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Toplam kayıt 561, listelenen: 21-40
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Algoritmik kaynaşım yöntemiyle plaka tanıma sistemlerinin performansının artırılması
(2011)Bu bildiride, bilgisayarlı görü ve örüntü tanıma alanlarında çok önemli bir yeri olan plaka tanıma sistemlerinin performansını artırmak amacıyla algoritmik kaynaşım yöntemini önermekteyiz. Plaka tanıma sistemleri genellikle ... -
An all-words sense annotated Turkish corpus
(IEEE, 2018-06-06)This paper reports our efforts in constructing of a sense labeled Turkish corpus with respect to Turkish Language Institution's dictionary, using the traditional method of manual tagging. We tagged a pre-built parallel ... -
All-words word sense disambiguation for Turkish
(IEEE, 2017)Identifying the sense of a word within a context is a challenging problem and has many applications in natural language processing. This assignment problem is called word sense disambiguation(WSD). Many papers in the ... -
An Analog beamformer for integrated high-frequency medical ultrasound imaging
(IEEE, 2011)We designed and fabricated a dynamic receive beamforming integrated circuit (IC) in 0.35-mu m CMOS technology. This beamformer is suitable for integration with an ultrasound annular array for high-frequency (30-50 MHz) ... -
Analysis of layered media terminated with an impedance surface varying in lateral directions
(Springer-Verlag Berlin, 2000)Determination of the constitutive parameters of a region from data provided by remote sensing is an extremely interesting and important topic from various points of view. In a large class of problems of this type, the ... -
Analysis of self noise in a clock recovery systems with a high-order nonlinearity
(Bogazici University Bebek, 1999)This paper presents a new technique to compute efficiently the I and Q spectra, and the I - Q cross-spectrum of the self noise appearing at the output of the zero-memory, high order nonlinear device employed in a clock ... -
Analysis of self noise in a clock recovery systems with a high-order nonlinearity
(IEEE, 1998)This paper presents a new technique to compute efficiently the I and Q spectra, and the I - Q cross-spectrum of the self noise appearing at the output of the zero-memory, high order nonlinear device employed in a clock ... -
Analysis of single image super resolution models
(IEEE, 2022-11-18)Image Super-Resolution (SR) is a set of image processing techniques which improve the resolution of images and videos. Deep learning approaches have made remarkable improvement in image super-resolution in recent years. ... -
An analysis of the mortgage account as a discrete-time LTI system
(IEEE, 2014)This paper presents a comprehensive mathematical analysis of the mortgage account with the aim of intentionally setting up a non-physical example for the teaching of discrete-time LTI systems in the courses signals and ... -
Analyzing the benefits and challenges of building information modelling and life cycle assessment integration
(Springer, 2020)Previous studies show that the architecture, engineering and construction (AEC) industry contributes up to 1/3 of global GHG emissions. With the aim of mitigating negative impacts of AEC industry on the natural environment, ... -
Animal sound classification using a convolutional neural network
(IEEE, 2018-12-06)In this paper, we investigate the problem of animal sound classification using deep learning and propose a system based on convolutional neural network architecture. As the input to the network, sound files were preprocessed ... -
AnlamVer: Semantic model evaluation dataset for Turkish - word similarity and relatedness
(Association for Computational Linguistics (ACL), 2018-08-26)In this paper, we present AnlamVer, which is a semantic model evaluation dataset for Turkish designed to evaluate word similarity and word relatedness tasks while discriminating those two relations from each other. Our ... -
An annular CMUT array beamforming system for high-frequency side looking IVUS imaging
(2010)A CMUT annular array system for Side-Looking Intravascular Ultrasound (SL-IVUS) with fixed transmit and dynamic receive focusing capabilities has been developed. The system was experimentally characterized and validated ... -
Annular CMUT arrays for side looking intravascular ultrasound imaging
(IEEE, 2007)Although side looking intravascular ultrasound (SL-IVUS) imaging systems using single element piezoelectric transducers set the resolution standard in the assessment of the extent of coronary artery disease, improvements ... -
Application of ChatGPT in the tourism domain: potential structures and challenges
(IEEE, 2023-12-23)The tourism industry stands out as a sector where effective customer communication significantly influences sales and customer satisfaction. The recent shift from traditional natural language processing methodologies to ... -
Armenian identity in the Turkish and American documentaries through images
(2017-10-06)While cinema carrying the social values of past to present, it is also leading up the embodiment of the dominant perception shapes the present. In this regard, the representation of reality has much importance in the ... -
Assessing dyslexia with machine learning: a pilot study utilizing Google ML Kit
(IEEE, 2023-12-19)In this study, we explore the application of Google ML Kit, a machine learning development kit, for dyslexia detection in the Turkish language. We collected face-tracking data from two groups: 49 dyslexic children and 22 ... -
Auto Train Brain increases the variance of the gamma band sample entropy in the left hemisphere in dyslexia: a pilot study
(Springer Science and Business Media Deutschland GmbH, 2023)Auto Train Brain is a mobile app that improves reading speed and reading comprehension in dyslexia. The efficacy of Auto Train Brain was proven with a clinical trial. We have analyzed the long-term training effects of the ... -
Automated cell nucleus detection for large-volume electron microscopy of neural tissue
(IEEE, 2014-04-29)Volumetric electron microscopy techniques, such as serial block-face electron microscopy (SBEM), generate massive amounts of image data that are used for reconstructing neural circuits. Typically, this requires time-intensive ... -
Automatic modulation classification for mimo systems using fourth-order cumulants
(IEEE, 2012)Automatic classification of the modulation type of an unknown communication signal is a challenging task, with applications in both commercial and military contexts, such as spectrum surveillance, cognitive radio, and ...