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akaturk Akademik ölçüm

OpenAlex konusu

CCD and CMOS Imaging Sensors

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 593 eser 17 yazar konusu

Çalışmalar

593 eser

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.5%

    Event-based cameras are a new passive sensing modality with a number of benefits over traditional cameras, including extremely low latency, asynchronous data acquisition, high dynamic range, and very low power consumption. There has been a lot of recent interest and development in applying algorithms to use the events…

  2. OpenAlex üst %1 OpenAlex 99.6%

    Deep networks are state-of-the-art models used for understanding the content of images, videos, audio and raw input data. Current computing systems are not able to run deep network models in real-time with low power consumption. In this paper we present nn-X: a scalable, low-power coprocessor for enabling real-time ex…

  3. YÖKSİS JCR Q3 OpenAlex üst %10 OpenAlex 92.9%

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  4. YÖKSİS JCR Q3 OpenAlex üst %10 OpenAlex 93.9%

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  5. OpenAlex üst %10 OpenAlex 98.4%

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  6. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 98.4%

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  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.4%

    Deep convolutional neural networks (DCNNs) have become a very powerful tool in visual perception. DCNNs have applications in autonomous robots, security systems, mobile phones, and automobiles, where high throughput of the feedforward evaluation phase and power efficiency are important. Because of this increased usage…

  8. YÖKSİS SJR Q3 JCR Q4 OpenAlex üst %10 OpenAlex 94.1%

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  9. OpenAlex üst %10 OpenAlex 94.4%

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  10. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 93.8%

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  11. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 93.8%

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  12. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 93.8%

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Akademisyenler

17 akademisyen