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learning algorithm » learning algorithms (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
data learning » deep learning (Expand Search)
develop » developed (Expand Search)
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601
Predicting Android Malware Using Evolution Networks
Published 2025“…This issue requires the development of efficient solutions in order to keep up with the continuous evolution of malware. …”
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masterThesis -
602
A fine-grained XML structural comparison approach
Published 2007“…Our approach consists of two main algorithms for discovering the structural commonality between sub-trees and computing tree-based edit operations costs. …”
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conferenceObject -
603
Cardiovascular health research priorities in the United Arab Emirates
Published 2023“…The top research priority areas were: development of evidence-based, customized algorithms for CVD prevention and in-hospital emergency interventions; the availability, accessibility, and affordability of CVD treatment and rehabilitation; identification of relationships between CVDs, lifestyle factors, and mental health; efficacy and constraints in the management of cardiac emergencies; and epidemiological studies that trace CVD in the UAE. …”
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article -
604
An XML Document Comparison Framework
Published 2001“…A prototype has been developed to evaluate the optimality and performance of our method. …”
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article -
605
An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks
Published 2022“…The developed algorithms were tested on the IEEE 123 bus network, and their results were compared. …”
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606
Modelling of pollutant transport in compound open channels
Published 1998“…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …”
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masterThesis -
607
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608
A comparative analysis to forecast carbon dioxide emissions
Published 2022“…This leads to the second step, which involves formulating the multivariate time series CO<sub>2</sub> emissions forecasting challenges considering its influential factors. Based on multivariate time series prediction, four deep learning algorithms are analyzed in this work, those are convolution neural network (CNN), CNN long short-term memory (CNN–LSTM), long short-term memory (LSTM), and dense neural network (DNN). …”
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609
A Framework for Predictive Modeling in Sustainable Projects
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doctoralThesis