Başlık için Computer Engineering listeleme
Toplam kayıt 147, listelenen: 103-122
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On globalization and business competitiveness: A panel data country classification
(Ascociacion Internacional de Economia Aplicada, 2021)Industrial competitiveness could be achieved through policies reforms favoring globalization process. The reality, however, is two-folded. Initially, government policies restrict globalization and impose barriers to trade, ... -
Optik iletişim sistemlerinde standart CMOS fotodiyotlarin uygulaması
(IEEE Inc., 2017)Bu bildiride standart CMOS üretim süreçleri ile gerçeklenmiş, mikroelektronik sistemlere düşük maliyetle tümleştirilebilecek fotodiyot yapılarının optik haberleşme sistemlerine uygulanabilirliği incelenmiştir. Silikon ... -
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 ... -
Pancreatic tumor detection by convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)Artificial Intelligence and its sub-branches like Machine Learning (ML) and Deep Learning (DL) applications have the potential to have positive effects that can directly affect human life. Medical imaging provides a way ... -
Perturb-Scan-Pull: A novel method facilitating conformational transitions in proteins
(American Chemical Society, 2020)Conformational transitions in proteins facilitate precise physiological functions. Therefor; it is crucial to understand the mechanisms underlying these processes to modulate protein function. Yet, studying structural and ... -
Perturbation-response scanning reveals key residues for allosteric control in Hsp70
(American Chemical Society, 2017)Hsp70 molecular chaperones play-an important role in maintaining-cellular homeostasis, and are implicated in a wide array of cellular processes, including protein recovery from aggregates, cross-membrane protein translocation, ... -
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 ... -
Prediction and targeting of interaction interfaces in g-rotein coupled receptor oligomers
(Bentham Science Publishers Ltd, 2018)Background: Communication within a protein complex is mediated by physical interactions made among the protomers. Evidence for both the allosteric regulation present among the protomers of the protein oligomer and of the ... -
A prediction approach for the functional effects of non-coding gene variants
(Institute of Electrical and Electronics Engineers Inc., 2022)The aim of this study is to develop an approach for predicting the functional effects of variants of non-coding genes which have great importance in human genetics. Non-coding genes have formed a very vital field of study ... -
Predictions of drug metabolism pathways through CYP 3A4 enzyme by analysing drug-target interactions network graph
(Association for Computing Machinery, Inc., 2021)The available data of drugs and their targets has increased widely in recent years. Far from the traditional way of studying the drug-target interactions, we propose a network-based computational method to identify new ... -
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 ... -
Real-time web-based International Flight Tickets Recommendation System via Apache Spark
(Institute of Electrical and Electronics Engineers Inc., 2023)Traveling by airplane has become more popular with advanced technology. The tickets can be booked effortlessly via airlines corporation's online platforms. However, recommending the best airline ticket according to the ... -
Recent trends in emotion analysis: A big data analysis perspective
(IEEE-Institute of Electrical and Electronics Engineers, 2020)Human action recognition has recently started to find its way into applications in different applications. Accordingly, human action recognition methods are becoming increasingly important in our daily life. They are used ... -
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 ... -
A review of computational drug repositioning: Strategies, approaches, opportunities, challenges, and directions
(BMC, 2020)Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an important role in optimizing the ... -
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 ... -
rs-fMRI analysis using spatio-temporal sparse convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)Neuropsychiatric diseases such as Autism Spectrum Disorder (ASD) and Schizophrenia cause various behavioral and communication dysfunctions in human life. Resting state functional magnetic resonance imaging (rs-fMRI) is ...