Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

Browse

Filters

2010 - 201972020 - 20251

Settings

Access type: Metadata onlyLanguage: search.filters.language.tr

Search Results

Now showing 1 - 8 of 8
  • Conference Object
    Adapting Language Models to Sentiment Analysis for Automatically Translated and Labelled Turkish News Texts
    (Institute of Electrical and Electronics Engineers Inc., 2025) Serficeli, S.C.; Udunman, B.; Inan, E.
    The proliferation of news sources makes it difficult to track current events and social events in real time. In order to interpret social events in this context quickly and effectively, it is important to translate news texts provided in different natural languages into Turkish and to perform sentiment analysis on them. The aim of this study is to translate multilingual news texts into Turkish and perform sentiment analysis on these texts. The generated labels were compared and the data that were given the same label by all models were separated as automatically labelled data. This automatic labelling process ensured that the data for which different models produced consistent results were reliably labelled. When the results were evaluated, F1 score of 0.946 was achieved for sentiment analysis using the automatic labelling mechanism for texts translated into Turkish. © 2025 IEEE.
  • Conference Object
    Yazilim Yapisal Kapsama Analizinde Testlerin Önceliklendirilmesi
    (CEUR-WS, 2015) Ayav,T.
    [No abstract available]
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 3
    Long Term Wind Speed Prediction With Polynomial Autoregressive Model
    (Institute of Electrical and Electronics Engineers Inc., 2015) Karakuş, Oktay; Kuruoğlu, Ercan E.; Altınkaya, Mustafa Aziz
    Wind energy is one of the preferred energy generation methods because wind is an important renewable energy source. Prediction of wind speed in a time period, is important due to the one-to-one relationship between wind speed and wind power. Due to the nonlinear character of the wind speed data, nonlinear methods are known to produce better results compared to linear time series methods like Autoregressive (AR), Autoregressive Moving Average (ARMA) in predicting in a period longer than 12 hours. A method is proposed to apply a 48-hour ahead wind speed prediction by using the past wind speed measurements of the (Cesme Peninsula. We proposed to model wind speed data with a Polynomial AR (PAR) model. Coefficients of the models are estimated via linear Least Squares (LS) method and up to 48 hours ahead wind speed prediction is calculated for different models. In conclusion, a better performance is observed for higher than 12-hour ahead wind speed predictions of wind speed data which is modelled with PAR model, than AR and ARMA models.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    Scene text localization using keypoints
    (Institute of Electrical and Electronics Engineers Inc., 2015) Erdoğmuş, Nesli; Özuysal, Mustafa
    Scene text localization and recognition (also known as text localization and recognition in real-world images, nature scene OCR or text-in-the-wild problem) is an open problem, attracting increasing interest from researchers. In this paper, we address the localization issue and leave the recognition part out of its scope. For the purpose of scene text localization, Scale-Invariant Feature Transform (SIFT) keypoints are extracted from the images and classified as text and non-text. Subsequently, the text keypoints are utilized to compute the bounding boxes around text regions. The proposed technique is tested on the database of ICDAR 2013 Robust Reading Competition-Challenge 2 and the experimental results are reported in detail. Although the idea introduced here is still at its infancy, it is observed to achieve remarkable results and due to the fact that there is a large room for improvement, it is found to be promising.
  • Conference Object
    A Detailed Analysis of Mser and Fast Repeatibility
    (Institute of Electrical and Electronics Engineers Inc., 2015) Uzyıldırım, Furkan Eren; Köksal, Ali; Özuysal, Mustafa
    This paper investigates the relationship between the MSER and FAST repeatability and changes in various camera parameters. By employing a realistic view synthesis methodology, it is possible to observe the effect of small parameter changes on the repeatability. Furthermore, for the analysis of MSER repeatability, a convex hull approach is proposed instead of fitting ellipses to the MSER region. This yields a better approximation to the MSER region without significantly increasing computation time.
  • Conference Object
    Citation - Scopus: 1
    Modelling Twin Rotor System With Artificial Neural Networks
    (Institute of Electrical and Electronics Engineers Inc., 2015) Deniz, Meryem; Bıdıklı, Barış; Bayrak, Alper; Özdemirel, Barbaros; Tatlıcıoğlu, Enver
    In this study, the input output relation of the twin rotor system which was constructed in our laboratory is obtained by using ANNs. When compared with the existing literature, main advantage of this modelling approach is that multi input multi output ANN structure is used preferred. As a result of this approach, the cross coupling effects, between the rotors and also between the outputs, are taken into consideration. Thus, we sincerely believe that the obtained input output model demonstrates a close behavior to the real system.
  • Conference Object
    Detection of Vessels in a Retinal Image Using Decomposed Pixel Classification Method
    (Institute of Electrical and Electronics Engineers Inc., 2015) Sargan, Erman; Köktürk, Başak Esin
    The aim of this study, determination of blood vessels on high dimensional retinal images using decomposed pixel classification method. In this work intensity histograms are obtained by using vectoral directions. Local minimum and local maximum points are found by using these histograms to detect location of vessels. In addition to this, vessel thickness information are detected by determining a threshold point on these histograms.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    The Current Status of Thrips Parasitoids Ceranisus (hymenoptera: Eulophidae) Species in Turkey Based on Morphology and 28s D2 Rdna
    (Türkiye Entomoloji Derneği, 2010) Doğanlar, Oğuzhan; Doğanlar, Mikdat; Frary, Anne
    The aim of this study was to investigate genetic analysis of the species within genus Ceranisus (Hymenoptera: Eulophidae) that are interesting groups found in South Eastern Anatolia and Eastern parts of Mediterranean Region of Turkey and to compare with the other thrips-parasitoids between May 2006 and May 2007. Totally, 143 specimens (30 male: 113 female) belonging to Ceranisus genus were collected from 20 locations of 38 different localities in Hatay, Gaziantep, Adiyaman and Sanliurfa provinces. The population was divided into 13 groups based on morphologic characters. Phylogenetic relationships amongst Ceranisus species (Chalcidoidea: Eulophidae) were gathered from DNA sequence data. Fifteen species of thrips chalcid parasitoids were analyzed using one gene, D2 domain of the 28S ribosomal DNA. Among morphologically distinct 13 species/taxonomic groups, 3 of them identified as new species according to the genetical analysis. Four of the other species occurred in C. nr. lepidotus group while 5 of C. nr. bozovaensis consisted of two groups. To conclude 3 new species of Ceranisus and 3 different groups that may yield new species were determined in Turkish Ceranisus population.