Başlık için Fakülteler listeleme
Toplam kayıt 8749, listelenen: 1818-1837
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Deconvolution based light field extraction from a single image capture
(IEEE Computer Society, 2018)In this paper, we propose a method to extract light field using a conventional camera from a single image capture. The method involves an offline calibration process, where point spread functions, relating different ... -
Decrease of delta oscillatory responses in cognitively normal parkinson's disease
(Sage Publications Inc, 2017)Parkinson's disease (PD) is a common progressive neurodegenerative disorder. This study aims to compare sensory-evoked oscillations (SEOs) and event-related oscillations (EROs) of visual modality in cognitively normal PD ... -
Decreased facial emotion recognition in elderly patients with hearing loss reflects diminished social cognition
(SAGE Publications Inc, 2022)Objective: The main objective of this research was to evaluate the correlation between the severity of hearing loss and the facial emotional recognition as a critical part of social cognition in elderly patients. Methods: ... -
A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs
(Korean Acad Oral and Maxillofacial Radiology, 2022)Purpose: The aim of this study was to assess the performance of a deep learning system for permanent tooth germ detection on pediatric panoramic radiographs.Materials and Methods: In total, 4518 anonymized panoramic ... -
Deep learning for inverse problems in imaging
(IEEE, 2019)Inverse problems have been widely studied in image processing, with applications in areas such as image denoising, blind/non-blind deblurring, super-resolution and compressive sensing. Lately deep learning techniques and ... -
Deep learning- and word embedding-based heterogeneous classifier ensembles for text classification
(Wiley-Hindawi, 2018)The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a text classification/categorization system. Ensemble ... -
Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems
(Institute of Electrical and Electronics Engineers Inc., 2020)Cognitive radio (CR)-based internet of things systems can be considered as an efficient solution for futuristic smart technologies. However, CRs are naturally vulnerable to two major security threats; primary user emulation ... -
Deep learning-based blind image super-resolution using iterative networks
(Institute of Electrical and Electronics Engineers Inc., 2021)Deep learning-based single image super-resolution (SR) consistently shows superior performance compared to the traditional SR methods. However, most of these methods assume that the blur kernel used to generate the ... -
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
(Academic Press Inc., 2023)Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life images make it difficult to solve this ... -
Deep learning-based optimal ris interaction exploiting previously sampled channel correlations
(IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)The reconfigurable intelligent surface (RIS) technology has attracted interest due to its promising coverage and spectral efficiency features. However, some challenges need to be addressed to realize this technology in ... -
Deep multi-task learning-based simultaneous channel tap and coefficient estimation
(2023)Wireless communication systems depend on accurate channel estimation to ensure efficient and reliable data transmission. The channel estimation process consists of two essential steps: channel tap and coefficient estimation. ... -
Deep RL-based spectrum occupancy prediction exploiting time and frequency correlations
(Institute of Electrical and Electronics Engineers Inc., 2022)In cognitive radio systems, predicting spectrum occupancies is a convenient alternative way to continuous spectrum sensing. It can provide information on spectrum usage and so empty spectrum bands can be used by secondary ... -
Deep supraspinatus muscle plane block: Is it just a new description of an old technique?
(Elsevier Inc., 2021)To the Editor, We have read with interest the reply to Kose et al. by Teles et al. [1]. The authors commented on the deep supraspinatus muscle plane block (DSMPB) performed by Kose et al. in terms of nomenclature being ... -
DeepMQ: A deep learning approach based myelin quantification in microscopic fluorescence images
(IEEE Computer Society, 2018)Oligodendrocytes wrap around the axons and form the myelin. Myelin facilitates rapid neural signal transmission. Any damage to myelin disrupts neuronal communication leading to neurological diseases such as multiple sclerosis ... -
Defining appropriate government strategies to reduce unemployment during COVID-19 pandemics
(Springer Science and Business Media Deutschland GmbH, 2021)The unemployment problem became more significant, especially after COVID-19 pandemics. This situation affected both developing and developed countries in a negative manner. Hence, the policies implemented by the states to ... -
Defining criteria weights by ahp in health technology assessment
(Elsevier Sciences, 2017)Objectives: Multi Criteria Decision Making (MCDM) is claimed to be the aid for Health Technology Assessment (HTA) based decision making. Transparent commitment of multi-disciplinary stakeholders is essential to attain ... -
Defining minimal invasive surgical therapy for benign prostatic obstruction surgery: Perspectives from a global knowledge, attitude, and practice survey
(Elsevier (Singapore) Pte. Ltd., 2024)Objective: To scrutinize the definitions of minimal invasive surgical therapy (MIST) and to investigate urologists' knowledge, attitudes, and practices for benign prostatic obstruction surgeries. Methods: A 36 -item survey ... -
Defining optimal enzyme and matrix combination for replating of human induced pluripotent stem cell-derived cardiomyocytes at different levels of maturity
(Elsevier Inc., 2021)Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) create an unlimited cell source for basic and translational research. Depending on the maturity of cardiac cultures and the intended applications, ...
