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models using » model using (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
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162
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
Published 2021“…It investigates the gain in training time and the performance in terms of accuracy when clustering-based deep learning modeling is employed for STLF. A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …”
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163
An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems
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masterThesis -
164
Animal migration optimization algorithm: novel optimizer, analysis, and applications
Published 2024“…In this paper, we present an overview of the AMO algorithm, describe the algorithm procedure, summarize some of the recent works and applications that use AMO algorithms, classify these works in many application domains, and display the robustness points, weak points, and limitations for AMO. …”
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165
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 -
166
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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167
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
Published 2016Get full text
doctoralThesis -
168
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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169
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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170
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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171
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 -
172
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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173
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 -
174
Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…Logistic Regression, XGBoost, and Naïve Bayes models have proven to be useful for this kind of study where three different scenarios are drawn. …”
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175
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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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177
Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025“…The current study utilises state-of-the-art ML and DL models for predicting the hERG-blocking ability of chemical compounds using a dataset of 8337 molecules. …”
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178
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Published 2023“…<p>Metaheuristics are popularly used in various fields, and they have attracted much attention in the scientific and industrial communities. In recent years, the number of new metaheuristic names has been continuously growing. …”
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179
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…”
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180