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Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles
Published 2024“…Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. …”
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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering
Published 2023“…The dataset was partitioned into 70% training, 20% testing, and 10% validation. The proposed model was based on various phases: (a) removal of noise, (b) selection of feature attributes, (c) image classification, and (d) tumor segmentation. …”
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An Investigation of the Development and Implementation of Teacher's Licensing in Saudi Arabia Based on Local Stakeholders' Perceptions, Compared to International and Regional Pract...
Published 2023“…However, promoting teacher quality concerns leaders in the education sector, and significant efforts to raise teacher quality are paramount to government leaders. …”
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Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems
Published 2022“…Next, in order to more improve the diagnosis abilities, two interval kernel PCA (IKPCA)-based EL classifiers are developed. The IKPCA-EL techniques are addressed so that the features extraction and selection phases are performed using the IKPCA models and the sensitive and significant interval-valued characteristics are transmitted to the EL model for classification purposes. …”
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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
Published 2023“…This approach has significantly reduced the number of features by about 85%. …”
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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
Published 2023“…This approach has significantly reduced the number of features by about 85%. …”
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Evaluation of the effects of standardization process of severe trauma treatment in China
Published 2015“…</p><h3 dir="ltr">Conclusion</h3><p dir="ltr">Staff training and standardization processes can significantly improve the treatment efficiency of severe trauma based on current personnel and organizations of severe trauma treatments in China.…”
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InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images
Published 2023“…<p dir="ltr">In February 2023, Turkey experienced a series of earthquakes that caused significant damage to buildings and affected many people. …”
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Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner
Published 2020“…It is a two-stage deep learning-based framework consisting of an `Agree' and a `Disagree' network. …”
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Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis
Published 2025“…<p dir="ltr">The rapid proliferation of uncrewed aerial vehicles (UAVs) across modern applications has significantly heightened their susceptibility to cyber and physical security threats. …”
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A customised fetal growth and birthweight standard for Qatar: a population-based cohort study
Published 2024“…</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Perinatal Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1515/jpm-2024-0060" target="_blank">https://dx.doi.org/10.1515/jpm-2024-0060</a></p>…”
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Fixing a heart valve
Published 2015“…All of these factors significantly increase the rate of complications following valve replacement, so valve repair is a more viable option in these parts of the world. …”
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Improving the performance of a commercial absorption cooling system by using ejector: A theoretical study
Published 2023“…An improvement of 70.6% in the COP was obtained at the design condition. A parametric analysis was implemented to study the significance of the key parameters in the RACS performance. …”
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A clustering metaheuristic for large orienteering problems
Published 2022“…The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”
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When Should a Brain MRI Be Performed in Children with New-Onset Seizures? Results of a Large Prospective Trial
Published 2021“…Univariate analysis showed a significant increase in the frequency of epileptogenic lesions with decreasing age, the presence of developmental delay, and the number and types of seizures at presentation. …”
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Prehospital plasma transfusion versus standard of care following traumatic injury: a review of the systematic reviews and a meta-analysis
Published 2025“…PHP did not significantly decrease vasopressor use or late mortality; however, it may reduce the total use of RBCs in the first 24 h. …”
