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301
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302
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304
Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset
Published 2021“…This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. Our strategy may significantly accelerate the large-scale deployment of photocatalysts as a promising route to mitigate fomite transmission of pathogens (bacteria, viruses, fungi) in hospital settings and public places.…”
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305
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306
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Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach
Published 2024“…<p dir="ltr">The output of photovoltaic (PV) systems is significantly impacted by the vagaries of ambient temperature, solar irradiance, and environmental fluctuations. …”
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309
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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework
Published 2022“…The base layer utilizes an optimized distributed file system and a scalable graph data store to reduce the performance penalty. …”
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311
HER2-positive apocrine carcinoma of the breast: a population-based analysis of treatment and outcome
Published 2022“…HER2+/SR−/APO had a significantly lower histological grade than the HER2+/SR−/NST (p < 0.001). …”
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312
Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar
Published 2019“…Several multiple regression models and artificial neural network (ANN)-based prediction models were trained and tested to forecast the hourly power output of the PV system. …”
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313
A machine learning-based optimization approach for pre-copy live virtual machine migration
Published 2023“…The experiment results show that our proposed model outperforms other machine learning models in terms of prediction accuracy and it significantly reduces downtime or service unavailability during the migration process.…”
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314
Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches
Published 2025“…Targeted metabolites were selected based on correlation strength with diabetes status. …”
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315
Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
Published 2024“…Aiming at these problems, this study develops a novel unsupervised data-driven FD strategy based on leveraging the potential of <u>transfer learning</u> and the Koopman operator. …”
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316
Indirect Adaptive Polynomial Wavelet-Based Neuro-Fuzzy Controller for STATCOM-Equipped Power Systems
Published 2025“…All proposed controllers significantly outperform the conventional ANFIS-based TSK controller (ANFTSKC) and Lead-Lag Control (LLC), demonstrating the effectiveness of the ANFWC approach in improving power system damping and stability.…”
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317
GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review
Published 2025“…In this work, we conduct a literature review to systematically examine GAN-based data augmentation techniques for fault diagnosis and prognosis of rolling bearings. …”
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318
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The impact of a universal social emotional intervention on students’ mental wellbeing in a secondary public school in Qatar
Published 2023“…<p dir="ltr">This paper is based on a study that explored the impact of a practitioner-designed social emotional program on students’ wellbeing based on the results of the WEMWBS scale in a public secondary school in Qatar. …”
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320
Efficient experimental design for uncertainty reduction in gene regulatory networks
Published 2015“…Gene regulatory networks often contain a significant amount of uncertainty. The process of prioritizing biological experiments to reduce the uncertainty of gene regulatory networks is called experimental design. …”
