Search Results - "Turkmen, H Irem"

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  1. 1

    Classification of laryngeal disorders based on shape and vascular defects of vocal folds by Irem Turkmen, H, Elif Karsligil, M, Kocak, Ismail

    Published in Computers in biology and medicine (01-07-2015)
    “…Abstract Vocal fold disorders such as laryngitis, vocal nodules, and vocal polyps may cause hoarseness, breathing and swallowing difficulties due to vocal fold…”
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    Journal Article
  2. 2

    A Novel Segment-Based Approach for Improving Classification Performance of Transport Mode Detection by Guvensan, M Amac, Dusun, Burak, Can, Baris, Turkmen, H Irem

    Published in Sensors (Basel, Switzerland) (30-12-2017)
    “…Transportation planning and solutions have an enormous impact on city life. To minimize the transport duration, urban planners should understand and elaborate…”
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    Journal Article
  3. 3

    Traffic Characteristics of Short and Long Public Holidays: A Hybrid Holiday-Oriented Speed Prediction Approach via Feature Engineering by Atilgan, Irem, Turkmen, H. Irem, Guvensan, M. Amac

    Published in IEEE sensors journal (15-10-2023)
    “…Special holidays differ from regular week(end) days in terms of traffic characteristics due to spatio-temporal bursts within the city. This results in the time…”
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    Journal Article
  4. 4

    Advanced computing solutions for analysis of laryngeal disorders by Turkmen, H. Irem, Karsligil, M. Elif

    “…Clinical diagnosis of voice pathologies is performed by analyzing audio, color, shape, and vibration patterns of the laryngeal recordings which are taken with…”
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    Journal Article
  5. 5

    An Energy-Efficient Multi-Tier Architecture for Fall Detection Using Smartphones by Guvensan, M Amac, Kansiz, A Oguz, Camgoz, N Cihan, Turkmen, H Irem, Yavuz, A Gokhan, Karsligil, M Elif

    Published in Sensors (Basel, Switzerland) (23-06-2017)
    “…Automatic detection of fall events is vital to providing fast medical assistance to the causality, particularly when the injury causes loss of consciousness…”
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    Journal Article
  6. 6

    An Energy-Efficient Multi-Tier Architecture for Fall Detection on Smartphones by Guvensan, M., Kansiz, A., Camgoz, N., Turkmen, H., Yavuz, A., Karsligil, M.

    Published in Sensors (Basel, Switzerland) (23-06-2017)
    “…Automatic detection of fall events is vital to providing fast medical assistance to the causality, particularly when the injury causes loss of consciousness…”
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    Journal Article
  7. 7

    A novel two-staged deep learning based workflow for analyzable metaphase detection by Turkmen, H. Irem

    Published in Multimedia tools and applications (01-05-2024)
    “…In the field of cytogenetics, chromosome image analysis plays a critical role in the diagnosis of various genetic disorders and cancers. As the gold standard,…”
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    Journal Article
  8. 8

    Towards Accurate Traffic Accident Detection: Developing Deep Learning Strategies with Distant Past, Recent Past, and Adjacency Features by Atilgan, Irem, Turkmen, H. Irem, Guvensan, M. Amac

    “…Traffic accidents across the world can cause great loss of human life and create financial burden on institutions. However, early detection of accidents and…”
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    Conference Proceeding
  9. 9

    A Weather Oriented Pre-Tuning Methodology For Long-term Traffic Speed Estimation by Bilgin, Enes, Turkmen, H. Irem, Guvensan, M. Amac

    “…Long-term traffic speed estimation become a challenging problem since forecasting the distant future of city traffic requires considering environmental factors…”
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    Conference Proceeding
  10. 10

    Missing Traffic Speed Data Imputation Using Road Segment Characteristics for Long-Term Traffic Speed Prediction by Kara, Mustafa M., Turkmen, H. Irem, Guvensan, M. Amac

    “…Traffic speed estimation has become one of the challenging difficulties, especially for metropolitan cities in the last decade. On the other hand, sensor…”
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    Conference Proceeding
  11. 11

    N-Gram Based Transport Mode Detection Models for Energy Constrained Devices by Can Cetin, Kadir, Irem Turkmen, H., Amac Guvensan, M.

    “…Transport mode detection is a subset of activity recognition. It is important for urban transportation planning and finding CO 2 footprint for individuals…”
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    Conference Proceeding
  12. 12

    Assessment of videolaryngostroboscopy images based on visible vessels of vocal folds by Turkmen, H. Irem, Karsligil, M. E., Kocak, I.

    “…Extraction of vessel structures and the vessel features automatically forms an essential step for computer-aided diagnosis. Visible vessels of vocal folds…”
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    Conference Proceeding Journal Article
  13. 13

    Dysphonic Speech Reconstruction: Construction of a Novel System for Effective and Efficient Communication by Turkmen, H.I., Karsligil, M.E.

    “…In this article, a MELP-based real-time system that produces synthetic speech for patients with chronic dysphonia while preserving their continual structure of…”
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    Journal Article
  14. 14

    Classification of vocal fold nodules and cysts based on vascular defects of vocal folds by Turkmen, H. Irem, Karsligil, M. Elif, Kocak, Ismail

    “…Physical examination of larynx by using videolaryngostroboscopy provides valuable information for diagnosis of vocal fold pathologies. However difficulty of…”
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    Conference Proceeding
  15. 15

    Long-term Traffic Speed Estimation via Regression using Weekly Day Patterns by YASLI, Fethiye, TURKMEN, H. Irem, Amac GUVENSAN, M.

    “…Traffic is one of the biggest problem of the city-life. Inadequate roads, the increasing number of people and vehicles, inefficient transportation plans and…”
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    Conference Proceeding
  16. 16

    Reconstruction of dysphonic speech for synthesizing normally phonated speech by Turkmen, H. Irem, Karsligil, M. Elif

    “…In this study, a novel system, delivering synthetic speech with the quality near to natural, is designed and implemented by reconstructing dysphonic speech of…”
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    Conference Proceeding
  17. 17

    Demographic information classification exploiting spoken language by Irem Turkmen, H., Diri, B., Biricik, G., Dogan, R.

    “…Recently, extracting the demographic information like age, gender and race by using speech and face attributes takes much attention in the literature. In this…”
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    Conference Proceeding
  18. 18

    Normally phonated speech recovery from whispers by MELP by Turkmen, H. Irem, Karsligil, M. Elif

    “…In our study, mixed excitation linear prediction (MELP) based system that reconstructs speech from whisper while preserving the individuality of a speaker's…”
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    Conference Proceeding
  19. 19

    Global feature based female facial beauty decision system by Turkmen, H. Irem, Kurt, Zeyneb, Karsligil, M. Elif

    “…This paper presents an automated female facial beauty decision system based on Support Vector Machine (SVM). First, we constructed manually two classes of…”
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    Conference Proceeding
  20. 20

    Ottoman Alphabet Character Recognition by LDA by Kurt, Zeyneb, Turkmen, H. Irem, Karsligil, M. Elif

    “…In our study, an Ottoman Turkish language recognition system by LDA (linear discriminant analysis) approach is improved. LDA reduces dimensionality of original…”
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    Conference Proceeding