بدائل البحث:
machine algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data tracking » radar tracking (توسيع البحث)
element » elements (توسيع البحث)
machine algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data tracking » radar tracking (توسيع البحث)
element » elements (توسيع البحث)
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281
Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
منشور في 2023"…<p dir="ltr">The widespread penetration of inverter-based resources has profoundly impacted the electrical stability of power systems (PSs). …"
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282
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Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
منشور في 2024"…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …"
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285
LNCRI: Long Non-Coding RNA Identifier in Multiple Species
منشور في 2021"…To overcome these challenges we developed LNCRI (Long Non-Coding RNA Identifier), a novel machine learning (ML)-based tool for the identification of lncRNA transcripts. …"
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286
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290
Ensemble Deep Random Vector Functional Link Neural Network for Regression
منشور في 2022"…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …"
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291
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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
منشور في 2023"…DL algorithms require data labeling and high-performance computers to effectively analyze and understand surveillance data recorded from fixed or mobile cameras installed in indoor or outdoor environments. …"
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294
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296
A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT
منشور في 2022"…LR DoS attacks are difficult to detect as their attack signature is similar to benign network traffic. The existing AI-based detection algorithms in the literature are signature-based, and their efficacy in detecting unknown LR DoS attacks was not explored. …"
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297
Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System
منشور في 2021"…The model accuracy was validated with the results from different machine learning algorithms. The Accuracy, sensitivity, and specificity of the ANFIS model are 91.17±1.18%, 92±2.26%, 96.72±0.93%, respectively. …"
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