Erişim şekli için "info:eu-repo/semantics/openAccess" Makale Koleksiyonu listeleme
Toplam kayıt 56, listelenen: 41-56
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Mood detection from physical and neurophysical data using deep learning models
(Wiley, 2019)Nowadays, smart devices as a part of daily life collect data about their users with the help of sensors placed on them. Sensor data are usually physical data but mobile applications collect more than physical data like ... -
A multistep deep learning framework for the automated detection and segmentation of astrocytes in fuorescent images of brain tissue
(Nature Publishing Group, 2020)While astrocytes have been traditionally described as passive supportive cells, studies during the last decade have shown they are active players in many aspects of CNS physiology and function both in normal and disease ... -
A new ratio-metric pH probe, "ThiAKS Green" for live-cell pH measurements
(Springer, 2023)Deviation of the H+ concentration from optimum values within the organelles is closely associated with irregular cellular functions that cause the onset of various diseases. Therefore, determining subcellular pH values in ... -
Orbital stability of periodic standing waves for the cubic fractional nonlinear Schrödinger equation
(Academic Press Inc., 2022)In this paper, the existence and orbital stability of the periodic standing wave solutions for the nonlinear fractional Schrödinger (fNLS) equation with cubic nonlinearity is studied. The existence is determined by using ... -
PL-GAN: Path loss prediction using generative adversarial networks
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Accurate prediction of path loss is essential for the design and optimization of wireless communication networks. Existing path loss prediction methods typically suffer from the trade-off between accuracy and computational ... -
Predicting path loss distribution of an area from satellite ımages using deep learning
(IEEE - Institute of Electrical and Electronics Engineers, Inc., 2020)Path loss prediction is essential for network planning in any wireless communication system. For cellular networks, it is usually achieved through extensive received signal power measurements in the target area. When the ... -
Predicting the effects of repetitive transcranial magnetic stimulation on cognitive functions in patients with alzheimer's disease by automated EEG analysis
(Frontiers Media SA, 2022)Alzheimer's disease (AD) is a progressive, neurodegenerative brain disorder that generally affects the elderly. Today, after the limited benefit of the pharmacological treatment strategies, numerous noninvasive brain ... -
Proposing a CNN method for primary and permanent tooth detection and enumeration on pediatric dental radiographs
(NLM (Medline), 2022)OBJECTIVE: In this paper, we aimed to evaluate the performance of a deep learning system for automated tooth detection and numbering on pediatric panoramic radiographs. STUDY DESIGN: YOLO V4, a CNN (Convolutional Neural ... -
The role of machine learning in identifying students at-risk and minimizing failure
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2023)Education is very important for students' future success. The performance of students can be supported by the extra assignments and projects given by the instructors for students with low performance. However, a major ... -
RSS-based wireless LAN indoor localization and tracking using deep architectures
(MDPI, 2022)Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints and the unpredictable behavior of signal propagation, even at a fixed location. The aim of this work is to develop ... -
Serrate RNA effector molecule (SRRT) is associated with prostate cancer progression and is a predictor of poor prognosis in lethal prostate cancer
(MDPI, 2023)Arsenite-resistance protein 2, also known as serrate RNA effector molecule (ARS2/SRRT), is known to be involved in cellular proliferation and tumorigenicity. However, its role in prostate cancer (PCa) has not yet been ... -
The single nucleotide beta-arrestin2 variant, A248T, resembles dynamical properties of activated arrestin
(TUBITAK Scientific & Technical Research Council Turkey, 2020)beta-arrestins are responsible for termination of G protein-coupled receptor (GPCR)-mediated signaling. Association of single nucleotide variants with onset of crucial diseases has made this protein family hot targets in ... -
SNF-NN: Computational method to predict drug-disease interactions using similarity network fusion and neural networks
(BioMed Central Ltd., 2021)Background: Drug repositioning is an emerging approach in pharmaceutical research for identifying novel therapeutic potentials for approved drugs and discover therapies for untreated diseases. Due to its time and cost ... -
Synthesis, structural investigations, DNA/BSA interactions, molecular docking studies, and anticancer activity of a new 1,4-disubstituted 1,2,3-triazole derivative
(American Chemical Society, 2023)We report herein a new 1,2,3-triazole derivative, namely, 4-(( 1-( 3,4-dichlorophenyl)-1H-1,2,3- triazol- 4-yl)methoxy)-2-hydroxybenzaldehyde, which was synthesized by copper(I)-catalyzed azide-alkyne cycloaddition (CuAAC). ... -
Utilizing a responsive web portal for studying disc tracing agreement in retinal images
(Public Library of Science, 2021)Glaucoma is a leading cause of blindness worldwide whose detection is based on multiple factors, including measuring the cup to disc ratio, retinal nerve fiber layer and visual field defects. Advances in image processing ... -
Yüksek frekanslarda insan derisinin kablosuz vücut alan ağlarına etkisi
(2019)Mikro elektronik ve entegre devreleri, çip üzerinde sistem tasarımı, kablosuz haberleşme ve düşük güçlü akıllı sensörlerdeki son gelişmeler Kablosuz Vücut Alan Ağlarının (KVAA) gerçekleşmesini sağlamıştır. KVAA insan vücudu ...