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Toplam kayıt 71, listelenen: 31-40
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 ...
Early warning system: from face recognition by surveillance cameras to social media analysis to detecting suspicious people
(Elsevier B.V., 2020)
Surveillance security cameras are increasingly deployed in almost every location for monitoring purposes, including watching people and their actions for security purposes. For criminology, images collected from these ...
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 ...
Deep learning- and word embedding-based heterogeneous classifier ensembles for text classification
(Wiley-Hindawi, 2018)
The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a text classification/categorization system. Ensemble ...