بدائل البحث:
developing based » developing a (توسيع البحث), developing 21st (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
mould » could (توسيع البحث), would (توسيع البحث), mold (توسيع البحث)
developing based » developing a (توسيع البحث), developing 21st (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
mould » could (توسيع البحث), would (توسيع البحث), mold (توسيع البحث)
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161
Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
منشور في 2017"…Different classification algorithms were applied to the dataset using the Rapidminer tool. …"
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162
The use of multi-task learning in cybersecurity applications: a systematic literature review
منشور في 2024"…Five critical applications, such as network intrusion detection and malware detection, were identified, and several tasks used in these applications were observed. Most of the studies used supervised learning algorithms, and there were very limited studies that focused on other types of machine learning. …"
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163
Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT
منشور في 2021"…This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. …"
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164
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165
A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48
منشور في 2022"…The performance of the algorithms for accuracy was evaluated using the Healthcare (heart attack possibility) dataset, freely available on kagle. …"
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166
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. However, the increasing adoption of FL in these devices exposes them to adversarial attacks that can compromise user data and device security. …"
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167
A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
منشور في 2022"…The LSB substitution method can minimize the error rate in embedding process and can achieve greater reliability in criteria, using novel algorithm based on value difference. …"
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168
Predicting Plasma Vitamin C Using Machine Learning
منشور في 2022"…The objective of this study is to predict plasma vitamin C using machine learning. The NHANES dataset was used to predict plasma vitamin C in a cohort of 2952 American adults using regression algorithms and clustering in a way that a hypothetical health application might. …"
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169
Stochastic Search Algorithms for Exam Scheduling
منشور في 2007"…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …"
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170
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171
Robust Control Of Sampled Data Systems
منشور في 2020"…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…"
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172
Robust Control Of Sampled Data Systems
منشور في 2020"…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…"
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173
Robust Control Of Sampled Data Systems
منشور في 2020"…They then present a numerical controller design algorithm based on the derived bounds.Examples are used for demonstration.…"
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174
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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175
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"
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176
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177
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178
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…<p dir="ltr">Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the Principal Component Analysis (PCA). …"
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179
Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
منشور في 2020"…Keeping in view the need of an optimization algorithm with fast convergence speed, suitable for high dimensional data space, this article proposes a novel concept of Multi-Cluster Jumping PSO. …"
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180
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"