بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019"…Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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143
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
منشور في 2023احصل على النص الكامل
doctoralThesis -
144
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021"…Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"
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145
Extreme Early Image Recognition Using Event-Based Vision
منشور في 2023"…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …"
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146
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
منشور في 2021"…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …"
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147
A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
منشور في 2025"…Three different publicly available datasets have been used based on the age group to create the best predicting model for each case. …"
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148
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149
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
منشور في 2016"…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …"
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150
A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
منشور في 2025"…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. …"
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151
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153
An L2 Gap Metric Identification Algorithm
منشور في 2020"…In this paper, an L2-gap metric identification algorithm is proposed. The algorithm uses a set of frequency response samples to come up with rational models so that the L2-gap between the observations and the identified model is minimized. …"
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154
Spider monkey optimizations: application review and results
منشور في 2024"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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155
Competitive learning/reflected residual vector quantization for coding angiogram images
منشور في 2003"…It was found that it has a higher probability to diverge when used with nonGaussian and nonLaplacian image sources such as angiogram images. By employing competitive learning neural network in the codebook design process, we tried to obtain a stable and convergent algorithm. …"
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156
Metaheuristic Algorithm for State-Based Software Testing
منشور في 2018"…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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احصل على النص الكامل
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احصل على النص الكامل
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157
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158
Lung cancer medical images classification using hybrid CNN-SVM
منشور في 2021"…Computer-Aided Detection (CAD) has been used to process CT images of the lung to determine whether an image has traces of cancer. …"
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159
Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control
منشور في 2021"…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. …"
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160