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101
A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks
Published 2025“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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102
The GCC Economies in the Wake of COVID-19: Toward Post-Oil Sustainable Knowledge-Based Economies?
Published 2022“…Thirdly, the paper aims to analyze the present state of the knowledge-based economy in the GCC region, including its strengths, drawbacks, and prospects for the future. …”
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Adherence and retention to the self-managed community-based Step Into Health program in Qatar (2012–2019)
Published 2022“…<h3>Purpose</h3><p dir="ltr">Investigate adherence and retention to the “Step Into Health (SIH)” initiative (www.stepintohealth.qa [website access only available from within the State of Qatar]), a Qatari self-managed community-based health program, from 2012 to 2019. …”
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An Energy-Water-Food Nexus-based Decision-making Framework to Guide National Priorities in Qatar
Published 2021“…The energy sector, backed by abundant natural gas reserves, does not necessitate significant attention, however, it requires a continuous monitoring being an essential driver for both the water and food systems. …”
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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework
Published 2022“…Finally, we evaluate and compare GDLL with the state-of-the-art solutions and outperform it significantly in terms of efficiency while maintaining similar GNN convergence.…”
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110
GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review
Published 2025“…This review establishes a comprehensive foundation for understanding the current state and future directions of GAN-based approaches for rolling bearing fault diagnosis and prognosis, offering researchers and practitioners a valuable resource in industrial predictive maintenance.…”
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111
Reasons behind the non-application of the activity based costing system in developing countries, case of Lebanon
Published 2016“…Hypotheses are developed stating the most significant reasons that are tested through survey and interviews. …”
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112
Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
Published 2024“…<p dir="ltr">The <u>gas turbine engine</u> is a predominant <u>prime mover</u> in the transport and energy sectors, and ensuring its reliable operation holds paramount significance. While intelligent fault diagnosis (FD) approaches have seen successful advancements within the <u>gas turbine</u> FD landscape, many existing methods operate under the assumption of identical health states during both data collection and the FD process. …”
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113
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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114
The Prevalence and Genetic Spectrum of Familial Hypercholesterolemia in Qatar Based on Whole Genome Sequencing of 14,000 Subjects
Published 2022“…This pioneering study provides a reliable estimate of FH prevalence in Qatar based on a significantly large population-based cohort, whilst uncovering the spectrum of genetic variants associated with FH.…”
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115
A Novel Hybrid Physical-Layer Authentication Scheme for Multiuser Wireless Communication Systems
Published 2023“…In this article, an enhanced hybrid channel/device-based physical-layer authentication (PLA) scheme is proposed. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection
Published 2025“…Our approach significantly outperformed state-of-the-art methods in terms of classification accuracy. …”
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MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN
Published 2023“…To evaluate the effectiveness of MACGAN, extensive qualitative and quantitative comparisons are conducted with state-of-the-art image-to-image translation models, all-in-one adverse weather removal models, and single-effect removal models. …”
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