يعرض 1 - 20 نتائج من 481 نتيجة بحث عن '"red neuronal convolucional"', وقت الاستعلام: 2.98s تنقيح النتائج
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    Dissertation/ Thesis
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    Dissertation/ Thesis

    المؤلفون: Kushibar, Kaisar

    المساهمون: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors

    Thesis Advisors: Valverde Valverde, Sergi, Oliver i Malagelada, Arnau, Lladó Bardera, Xavier

    المصدر: TDX (Tesis Doctorals en Xarxa)

    Time: 616.8

    وصف الملف: application/pdf

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    Academic Journal
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    Academic Journal

    المصدر: JAIIO, Jornadas Argentinas de Informática; Vol. 10 Núm. 11 (2024): SAIV - Simposio Argentino de Imágenes y Visión; 89-98 ; JAIIO, Jornadas Argentinas de Informática; Vol. 10 No. 11 (2024): SAIV - Argentine Symposium on Images and Vision; 89-98 ; 2451-7496

    وصف الملف: application/pdf

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    Academic Journal

    المصدر: International Journal of Psychological Research; Vol. 17 No. 2 (2024): Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind; 91-99 ; International Journal of Psychological Research; Vol. 17 Núm. 2 (2024): Enfoques interdisciplinarios de la cognición humana: ampliando las perspectivas sobre la mente; 91-99 ; 2011-7922 ; 2011-2084

    وصف الملف: application/pdf

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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Academic Journal

    المصدر: Ingeniería; Vol. 29 No. 2 (2024): May-August; e21408 ; Ingeniería; Vol. 29 Núm. 2 (2024): Mayo-agosto; e21408 ; 2344-8393 ; 0121-750X

