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Toplam kayıt 77, listelenen: 31-40
Human action recognition approaches with video datasets-A survey
(Elsevier B.V., 2021)
Human Activity Recognition has recently attracted considerable attention. This has been triggered by the rapid development of advance technologies and learning methods. Human action recognition can be actively used in a ...
Mechanistic insight into impact of phosphorylation on the enzymatic steps of farnesyltransferase
(Wiley, 2022)
Farnesyltransferase (FTase) is a heterodimeric enzyme, which catalyzes covalent attachment of the farnesyl group to target proteins, thus coordinating their trafficking in the cell. FTase has been demonstrated to be highly ...
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 ...
SNF-CVAE: Computational method to predict drug-disease interactions using similarity network fusion and collective variational autoencoder
(Elsevier, 2021)
Drug repositioning is an emerging approach to identify novel therapeutic potentials for approved drugs and discover therapies for previously untreatable diseases. Drug repositioning has also attracted considerable attention ...
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 ...
Dimethyl sulfoxide reduces the stability but enhances catalytic activity of the main SARS-CoV-2 protease 3CLpro
(John Wiley and Sons Inc, 2021)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for coronavirus disease 2019 (COVID-19), one of the most challenging global pandemics of the modern era. Potential treatment strategies against ...
A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs
(Korean Acad Oral and Maxillofacial Radiology, 2022)
Purpose: The aim of this study was to assess the performance of a deep learning system for permanent tooth germ detection on pediatric panoramic radiographs.Materials and Methods: In total, 4518 anonymized panoramic ...
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 ...
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 ...
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 ...