Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator حسب Fatemeh Negar Irani (22302835)

"…A <u>deep neural network</u>-based transfer learning framework is proposed for realizing a precise adaptive linear model called the deep transfer linear (DTL) model enabling reliable prediction of the system’s behavior in various situations and designing structured fault residuals. …"

A customised fetal growth and birthweight standard for Qatar: a population-based cohort study حسب Thomas Farrell (3933833)

Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems حسب Khaled Dhibi (16891524)

"…EL is a technique that creates and combines multiple machine learning models in order to produce one optimal predictive model which gives improved results. The goal of this paper is to develop and validate effective neural networks based ensemble approach. …"

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images حسب Hamada R. H. Al-Absi (16726299)

"…<p dir="ltr">Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased morbidity and mortality. With a significant portion of cases remaining undiagnosed, particularly in the Middle East North Africa (MENA) region, more accurate and accessible diagnostic methods are essential. …"

Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals حسب Farhana Ahmed Chowdhury (22564808)

"…While traditional cuff-based approaches are non-invasive, they have limitations in providing continuous blood pressure monitoring. …"

Incidence, Risk Factors, and Outcomes of Preterm and Early Term Births: A Population-Based Register Study حسب Salma Younes (6424865)

The Prevalence and Genetic Spectrum of Familial Hypercholesterolemia in Qatar Based on Whole Genome Sequencing of 14,000 Subjects حسب Ilhame Diboun (3522413)

"…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.…"

Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger حسب Mariem Mhiri (17991544)

"…Next, this data is processed through Aspen HYSYS-based and ML-driven DT to assess the system performance and predict potential failures, respectively. …"

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects حسب Mohamed Massaoudi (16888710)

"…Motivated by the outstanding success of DL-based prediction methods, this article attempts to provide a thorough review from a broad perspective on the state-of-the-art advances of DL in SG systems. …"

Non-Linear Programming-Based Energy Management for a Wind Farm Coupled with Pumped Hydro Storage System حسب Jannet Jamii (21383663)

"…The forecasting module is responsible for predicting the wind power generation and load demand. …"

Epidemiology of extended-spectrum beta-lactamase producing Enterobacteriaceae in Qatar: A 3-year hospital-based study حسب Musaed Alsamawi (14778031)

FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos حسب Najmath Ottakath (17430912)

"…In this work, we propose a pipeline named Flashover Detector and Time Estimator, which integrates a transformer-based model to accurately predict flashover occurrences, while a Three Dimensional Convolutional Neural Network-based model estimates the time to flashover. …"

Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function حسب Ibrahim M. Abu-Reesh (4501213)

"…The <i>fmincon</i> optimization results agree well with the literature that used different optimization methods. The model-based optimization predicts the best performance of PBR without conducting experiments. …"

Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions حسب Dao H. Vu (19517236)

Prostate-based biofluids for the detection of prostate cancer: A comparative study of the diagnostic performance of cell-sourced RNA biomarkers حسب Roberts, Matthew J.

"…The aim of this study was to investigate if PEUW contained prostate-based material, evidenced by the presence of prostate specific antigen (PSA), and to evaluate the diagnostic performance of PEUW-based biomarkers. …"
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Emerging investigators series: revisiting greenhouse gas mitigation from conventional activated sludge and anaerobic-based wastewater treatment systems حسب Chen, Siming

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The impact of nozzle diameter and printing speed on geopolymer-based 3D-Printed concrete structures: Numerical modeling and experimental validation حسب Shoukat Alim Khan (14778226)

"…The numerical model successfully captures these buildability trends, though with an error ranging from 32 % to 45 % in predicting failure in 3D-printed structures. Nevertheless, the overall performance of the numerical model remains reliable in predicting the influence of printing parameters on buildability.…"

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection حسب Sulaiman Khan (12585349)

"…This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…"

Analysis of the Capacitor-Less D-STATCOM for Voltage Profile Improvement in Distribution Network With High PV Penetration حسب Wesam Rohouma (16904871)

Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides حسب Mansuck Kim (19570903)

"…The other two predicted modules were indirectly involved in the defense response, where the most significant GO terms associated with these modules were GO:0046914 (transition metal ion binding) and GO:0046686 (response to cadmium ion). …"