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61
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62
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
منشور في 2022"…Seven important predictor variables are identified using a supervised feature selection approach: oil and water velocities, FP, input diameter, oil and water density, and oil viscosity. …"
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63
FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2019احصل على النص الكامل
doctoralThesis -
64
New Hardware Algorithms and Designs for Montgomery Modular Inverse Computation in Galois Fields GF(p) and GF(2n)
منشور في 2002"…We adjust and modify a GF(2n) Montgomery inverse algorithm to benefit from multi-bit shifting hardware features making it very similar to the proposed best design of GF(p) inversion hardware. …"
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احصل على النص الكامل
masterThesis -
65
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66
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…GA is enhanced by adding a multi-objective function, which selects the best features and achieves improved fitness outcomes to explore the essential features and helps minimize dimensions, enhance the true positive rate (TPR), and lower the false positive rate (FPR). …"
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67
Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice
منشور في 2020"…A more compact multileveled features are then obtained by sample-based discretization techniques and Neighborhood Component Analysis (NCA) is applied to select features iteratively. …"
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68
A machine learning model for early detection of diabetic foot using thermogram images
منشور في 2021"…We have compared a machine learning-based scoring technique with feature selection and optimization techniques and learning classifiers to several state-of-the-art Convolutional Neural Networks (CNNs) on foot thermogram images and propose a robust solution to identify the diabetic foot. …"
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69
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70
Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques
منشور في 2025"…The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …"
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71
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
منشور في 2023"…The proposed technique involved two major steps: feature selection and fault classification. Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …"
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72
The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
منشور في 2022"…The most prominent ML algorithm was a support vector machine, and the DL algorithm was a convolutional neural network. …"
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73
Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet
منشور في 2025"…To guarantee accuracy and uniformity, the data is preprocessed by addressing missing values and ensuring consistency. A hybrid feature selection technique integrates the Boruta algorithm and SHAP (SHapley Additive exPlanations) values to ensure robust feature selection. …"
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74
A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network
منشور في 2020"…The preprocessing of data includes remove missing value records and remove columns that have a negligible impact. The feature selection uses Grey Wolf Optimisation and Binary Search algorithms for choosing the best features out of the dataset. …"
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75
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
منشور في 2022"…<p dir="ltr">The current paper proposes intelligent Fault Detection and Diagnosis (FDD) approaches, aimed to ensure the high-performance operation of Wind energy conversion (WEC) systems. First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"
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76
Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
منشور في 2018"…We examined different feature selection methods and classification algorithms to find the best prediction model with the highest accuracy. …"
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77
Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
منشور في 2024"…We use a large number of features to predict the iron ore price, and we select a promising set of features using two feature reduction methods: Pearson’s correlation and a newly proposed categorized correlation. …"
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احصل على النص الكامل
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78
Analysis of the Performance Impact of Fine-Tuned Machine Learning Model for Phishing URL Detection
منشور في 2023"…The result demonstrates that data balance improves accuracy marginally, whereas hyperparameter adjustment and feature selection improve accuracy significantly. …"
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احصل على النص الكامل
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79
Perceived Information Assurance in Conversational Systems
منشور في 2026"…Feature selection demonstrated that comparable performance (96.76% accuracy) could be maintained with only 19 optimally selected features, representing an 83.8% reduction in model complexity. …"
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احصل على النص الكامل
article -
80
Local convexity preserving rational cubic spline curves
منشور في 1997"…An algorithm is presented which constructs a curve by interpolating the given data points. …"
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احصل على النص الكامل
article