بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
deep algorithm » deer algorithm (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
elements per » elementi per (توسيع البحث), elements _ (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
deep algorithm » deer algorithm (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
elements per » elementi per (توسيع البحث), elements _ (توسيع البحث)
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121
Process Mining over Unordered Event Streams
منشور في 2020"…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
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122
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
123
Mapping realistic data sets on parallel computers
منشور في 1993احصل على النص الكامل
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conferenceObject -
124
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125
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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126
DRL-Based IRS-Assisted Secure Visible Light Communications
منشور في 2022"…Therefore, we proposed a Deep Reinforcement Learning (DRL) solution based on Deep Deterministic Policy Gradient (DDPG) algorithm to solve the highly complex SC problem by adjusting the BF weights and mirror orientations. …"
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127
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
منشور في 2023"…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …"
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128
Spider monkey optimizations: application review and results
منشور في 2024"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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129
Sentiment visualization of correlation of loneliness mapped through social intelligence analysis
منشور في 2024"…Social media platforms have become a valuable source of data to study this phenomenon.</p><h3>Objectives</h3><p dir="ltr">This paper aims to visualize the frequency of loneliness-related themes and topics in Twitter data. …"
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130
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132
Design and implementation of a deep learning-empowered m-Health application
منشور في 2023"…Later, the web service classifies using the pre-trained model built based on a deep learning algorithm. The final phase displays the confidence rates on the mobile application. …"
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133
Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
منشور في 2021"…<p>Deep learning (DL)-based PV Power Forecasting (PVPF) emerged nowadays as a promising research direction to intelligentize energy systems. …"
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134
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis -
135
Machine Learning Model for a Sustainable Drilling Process
منشور في 2023احصل على النص الكامل
doctoralThesis -
136
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
منشور في 2023"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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137
Data redundancy management for leaf-edges in connected environments
منشور في 2022"…Major advances in the fields of Internet and Communication Technology (ICT), data modeling/processing, and sensing technology have rendered traditional environments (e.g., cities, buildings) more connected. …"
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article -
138
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
منشور في 2022"…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …"
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139
A hybrid graph representation for recursive backtracking algorithms
منشور في 2017"…The performance of these algorithms often suffers from the increasing number of graph modifications, such as deletions, that reduce the problem instance and have to be “taken back” frequently during the search process. …"
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conferenceObject -
140
The effects of data balancing approaches: A case study
منشور في 2023"…Our results showed that the replacement method was effective, and LogisticRegression combined with the oversampling algorithms SMOTE or ADASYN, GaussianProcessClassifier with the oversampling algorithm SMOTE, and LinearDiscriminantAnalysis were the best performing models after log transformation of the dataset was followed by Recursive Feature Elimination.…"