Başlık için Scopus İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 6449, listelenen: 1367-1386
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Data analysis in health and big data: A machine learning medical diagnosis model based on patients’ complaints
(Taylor and Francis Inc., 2021)The emergence of big data made it possible to make better predictions and discover hidden patterns which contain a load of useful information. Like other domains, health discipline is also enjoying this new data science ... -
Data augmentation based malware detection using convolutional neural networks
(PeerJ Inc., 2021)Due to advancements in malware competencies, cyber-attacks have been broadly observed in the digital world. Cyber-attacks can hit an organization hard by causing several damages such as data breach, financial loss, and ... -
Data for a proteomic analysis of p53-independent induction of apoptosis by bortezomib
(Elsevier, 2014)This data article contains data related to the research article entitled, "A proteomic analysis of p53-independent induction of apoptosis by bortezomib in 4T1 breast cancer cell line" by Yerlikaya et al. [1]. The research ... -
Data mining applications in banking sector while preserving customer privacy
(Ital Publication, 2022)In real-life data mining applications, organizations cooperate by using each other’s data on the same data mining task for more accurate results, although they may have different security and privacy concerns. Privacy-preserving ... -
Data mining-based evaluating the customer satisfaction for the mobile applications: An analysis on Turkish banking sector by using IT2 fuzzy dematel
(IGI Global, 2019)The aim of this study is to evaluate the customer satisfaction for mobile applications in the Turkish banking industry. For this purpose, the last 500 customer comments of 24 different Turkish deposit banks' mobile ... -
Data on cut-edge for spatial clustering based on proximity graphs
(Elsevier, 2020)Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity ... -
Data-driven medicine: The promise and potential of clinical decision support systems
(University of Faisalabad, 2024)Patient safety is one of the most important factors involved in any health care policy. The idea of evidence-based medicine has emerged as the dominant paradigm in clinical practice, influencing our current understanding ... -
A database for screening and registering late onset Pompe disease in Turkey
(Pergamon-Elsevier Science Ltd, 2018)The aim of this study was to search for the frequency of late onset Pompe disease (LOPD) among patients who had a myopathy with unknown diagnosis registered in the pre-diagnostic part of a novel registry for LOPD within a ... -
Dataset on the scale validation of Islamic piety
(Elsevier Inc., 2020)The data obtained from banking sector of Pakistan aims to enhance the understanding of the Islamic Piety. A semi-structure questionnaire was used to collect data from banking staff in Pakistan. The variable of the dataset ... -
Davranışla ilgili bilgilerin hücre dişi sinirsel kayıtlarda arka plan etkinliğinden yüksek başarımlı çıkarımı
(Institute of Electrical and Electronics Engineers Inc., 2018)Hücre dışı sinirsel kayıtlardan bilgi çıkarımlamakta yaygın olarak kullanılan yaklaşım bir genlik eşiği belirlenmesi veeşik üstü verilerde bulunan bilginin çıkarımlanmasıdır. Eşik altıveriler ise uzaktaki sinir hücrelerinin ... -
Debulking of giant right ventricular lead vegetation by percutaneous approach under the direct real-time intracardiac echocardiography visualization
(NLM (Medline), 2023)Infection of cardiac implantable electronic devices is one of the most dangerous complications, and the main treatment approach is the removal of cardiac implantable electronic device from the body. We present a case of ... -
Decision making via 3D computed tomography in the surgical treatment of cubital tunnel syndrome: Surgical technique and results
(Turkish Neurosurgical Society, 2022)AIM:To investigate the importance of elbow 3D computed tomography in surgical planning when deciding on the treatment surgical treatment method of the ulnar nerve entrapment in the cubital tunnel. MATERIAL and METHODS: In ... -
Decline in the age of menarche in İstanbul schoolgirls over the last 12 years
(Galenos Publishing House, 2023)Objective: Menarche is the endpoint of a sequence of maturational events of female puberty. The timing of menarche is a strongly heritable trait. However, secular trends suggest that lifestyle and environmental factors are ... -
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- 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 ...
