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akaturk Akademik ölçüm

OpenAlex konusu

DNA and Biological Computing

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

OpenAlex 366 eser 7 yazar konusu

Çalışmalar

366 eser

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.6%

    In this paper, we present a fast and robust practical tool for segmentation of solid tumors with minimal user interaction to assist clinicians and researchers in radiosurgery planning and assessment of the response to the therapy. Particularly, a cellular automata (CA) based seeded tumor segmentation method on contras…

  2. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.6%

    In this paper, we present a fast and robust practical tool for segmentation of solid tumors with minimal user interaction to assist clinicians and researchers in radiosurgery planning and assessment of the response to the therapy. Particularly, a cellular automata (CA) based seeded tumor segmentation method on contras…

  3. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.7%

    A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdo…

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

    A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdo…

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

    Discrete chaotic systems based on memristors exhibit excellent dynamical properties and are more straightforward to implement in hardware, making them highly suitable for generating cryptographic keystreams. However, most existing memristor-based chaotic systems rely on a single memristor. This paper introduces a nove…

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

    Discrete chaotic systems based on memristors exhibit excellent dynamical properties and are more straightforward to implement in hardware, making them highly suitable for generating cryptographic keystreams. However, most existing memristor-based chaotic systems rely on a single memristor. This paper introduces a nove…

  7. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 95.5%

    BACKGROUND: Seed location filtering is critical in DNA read mapping, a process where billions of DNA fragments (reads) sampled from a donor are mapped onto a reference genome to identify genomic variants of the donor. State-of-the-art read mappers 1) quickly generate possible mapping locations for seeds (i.e., smaller…

  8. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 93.4%

    Özet henüz yok.

  9. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 93.4%

    Özet henüz yok.

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 93.4%

    Özet henüz yok.

  11. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 96.0%

    As the first theoretically proven capacity-achieving error correction code, polar codes have become a milestone in information theory field, which draw serious attention by its low complexity encoding and decoding structures. For the decoding section, studies are focused on efficient and low complex algorithms based o…

  12. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 96.0%

    As the first theoretically proven capacity-achieving error correction code, polar codes have become a milestone in information theory field, which draw serious attention by its low complexity encoding and decoding structures. For the decoding section, studies are focused on efficient and low complex algorithms based o…

Akademisyenler

7 akademisyen