    وصف الملف: text/xml; application/pdf

    Relation: https://revistas.udistrital.edu.co/index.php/reving/article/view/21408/20502; https://revistas.udistrital.edu.co/index.php/reving/article/view/21408/20151; M. Ramamurthy and V. Lakshminarayanan, “Human vision and perception,” in Handbook of Advanced Lighting Technology, Cham: Springer International Publishing, 2015, pp. 1-23.; J. C. Suárez, “Discapacidad visual y ceguera en el adulto: revisión de tema,” Med. U.P.B., vol. 30, no. 2, pp. 170-180, 2011.; J. Alberich, D. Gómez, and A. Ferrer, Percepción Visual, 1st ed., Barcelona, Spain: Universidad Oberta de Catalunya, 2014.; D. Parra, “Los ciegos en el censo del 2018,” Instituto Nacional para Ciegos INCI, 2020. [Online]. Available: https://www.inci.gov.co/blog/los-ciegos-en-el-censo-2018; M. del R. Yepes, “La intermediación en la inclusión laboral de la población con discapacidad visual,” Instituto Nacional para Ciegos INCI2. [Online]. Available: https://www.inci.gov.co/blog/la-intermediacion-en-la-inclusion-laboral-de-la-poblacion-con-discapacidad-visual; Banco de la República, “Marca táctil en los billetes,” 2016. [Online]. Available: https://www.banrep.gov.co/es/node/31529; Orcam, “OrCam MyEye,” 2023. [Online]. Available: https://www.orcam.com/en-us/myeye-store; M. Doudera, “Cash reader: Bill identifier,” mobile app, Google Play, 2024. https://play.google.com/store/apps/details?id=com.martindoudera.cashreader&hl=en&gl=US; C. Aramendiz U., D. Escorcia G., J. Romero C., K. Torres R., and C. Triana P., “Sistema basado en reconocimiento de objetos para el apoyo a personas con discapacidad visual (¿Que tengo enfrente?),” Investig. y Desarro. en TIC, vol. 11, no. 2, pp. 75-82, 2020. https://revistas.unisimon.edu.co/index.php/identic/issue/view/261; S. Vaidya, N. Shah, N. Shah, and R. Shankarmani, “Real-time object detection for visually challenged people,” in 2020 4th Int. Conf. Intell. Com. Control Syst. (ICICCS), 2020, pp. 311-316. https://doi.org/10.1109/ICICCS48265.2020.9121085; M. Awad, J. El Haddad, E. Khneisser, T. Mahmoud, E. Yaacoub, and M. Malli, “Intelligent eye: A mobile application for assisting blind people,” in 2018 IEEE Middle East North Africa Comm. Conf. (MENACOMM), 2018, pp. 1-6. https://doi.org/10.1109/MENACOMM.2018.8371005; J. Tamayo, “Sistema de reconocimiento de billetes para personas con discapacidad visual mediante visión artificial,” undergraduate thesis, EIA University, 2018. https://repository.eia.edu.co/entities/publication/321a4983-afec-4865-9915-4ede5b26a435; J.-Y. Lin, C.-L. Chiang, M.-J. Wu, C.-C. Yao, and M.-C. Chen, “Smart glasses application system for visually impaired people based on deep learning,” in 2020 Indo – Taiwan 2nd Int. Conf. Comp. Analytics Net. (Indo-Taiwan ICAN), 2020, pp. 202-206. https://doi.org/10.1109/Indo-TaiwanICAN48429.2020.9181366; O. Stephen, Y. J. Jang, T. S. Yun, and M. Sain, “Depth-wise based convolutional neural network for street imagery digit number classification,” in 2019 IEEE Int. Conf. Comp. Sci. Eng. (CSE) and IEEE Int. Conf. Embedded Ubiq. Comp. (EUC), 2019, pp. 133-137. https://doi.org/10.1109/CSE/EUC.2019.00034; Joshua, J. Hendryli, and D. E. Herwindiati, “Automatic License Plate Recognition for Parking System using Convolutional Neural Networks,” in 2020 Int. Conf. Inf. Manag. Technol. (ICIMTech), 2020, pp. 71-74. https://doi.org/10.1109/ICIMTech50083.2020.9211173; S. M. M. Roomi and R. B. J. Rajee, “Coin detection and recognition using neural networks,” in 2015 Int. Conf. Circuits, Power Comput. Technol. [ICCPCT-2015], 2015, pp. 1-6. https://doi.org/10.1109/ICCPCT.2015.7159434; N. Capece, U. Erra, and A. V. Ciliberto, “Implementation of a Coin Recognition System for Mobile Devices with Deep Learning,” in 2016 12th Int. Conf. Signal-Image Technol. Internet-Based Syst. (SITIS), 2016, pp. 186-192. https://doi.org/10.1109/SITIS.2016.37; J. Xu, G. Yang, Y. Liu, and J. Zhong, “Coin Recognition Method Based on SIFT Algorithm,” in 2017 4th Int. Conf. Inf. Sci. Control Eng. (ICISCE), 2017, pp. 229-233. https://doi.org/10.1109/ICISCE.2017.57; S. Mittal and S. Mittal, “Indian Banknote Recognition using Convolutional Neural Network,” in 2018 3rd Int. Conf. Internet Things: Smart Innov. Usages (IoT-SIU), 2018, pp. 1-6. https://doi.org/10.1109/IoT-SIU.2018.8519888; A. U. Tajane, J. M. Patil, A. S. Shahane, P. A. Dhulekar, S. T. Gandhe, and G. M. Phade, “Deep Learning Based Indian Currency Coin Recognition,” in 2018 Int. Conf. Adv. Commun. Comput. Technol. (ICACCT), 2018, pp. 130-134. https://doi.org/10.1109/ICACCT.2018.8529467; N. A. J. Sufri, N. A. Rahmad, N. F. Ghazali, N. Shahar, and M. A. As’ari, “Vision Based System for Banknote Recognition Using Different Machine Learning and Deep Learning Approach,” in 2019 IEEE 10th Control Syst. Grad. Res. Colloq. (ICSGRC), 2019, pp. 5-8. https://doi.org/10.1109/ICSGRC.2019.8837068; U. R. Chowdhury, S. Jana, and R. Parekh, “Automated System for Indian Banknote Recognition using Image Processing and Deep Learning,” in 2020 Int. Conf. Comput. Sci., Eng. Appl. (ICCSEA), 2020, pp. 1-5. https://doi.org/10.1109/ICCSEA49143.2020.9132850; R. Tasnim, S. T. Pritha, A. Das, and A. Dey, “Bangladeshi Banknote Recognition in Real-time using Convolutional Neural Network for Visually Impaired People,” in 2021 2nd Int. Conf. Robotics, Electr. Signal Process. Tech. (ICREST), 2021, pp. 388-393. https://doi.org/10.1109/ICREST51555.2021.9331182; Google Play, “Android Accessibility Suite,” Talkback, 2023. [Online]. Available: https://play.google.com/store/apps/details?id=com.google.android.marvin.talkback&hl=en_US&gl=US; B. Dwyer, J. Nelson, and J. Solawetz, “Software Roboflow (Version 1.0).” Roboflow Inc., 2022. https://roboflow.com/; E. Bisong, “Google colaboratory,” in Building Machine Learning and Deep Learning Models on Google Cloud Platform, Berkeley, CA: Apress, 2019, pp. 59–64.; Taryana Suryana, “Rational Unified Process (RUP),” Ration. Unified Process, vol. 3, no. September, pp. 1-6, 2007.; D. Trenkler, “A handbook of small data sets: Hand, D.J., Daly, F., Lunn, A.D., McConway, K.J. & Ostrowski, E. (1994): Chapman & Hall, London. xvi + 458 pages, including one diskette with data files (MS-DOS), 40 British Pounds, ISBN 0-412-39920-2,” Comput. Stat. Data Anal., vol. 19, no. 1, p. 101, Jan. 1995.; Wikipedia, “System usability scale,” 2024. [Online]. Available: https://en.wikipedia.org/wiki/System_usability_scale; https://revistas.udistrital.edu.co/index.php/reving/article/view/21408

