بدائل البحث:
making algorithm » cosine algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
models using » model using (توسيع البحث)
making algorithm » cosine algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
models using » model using (توسيع البحث)
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161
An evolutionary algorithm for solving the geometrically constrained site layout problem
منشور في 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 -
162
Natural optimization algorithms for the cross-dock door assignment problem
منشور في 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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article -
163
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…"
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masterThesis -
164
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165
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 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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166
Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
منشور في 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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167
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 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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168
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169
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
منشور في 2023احصل على النص الكامل
doctoralThesis -
170
Efficient heuristic algorithms for influence propagation in social networks. (c2018)
منشور في 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 -
171
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
منشور في 2012احصل على النص الكامل
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masterThesis -
172
Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks
منشور في 2018"…These networks have non-uniform transmission ranges and are modeled using directed disk graphs. The corresponding graph theoretic problem seeks a strongly connected dominating-absorbent set of minimum cardinality in a digraph. …"
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article -
173
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
منشور في 2021"…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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article -
174
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
منشور في 2022"…Distributed clustering algorithms, however, can fulfil this gap. They extract a classification model from the distributed objects even when they are in different sites and locations. …"
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masterThesis -
175
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176
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177
Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
منشور في 2024"…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …"
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178
Performance Modeling of Rooftop PV Systems in Arid Climate, a Case Study for Qatar: Impact of Soiling Losses and Albedo Using PVsyst and SAM
منشور في 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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179
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …"
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180
A quantum algorithm for evolving open quantum dynamics on quantum computing devices
منشور في 2020"…<p dir="ltr">Designing quantum algorithms for simulating quantum systems has seen enormous progress, yet few studies have been done to develop quantum algorithms for open quantum dynamics despite its importance in modeling the system-environment interaction found in most realistic physical models. …"