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Toplam kayıt 150, listelenen: 81-90
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 ...
FbpA iron storage and release are governed by periplasmic microenvironments
(Royal Society of Chemistry, 2017)
Ferric binding protein (FbpA) is part of an elaborate iron piracy mechanism evolved in Gram-negative bacteria, shuttling iron in the periplasmic space, from the outer to the cytoplasmic membrane side. We address how the ...
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 ...
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 ...
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 ...
CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
(NLM (Medline), 2020)
OBJECTIVE: Develop CACTUS (cancer image annotating, calibrating, testing, understanding and sharing) as a novel web application for image archiving, annotation, grading, distribution, networking and evaluation. This helps ...
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 ...