WoS Q Kategorisi "Q2" Makale Koleksiyonu İçin Listeleme
Toplam kayıt 40, listelenen: 21-40
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An improved demand forecasting model using deep learning approach and proposed decision integration strategy for supply chain
(Wiley-Hindawi, 2019)Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand ... -
In silico analysis of a highly mutated gene in cancer provides insight into abnormal mRNA splicing: Splicing factor 3B subunit 1k700e mutant
(MDPI AG, 2020)Cancer is the second leading cause of death worldwide. The etiology of the disease has remained elusive, but mutations causing aberrant RNA splicing have been considered one of the significant factors in various cancer ... -
Integrated framework for criminal network extraction from Web
(SAGE Publications, 2021)Extracting criminals' information and discovering their network are techniques that investigators often rely on to get extra information about criminal incidents and potential criminals. With the recent advances of the ... -
Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust
(Public Library of Science, 2022)Due to the severity and speed of spread of the ongoing Covid-19 pandemic, fast but accurate diagnosis of Covid-19 patients has become a crucial task. Achievements in this respect might enlighten future efforts for the ... -
Link adaptation for MIMO OFDM visible light communication systems
(IEEE-Inst Electrical Electronics Engineers Inc, 2017)In this paper, we investigate link adaptation for an orthogonal frequency division multiplexing (OFDM)-based multiple-input multiple-output (MIMO) visible light communication (VLC) system. The proposed adaptive OFDM VLC ... -
Linker residues regulate the activity and stability of hexokinase 2, a promising anticancer target
(American Society for Biochemistry and Molecular Biology Inc., 2021)Hexokinase (HK) catalyzes the first step in glucose metabolism, making it an exciting target for the inhibition of tumor initiation and progression due to their elevated glucose metabolism. The upregulation of hexokinase-2 ... -
MCNN-LSTM: Combining CNN and LSTM to classify multi-class text in imbalanced news data
(Institute of Electrical and Electronics Engineers Inc., 2023)Searching, retrieving, and arranging text in ever-larger document collections necessitate more efficient information processing algorithms. Document categorization is a crucial component of various information processing ... -
Modeling traders' behavior with deep learning and machine learning methods: Evidence from BIST 100 index
(Wiley-Hindawi, 2020)Although the vast majority of fundamental analysts believe that technical analysts' estimates and technical indicators used in these analyses are unresponsive, recent research has revealed that both professionals and ... -
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 ... -
Multi-hypothesis contextual modeling for semantic segmentation
(Elsevier Science Bv, 2019)Semantic segmentation (i.e. image parsing) aims to annotate each image pixel with its corresponding semantic class label. Spatially consistent labeling of the image requires an accurate description and modeling of the local ... -
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 ... -
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 ... -
Regression of large-scale path loss parameters using deep neural networks
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Path loss exponent and shadowing factor are among important wireless channel parameters. These parameters can be estimated using field measurements or ray-tracing simulations, which are costly and time-consuming. In this ... -
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 ... -
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). ... -
Tweet and user validation with supervised feature ranking and rumor classification
(Springer, 2022)Filtering fake news from social network posts and detecting social network users who are responsible for generating and propagating these rumors have become two major issues with the increased popularity of social networking ... -
Understanding the differential selectivity of arrestins toward the phosphorylation state of the receptor
(American Chemical Society, 2016)Proteins in the arrestin family exhibit a conserved structural fold that nevertheless allows for significant differences in their selectivity for G-protein coupled receptors (GPCRs) and their phosphorylation states. To ... -
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 ...