1548-0992 ;DOI: 10.1109/TLA.2024.10472958 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Table of Contents September 2022 Revista IEEE América Latina, 2022-09, Vol.20 (9), p.2122-2122 EISSN: 1548-0992 ;DOI: 10.1109/TLA.2022.9878166 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Deep learning representations to support COVID-19 diagnosis on CT slices Biomédica, 2022-03, Vol.42 (1), p.170-183 [Peer Reviewed Journal] This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 0120-4157 ;ISSN: 2590-7379 ;EISSN: 2590-7379 ;DOI: 10.7705/biomedica.5927 ;PMID: 35471179 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	ANALYSIS IN SILICO OF TRANSPOSABLE ELEMENTS: TOWARDS TOOLS BASED ON MACHINE LEARNING BAG. Journal of basic and applied genetics, 2021-10, Vol.32, p.48 [Peer Reviewed Journal] Copyright Sociedad Argentina de Genetica Oct 2021 ;ISSN: 1666-0390 ;EISSN: 1852-6233 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Detección de pistas aéreas ilegales en imágenes digitales empleado técnicas de inteligencia artificial Revista ciencia y poder aéreo, 2023, Vol.18 (1), p.47-56 [Peer Reviewed Journal] LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI \| INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI ;ISSN: 2389-9468 ;ISSN: 1909-7050 ;EISSN: 2389-9468 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Assessing Human Settlement Sprawl in Mexico via Remote Sensing and Deep Learning Revista IEEE América Latina, 2024-03, Vol.22 (3), p.174-185 EISSN: 1548-0992 ;DOI: 10.1109/TLA.2024.10431421 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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ISSN: 2789-5009 ;EISSN: 2789-5009 ;DOI: 10.18502/espoch.v2i5.11734

Copyright Fundacion Foro Nueva Sociedad Sep/Oct 2023 ;ISSN: 0251-3552

EISSN: 1729-3804

2023. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1646-9895

ISSN: 1886-516X ;EISSN: 1886-516X ;DOI: 10.46661/revmetodoscuanteconempresa.5172

ISSN: 0121-750X ;EISSN: 2344-8393 ;DOI: 10.14483/23448393.20057

2024. This work is published under http://creativecommons.org/licenses/by-sa/3.0/es/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1132-239X ;EISSN: 1988-5636

2023. This work is licensed under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1579-1726 ;EISSN: 1988-2041 ;DOI: 10.47197/retos.v48.93421

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. ;ISSN: 0120-0739 ;EISSN: 2256-201X ;DOI: 10.14483/2256201X.16700

Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-022-02454-z

EISSN: 1548-0992 ;DOI: 10.1109/TLA.2024.10472958

EISSN: 1548-0992 ;DOI: 10.1109/TLA.2022.9878166

This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 0120-4157 ;ISSN: 2590-7379 ;EISSN: 2590-7379 ;DOI: 10.7705/biomedica.5927 ;PMID: 35471179

Copyright Sociedad Argentina de Genetica Oct 2021 ;ISSN: 1666-0390 ;EISSN: 1852-6233

EISSN: 1548-0992 ;DOI: 10.1109/TLA.2024.10431421

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