بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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141
Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
منشور في 2017"…In contrast to traditional approaches on this topic, this dissertation seeks to analyze the depth of users’ engagement with social media posts and discuss the basis for a predictive model that to predict the total engagement of a post before publishing. At the beginning, a data set was collected from Crowdbabble online tool and the collected dataset presented different periods and different social media networks to examine the user behavior at different times. …"
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142
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143
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144
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
منشور في 2023"…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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article -
145
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146
Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
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147
Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
148
Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform
منشور في 2022"…<p dir="ltr">This paper presents a privacy persevering framework for a decentralized stock exchange platform, ensuring anonymity and unlinkability of the investors’ accounts and their respective trading activities. …"
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149
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150
Arabic Hotel Reviews Sentiment Analysis Using Deep Learning
منشور في 2023"…Our models utilized advanced text preprocessing, feature extraction, and classification algorithms to accurately predict sentiment polarity in Arabic hotel reviews. …"
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151
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152
A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation
منشور في 2021"…The proposed approach deals with system uncertainties (current/voltage variability, noise, measurement errors, ⋯) by using an interval-valued data representation, and with large-scale systems by using a dataset size-reduction framework. …"
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153
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
منشور في 2021"…We also present a set of best practices to follow to obtain high-quality data from these low-cost sensors.…"
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154
The use of multi-task learning in cybersecurity applications: a systematic literature review
منشور في 2024"…Cybersecurity has become vital in information technology, with data protection being a major priority. Despite government and corporate efforts, cybersecurity remains a significant concern. …"
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155
IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture
منشور في 2025"…The IoMT sector deals with valuable, confidential healthcare-related data and offers convenient, personalized healthcare services. …"
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156
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157
Information warfare recovery-fighting back through the matrix. (c2012)
منشور في 2012احصل على النص الكامل
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masterThesis -
158
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159
A synchronous/asynchronous multi-master replication method. (c2007)
منشور في 2007احصل على النص الكامل
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masterThesis -
160
Building power consumption datasets: Survey, taxonomy and future directions
منشور في 2020"…Accordingly, a novel visualization strategy based on using power consumption micro-moments has been presented along with an example of deploying machine learning algorithms to classify the micro-moment classes and identify anomalous power usage.…"