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boosting algorithm » cosine algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
element » elements (Expand Search)
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Performance Modeling of Rooftop PV Systems in Arid Climate, a Case Study for Qatar: Impact of Soiling Losses and Albedo Using PVsyst and SAM
Published 2025“…To overcome these limitations, the Humboldt State University (HSU) soiling model was calibrated using field measurements from a DustIQ sensor, and its parameters, rainfall cleaning threshold and particulate deposition velocity were optimized through a Differential Evolution algorithm. …”
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143
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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doctoralThesis -
144
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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145
Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. Datasets can be classified using various methods. …”
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146
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …”
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147
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …”
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148
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Hundreds of such labeled graphs were used to train the model to predict the location of centroids. …”
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masterThesis -
149
Transmission Line Fault Location Using Unsynchronized Measurements
Published 2013Get full text
doctoralThesis -
150
An evolutionary algorithm for solving the geometrically constrained site layout problem
Published 2017“…The layout problem considered in this paper is a static layout problem characterized by affinity weights used to model transportation costs between facilities and by geometric constraints between relative positions of facilities on site. …”
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conferenceObject -
151
Natural optimization algorithms for the cross-dock door assignment problem
Published 2016“…A lot of research has been conducted regarding this topic; still, up to our knowledge, none used scatter search (SS). This paper modifies a classical mathematical model that represents the CDAP and implements an evolutionary metaheuristic SS algorithm and tests it and then compares the results with those of another evolutionary algorithm, i.e., genetic algorithm (GA). …”
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152
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…”
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masterThesis -
153
An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems
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masterThesis -
154
Correlation Clustering with Overlaps
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masterThesis -
155
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Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …”
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 2022“…The proposed system simulation is carried out using the MATLAB/Simulink-2021a® software. From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…”
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160
Efficient heuristic algorithms for influence propagation in social networks. (c2018)
Published 2018“…Then we introduce the notion of an influence propagation function and use it to design an efficient algorithm across all types of networks. …”
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masterThesis