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10 hasil untuk "Burhan Ergen"

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  1. Artikel Jurnal

    A Fusion Method of Gabor Wavelet Transform and Unsupervised Clustering Algorithms for Tissue Edge Detection

    Burhan Ergen

    The Scientific World Journal, Vol. 2014 · 2014 · Inggris · DOAJ Scopus

    This paper proposes two edge detection methods for medical images by integrating the advantages of Gabor wavelet transform (GWT) and unsupervised clustering algorithms. The GWT is used to enhance the edge information in an image while suppressing noise. Following this, the k-means and Fuzzy c-means…

  2. Artikel Jurnal

    Facial Expression Based Emotion Recognition

    Muhammad Ibrahim; Burhan Ergen

    Journal of Electrical Engineering and Computer, Vol. 7 No. 1 · 2025 · Indonesia · DOAJ

    Human communication predominantly relies on spoken and written language; however, nonverbal cues, such as facial expressions, play a critical role in conveying emotions. This study details the development and evaluation of a deep learning model for Facial Emotion Recognition (FER) utilizing the…

  3. Artikel Jurnal

    Enhancing Brain Tumor Detection on MRI Images Using an Innovative VGG-19 Model-Based Approach

    Burhan Ergen; Abdullah Şener

    Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol. 27 No. 5 · 2023 · Inggris · DOAJ Scopus

    Early detection and diagnosis of brain tumors have a critical impact on the treatment of brain tumor patients. This is because initiating interventions early directly impacts the patient's chances of continuing their life. In the field of medical research, various methods are employed for the…

  4. Bab Buku Teks lengkap

    Signal and Image Denoising Using Wavelet Transform

    Burhan Ergen

    Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology · 2012 · Inggris · IntechOpen

  5. Artikel Jurnal

    Recognition of Road Type and Quality for Advanced Driver Assistance Systems with Deep Learning

    Vedat Tumen; Ozal Yildirim; Burhan Ergen

    Elektronika ir Elektrotechnika, Vol. 24 No. 6 · 2018 · Inggris · DOAJ Scopus

    To develop effective advanced driving assistance systems, it is important to accurately recognize current driving environments and make critical decisions about driving processes. Preventing accidents through the interaction between the driving assistance systems and the environment and ensuring…

  6. Artikel Jurnal Teks lengkap

    Evaluation of Internal Auditory Canal Structures in Tinnitus of Unknown Origin

    Cahit Polat; Murat Baykara; Burhan Ergen

    Clinical and Experimental Otorhinolaryngology, Vol. 7 No. 3 · 2014 · Inggris · DOAJ Scopus

    ObjectivesThe aim of the present study was to evaluate the internal auditory canal (IAC) and the nerves inside it to define possible structural differences in cases with subjective tinnitus of unknown origin.MethodsCases applying to the ear, nose and throat department with the complaint of tinnitus…

  7. Artikel Jurnal

    Subclass Separation of White Blood Cell Images Using Convolutional Neural Network Models

    Mesut Togacar; Burhan Ergen; Mehmet Emre Sertkaya

    Elektronika ir Elektrotechnika, Vol. 25 No. 5 · 2019 · Inggris · DOAJ Scopus

    The white blood cells produced in the bone marrow and lymphoid tissue known as leucocytes are an important part of the immune system to protect the body against foreign invaders and infectious disease. These cells, which do not have color, have a few days or several weeks of life. A lot of clinic…

  8. Artikel Jurnal

    CalFireSegNet: a lightweight hybrid attention–transformer network for post-wildfire building footprint change analysis using high-resolution satellite imagery

    Abdullah Şener; Vedat Tümen; Burhan Ergen dkk.

    Scientific Reports, Vol. 16 No. 1 · 2026 · Inggris · DOAJ Scopus

    Abstract Natural disasters, particularly wildfires, cause severe human, environmental, and economic losses worldwide. Rapid and accurate identification of building footprints and potential potential structural changes is essential for effective emergency response, search-and-rescue operations, and…

  9. Artikel Jurnal

    Comparative Analysis of Pixel-Based Segmentation Models for Accurate Detection of Impacted Teeth on Panoramic Radiographs

    Meryem Durmus; Burhan Ergen; Adalet Celebi dkk.

    IEEE Access, Vol. 13 · 2025 · Inggris · DOAJ Scopus

    Accurate detection of impacted teeth in panoramic radiographs is critical for effective diagnosis and treatment planning in dentistry. Traditional segmentation methods often face challenges in achieving accurate detection due to the anatomical complexity and variability of dental structures. This…