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akaturk Akademik ölçüm

OpenAlex konusu

Advanced Neural Network Applications

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

OpenAlex 2.654 eser 288 yazar konusu

Çalışmalar

2.654 eser

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

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  2. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

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  3. YÖKSİS SJR Q1 OpenAlex üst %1 OpenAlex 100.0%

    Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. Some of the applica…

  4. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

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  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

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  6. YÖKSİS OpenAlex üst %1 OpenAlex 100.0%

    Brain tumor segmentation is an important task in medical image processing. Early diagnosis of brain tumors plays an important role in improving treatment possibilities and increases the survival rate of the patients. Manual segmentation of the brain tumors for cancer diagnosis, from large amount of MRI images generate…

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.9%

    The National Library of Medicine (NLM) is developing a digital chest X-ray (CXR) screening system for deployment in resource constrained communities and developing countries worldwide with a focus on early detection of tuberculosis. A critical component in the computer-aided diagnosis of digital CXRs is the automatic…

  8. OpenAlex üst %1 OpenAlex 99.9%

    Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the field as a beginner. While several survey papers on particular sub-problems have ap…

  9. OpenAlex üst %1 OpenAlex 99.8%

    Detection of small objects and objects far away in the scene is a major challenge in surveillance applications. Such objects are represented by small number of pixels in the image and lack sufficient details, making them difficult to detect using conventional detectors. In this work, an open-source framework called Sl…

  10. YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %10 OpenAlex 98.4%

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  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

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  12. OpenAlex üst %1 OpenAlex 99.6%

    The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the stand…

Akademisyenler

288 akademisyen