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Toplam kayıt 10, listelenen: 1-10
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 ...
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 ...
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 ...
Identifying side effects of commonly used drugs in the treatment of Covid 19
(Nature Research, 2020)
To increase the success in Covid 19 treatment, many drug suggestions are presented, and some clinical studies are shared in the literature. There have been some attempts to use some of these drugs in combination. However, ...
A hybrid deep model using deep learning and dense optical flow approaches for human activity recognition
(IEEE - Institute of Electrical and Electronics Engineers, Inc., 2020)
Human activity recognition is a challenging problem with many applications including visual surveillance, human-computer interactions, autonomous driving and entertainment. In this study, we propose a hybrid deep model to ...
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 ...
Glacial lakes mapping using multi satellite PlanetScope imagery and deep learning
(MDPI AG, 2020)
Glacial lakes mapping using satellite remote sensing data are important for studying the effects of climate change as well as for the mitigation and risk assessment of a Glacial Lake Outburst Flood (GLOF). The 3U cubesat ...
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 ...
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 ...
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 ...