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    Academic Journal
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    Conference

    Relation: info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/PDC2022-133132-I00/ES/MEJORAS EN EL DIAGNÓSTICO E INVESTIGACIÓN CLÍNICO MEDIANTE TECNOLOGÍAS INTELIGENTES APLICADAS LA IMAGEN OFTALMOLÓGICA; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2024/TED2021-131201B-I00/ES/DIAGNÓSTICO DIGITAL: TRANSFORMACIÓN DE LA DETECCIÓN DE ENFERMEDADES NEUROVASCULARES Y DEL TRATAMIENTO DE LOS PACIENTES; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108435RB-I00/ES/CUANTIFICACIÓN Y CARACTERIZACIÓN COMPUTACIONAL DE IMAGEN MULTIMODAL OFTALMOLÓGICA: ESTUDIOS EN ESCLEROSIS MÚLTIPLE; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095894-B-I00/ES/DESARROLLO DE TECNOLOGIAS INTELIGENTES PARA DIAGNOSTICO DE LA DMAE BASADAS EN EL ANALISIS AUTOMATICO DE NUEVAS MODALIDADES HETEROGENEAS DE ADQUISICION DE IMAGEN OFTALMOLOGICA; https://doi.org/10.17979/spudc.000024.23; http://hdl.handle.net/2183/34186

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    Conference

    وصف الملف: application/pdf

    Relation: HUERTA HERRAIZ, A., et. al. Importancia del Pre-entrenamiento en el Desarrollo de una Red Neuronal Convolucional Ligera para la Evaluación de la Calidad del ECG. En: XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Cartagena: Universidad Politécnica de Cartagena, 2023. Pp. 235-238. ISBN: 978-84-17853-76-1; http://hdl.handle.net/10317/13506

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    Academic Journal
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    Academic Journal
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    Academic Journal
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    Academic Journal