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decrease » increase (Expand Search)
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Published 2021“…These results outperform the individual modalities with a significant margin (~5%). We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …”
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Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion
Published 2022“…The overall results showed that vigilance is a brain region specific and the fusion of EEG+and Eye tracking data using CCA has significantly improved the classification accuracy of vigilance levels assessment.…”
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Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach
Published 2023“…Using Economics as the problem domain, experimental evalua tion evidenced the high accuracy of our FDG-SKML approach in complex Arabic relation extraction task and demonstrated its further improvement upon integration with machine learning classifiers.…”
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The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000)
Published 2000“…The management of this disease is symptomatic, mainly based on the use of levodopa. Due to the high incidence of adverse effects associated with its chronic use, alternative treatments based on the direct-acting dopamine agonists have been used. …”
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Improving the reconstruction of dental occlusion using a reconstructed-based identical matrix point technique
Published 2022“…In this research, a modern method to re-establish dental occlusion has been designed using a Reconstructed-based Identical Matrix Point (RIMP) technique. …”
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Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar
Published 2019“…Two different bias calculation techniques were used to evaluate the instances of biased prediction, which can be utilized to reduce bias to improve accuracy. …”
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COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar
Published 2021“…The estimated number of infected population on any given day using the wastewater-based epidemiology approach declined from 542,313 ± 51,159 to 31,181 ± 3081 over the course of the sampling period, which was significantly higher than the officially reported numbers. …”
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EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis
Published 2020“…The strength and directionality of information flow in the connectivity network by RWTE/PDC and the GTA measures significantly decrease with vigilance decrement, p<0.05. …”
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Key determinants of SMEs’ export performance: a resource-based view and contingency theory approach using potential mediators
Published 2020“…</p><h3>Design/methodology/approach</h3><p dir="ltr">This study draws on contingency theory and takes a resource-based and market-based view to provide a holistic understanding of the issue. …”
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SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network
Published 2022“…We develop dynamic partial offloading solutions using the Lyapunov drift-plus-penalty optimization approach. …”
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Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals
Published 2025“…While traditional cuff-based approaches are non-invasive, they have limitations in providing continuous blood pressure monitoring. …”
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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images
Published 2024“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. The newly proposed DiaNet v2 model is developed using a large dataset from Qatar Biobank (QBB) and Hamad Medical Corporation (HMC) covering wide range of pathologies in the the retinal images. …”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”