بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
trained using » brines using (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
trained using » brines using (توسيع البحث)
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121
Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
منشور في 2021احصل على النص الكامل
doctoralThesis -
122
A New Approach for Recognizing Saudi Arabian License Plates using Neural Networks
منشور في 2020"…Finally, a Multilayer Feedforward Neural Network (MFNN) with a backpropagation (BP) algorithm is used for character recognition. We discuss new features from the characters for training the NN. …"
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article -
123
Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System
منشور في 2021"…Based on this observation, the ANFIS model was trained using the extracted EMG features for DSPN severity stratification and showed promising results. …"
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124
Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
منشور في 2013احصل على النص الكامل
doctoralThesis -
125
Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models
منشور في 2023"…For the basic machine learning algorithms, LR, NB, SVM, RF, DT, MLP, AdaBoost, GBoost, and an ensemble model of machine learning classifiers were used. …"
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126
Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML
منشور في 2022"…Based on these features, the authors trained their models using supervised learning methods. …"
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127
A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network
منشور في 2020"…The feature selection uses Grey Wolf Optimisation and Binary Search algorithms for choosing the best features out of the dataset. …"
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128
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"
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129
Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…In order to benefit from multiple different classifiers, and exploit their strengths, the use of ensembling algorithms arises, which combine the results of the individual classifiers into a final result to achieve greater precision and thus a better result. …"
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130
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131
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
منشور في 2020"…Experimental data was used to develop the appropriate architecture for the AAN using iterative steps of training and testing. …"
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132
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. The multilayer perceptron model is trained using historical data from the greenhouse with solar radiation, outside temperature, humidity difference, fan speed, HVAC control as the input parameters to predict the temperature. …"
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133
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134
A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques
منشور في 2022"…We study the key research areas in phishing email detection using NLP, machine learning algorithms used in phishing detection email, text features in phishing emails, datasets and resources that have been used in phishing emails, and the evaluation criteria. …"
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احصل على النص الكامل
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135
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma
منشور في 2019"…We extend the method to bidirectional LSTMs (BiLSTMs) and use it in the context of predicting future clinical outcomes using patients’ EHR historical visits.…"
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136
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137
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
منشور في 2024"…Advanced machine learning algorithms are used in this study to figure out the complicated relationship between the crashworthiness parameters of the hexagonal composite ring specimens under lateral compressive, energy absorption, and failure modes. …"
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138
Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
منشور في 2024"…This is done by embedding the TF-ICF matrix in a one-layer feed-forward neural network. The latter is trained using the gradient descent algorithm allowing to iteratively update the term-category matrix until reaching convergence. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
139
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
منشور في 2019"…A series of vocabularies consisting of 10 cluster centers of each class is calculated using the k-means cluster algorithm. Lastly, the emotion of each subject is represented using the histogram of the vocabulary set collected from the raw-feature of a single channel. …"
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140
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
منشور في 2019"…We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. …"