يعرض 1 - 10 نتائج من 31 نتيجة بحث عن '"Resource-constrained hardware"', وقت الاستعلام: 1.44s تنقيح النتائج
  1. 1
    رسالة جامعية
    Efficient Neural Network Inference for Resource Constrained Devices

    المؤلفون: Borrego Carazo, Juan

    مرشدي الرسالة: Carrabina Bordoll, Jordi, Castells Rufas, David

    المصدر: TDX (Tesis Doctorals en Xarxa)

    مصطلحات موضوعية: Xarxes neuronals, Redes neuronales, Neural networks, Hardware recursos limitats, Hardware recursos limitados, Resource-constrained hardware, Optimització, Opimtización, Optimization, Tecnologies

    وصف الملف: application/pdf

    URL الوصول: http://hdl.handle.net/10803/688291

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  2. 2
    مؤتمر
    Work-in-Progress: Utilizing latency and accuracy predictors for efficient hardware-aware NAS

    المؤلفون: Firouzian, Negin, Mozafari, Seyyed Hasan, Clark, James J., Gross, Warren J., Meyer, Brett H.

    المصدر: 2022 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) CODES-ISSS Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2022 International Conference on. :15-16 Oct, 2022

    Relation: 2022 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)

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  3. 3
    دورية أكاديمية
    Performance Evaluation of Symmetric Cryptographic Algorithms in resource constrained hardware for Wireless Sensor Networks

    المؤلفون: Gonzalez-Arango, Juan Carlos, Ocampo-Munera, Diana Catalina, Castano-Londono, Luis Fernando, Goez-Sanchez, German David, Velasquez-Velez, Ricardo Andres

    المصدر: IEEE Latin America Transactions IEEE Latin Am. Trans. Latin America Transactions, IEEE (Revista IEEE America Latina). 19(10):1632-1639 Oct, 2021

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  4. 4
    مؤتمر
    DASH: Design Automation for Synthesis and Hardware Generation for CNN

    المؤلفون: Sateesan, Arish, Sinha, Sharad, G, Smitha K

    المصدر: 2020 International Conference on Field-Programmable Technology (ICFPT) ICFPT Field-Programmable Technology (ICFPT), 2020 International Conference on. :72-75 Dec, 2020

    Relation: 2020 International Conference on Field-Programmable Technology (ICFPT)

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  5. 5
    دورية أكاديمية
    A Survey of Algorithmic and Hardware Optimization Techniques for Vision Convolutional Neural Networks on FPGAs

    المؤلفون: Sateesan, ArishAff1, Sinha, Sharad, K. G., Smitha, Vinod, A. P.

    المصدر: Neural Processing Letters. 53(3):2331-2377

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
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  6. 6
    مؤتمر
    A Practical Solution for Automatic Service Discovery and Usage over Resource Poor Ad-hoc Sensor Networks

    المؤلفون: Costa, Nuno, Pereira, António, Serôdio, Carlos

    المصدر: 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on. :777-781 Dec, 2009

    Relation: 2009 International Conference on Dependable, Autonomic and Secure Computing (DASC)

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  7. 7
    دورية أكاديمية
    High-Profile VRU Detection on Resource-Constrained Hardware Using YOLOv3/v4 on BDD100K

    المؤلفون: Vicent Ortiz Castelló, Ismael Salvador Igual, Omar del Tejo Catalá, Juan-Carlos Perez-Cortes

    المصدر: Journal of Imaging, Vol 6, Iss 12, p 142 (2020)

    مصطلحات موضوعية: on-road detection, artificial intelligence, machine learning, convolutional neural networks, resource-constrained hardware, one-stage detectors, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2313-433X/6/12/142; https://doaj.org/toc/2313-433X

    URL الوصول: https://doaj.org/article/f1395799e3784a92b759de464ea3d89b

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  8. 8
    A Survey of Algorithmic and Hardware Optimization Techniques for Vision Convolutional Neural Networks on FPGAs

    المؤلفون: Sharad Sinha, A. P. Vinod, K. G. Smitha, Arish Sateesan

    المصدر: Neural Processing Letters. 53:2331-2377

    مصطلحات موضوعية: Technology, 0209 industrial biotechnology, Computer Networks and Communications, Computer science, Resource constrained, Complex system, Computational intelligence, 02 engineering and technology, Convolutional neural network, Computer Science, Artificial Intelligence, Task (project management), Hardware Optimization, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Field-programmable gate array, FPGA, Resource Constrained Hardware, Science & Technology, business.industry, General Neuroscience, Convolutional Neural Networks, Computer Science, 020201 artificial intelligence & image processing, business, Limited resources, Software, Computer hardware

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a50ca9a996a8d3372054b0a7697c27b0
    https://doi.org/10.1007/s11063-021-10458-1

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  9. 9
    Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases

    المؤلفون: V. Ortiz, Juan-Carlos Perez-Cortes, Omar del Tejo Catala, Ismael Salvador Igual

    المصدر: International Journal of Advanced Robotic Systems, Vol 17 (2020)
    International Journal of Advanced Robotic Systems
    RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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    مصطلحات موضوعية: Artificial intelligence, Object detection, Computer science, Pedestrian detection, Resource-constrained hardware, lcsh:TK7800-8360, Advanced driver assistance systems, 02 engineering and technology, Machine learning, computer.software_genre, Convolutional neural network, lcsh:QA75.5-76.95, Task (project management), One-stage detectors, Artificial Intelligence, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 050107 human factors, Single stage, business.industry, 05 social sciences, lcsh:Electronics, Computer Science Applications, ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES, On board, Convolutional neural networks, 020201 artificial intelligence & image processing, Advanced driver-assistance systems, lcsh:Electronic computers. Computer science, business, Vulnerable road users, computer, Software

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa17b849dff17d4301d46016ca6b65b
    https://doaj.org/article/685f9ae0bdf146ebb4fff7025ecb7905

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  10. 10
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

    View record in Scopus
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