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121
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122
Data Generation for Path Testing
منشور في 2004احصل على النص الكامل
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123
BUC algorithm for iceberg cubes
منشور في 2003"…The Uniform distribution is used as a basis for comparison. Results show that when the cube is sparse there is a correlation between the data distribution and the running time of the algorithm. …"
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conferenceObject -
124
An enhanced quorum selection algorithm
منشور في 2009احصل على النص الكامل
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125
An Improved Quorum Selection Algorithm
منشور في 2008احصل على النص الكامل
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conferenceObject -
126
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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127
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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128
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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129
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130
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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131
QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning
منشور في 2024"…We collected PPG signals, demographic information, and blood pressure data from 139 diabetic (49.65%) and non-diabetic (50.35%) subjects. …"
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132
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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133
A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
منشور في 2022"…<p>Communication has become a lot easier in this era of technology, development of high-speed computer networks, and the inexpensive uses of Internet. …"
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134
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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135
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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136
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137
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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138
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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139
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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140
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. …"