Başlık için listeleme
Toplam kayıt 10522, listelenen: 2185-2204
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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 based prediction of path loss values and distributions from satellite images
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)It is critical to provide rapid deployment of robust and effective outdoor communication systems in today's world, where many seek to provide wireless connection services from aerial grids of drones and balloons, or low ... -
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 model optimization for real-time smallobject detection on embedded gpus
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2021)Camera mounted drones are mostly used in surveillance applications. Most of these surveillance systems track objects in two steps; firstly, they detect and recognize targets in a scene and then track those targets in the ... -
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 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, ... -
Defining reverse and green supplier selection criteria with a strategic management approach
(Springer Science and Business Media Deutschland GmbH, 2023)Today, the environmental problems that emerged over time because of industrialization and globalization and the depletion of natural resources have forced businesses and managers to consider environmental factors while ... -
Defining the significant factors of currency exchange rate risk by considering text mining and fuzzy AHP
(Springer Science and Business Media Deutschland GmbH, 2021)This study aims to determine the factors affecting the exchange rate risk of companies. In this context, firstly, articles in the ScienceDirect database that contain exchange rate risk in their titles, abstracts, and ...
