Yayın tarihi için Computer Engineering listeleme
Toplam kayıt 144, listelenen: 21-40
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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 ... -
A model based on random walk with restart to predict circRNA-disease associations on heterogeneous network
(Association for Computing Machinery, 2019)Recent studies show that circRNAs have critical roles in many biological processes. Knowing the associations between circRNAs and diseases may contribute to the understanding of the mechanism of circRNAs and to the diagnostic ... -
Uzaktan algılanan görüntülerde bina yoğunluğu kestirimi için derin öğrenme
(Institute of Electrical and Electronics Engineers Inc., 2019)Bu bildiri, derin öğrenme yöntemleri uygulayarak uzaktan algılamalı optik görüntülerde bina yoğunluğunun noktasal olarak kestirilmesi ile ilgilidir. Bu çalışma kapsamında, evrişimsel sinir ağına (ESA) dayalı derin öğrenme ... -
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 ... -
The evaluation of word embedding models and deep learning algorithms for Turkish text classification
(IEEE (Institute of Electrical and Electronics Engineers), 2019)The use of word embedding models and deep learning algorithms are currently the most common and popular trends to enhance the overall performance of a text classification/categorization system. Word embedding models are ... -
Flexible beacon design for 60 GHz wireless personal area networks
(2019)In this paper we investigate the effect of different beaconing strategies for wireless personal area networks. Beacons are used by network coordinators to indicate the existence of the networks. A long beacon range protects ... -
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 ... -
Emotion and sentiment analysis from Twitter text
(Elsevier, 2019)Online social networks have emerged as new platform that provide an arena for people to share their views and perspectives on different issues and subjects with their friends, family, relatives, etc. We can share our ... -
Imaging of the axon initial segment
(Blackwell Publishing, Inc., 2019)The axon initial segment (AIS) is the first 20- to 60-μm segment of the axon proximal to the soma of a neuron. This highly specialized subcellular domain is the initiation site of the action potential and contains a high ... -
Exploiting sparsity recovery for compressive spectrum sensing: A machine learning approach
(Institute of Electrical and Electronics Engineers Inc., 2019)Sub-Nyquist sampling for spectrum sensing has the advantages of reducing the sampling and computational complexity burdens. However, determining the sparsity of the underlying spectrum is still a challenging issue for this ... -
Catalytically competent non-transforming H-RASG12P mutant provides insight into molecular switch function and GAP-independent GTPase activity of RAS
(Nature Publishing Group, 2019)RAS mutants have been extensively studied as they are associated with development of cancer; however, H-RASG12P mutant has remained untouched since it does not lead to transformation in the cell. To the best of our knowledge, ... -
Fuzzy classification methods based diagnosis of Parkinson’s disease from speech test cases
(Bentham Science Publishers, 2019)Background: Together with the Alzheimer’s disease, Parkinson’s disease is considered as one of the two serious known neurodegenerative diseases. Physicians find it hard to predict whether a given patient has already developed ... -
Glaucoma detection using image processing techniques: A literature review
(Elsevier, 2019)The term glaucoma refers to a group of heterogeneous diseases that cause the degeneration of retinal ganglion cells (RGCs). The degeneration of RGCs leads to two main issues: (i) structural changes to the optic nerve head ... -
Human behavior modeling for simulating evacuation of buildings during emergencies
(Elsevier, 2019)Every year, a considerably large number of disasters occur as a result of natural events or human faults. In order to decrease the damage and casualties associated with each disaster, it is crucial to get prepared for these ... -
CutESC: Cutting edge spatial clustering technique based on proximity graphs
(Elsevier, 2019)In this paper, we propose a cut-edge algorithm for spatial clustering (CutESC) based on proximity graphs. The CutESC algorithm removes edges when a cut-edge value for the edge's endpoints is below a threshold. The cut-edge ... -
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 ... -
BreCaHAD: A dataset for breast cancer histopathological annotation and diagnosis
(BioMed Central Ltd., 2019)Objectives: Histopathological tissue analysis by a pathologist determines the diagnosis and prognosis of most tumors, such as breast cancer. To estimate the aggressiveness of cancer, a pathologist evaluates the microscopic ... -
Effective induction of gene regulatory networks using a novel recommendation method
(Inderscience Enterprises Ltd., 2019)In this paper, we introduce a method based on recommendation systems to predict the structure of Gene Regulatory Networks (GRNs) making use of data from multiple sources. Our method is based on collaborative filtering ... -
Utilization of biased G protein-coupled receptor signaling towards development of safer and personalized therapeutics
(MDPI, 2019)G protein-coupled receptors (GPCRs) are involved in a wide variety of physiological processes. Therefore, approximately 40% of currently prescribed drugs have targeted this receptor family. Discovery of beta-arrestin ... -
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 ...