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Non-Linear Programming-Based Energy Management for a Wind Farm Coupled with Pumped Hydro Storage System
Published 2022“…The forecasting module is responsible for predicting the wind power generation and load demand. …”
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FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos
Published 2025“…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. …”
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Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function
Published 2024“…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. …”
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146
Prostate-based biofluids for the detection of prostate cancer: A comparative study of the diagnostic performance of cell-sourced RNA biomarkers
Published 2016“…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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The impact of nozzle diameter and printing speed on geopolymer-based 3D-Printed concrete structures: Numerical modeling and experimental validation
Published 2024“…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.…”
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Awareness and practice of dentists in gulf cooperation council countries regarding medication-related osteonecrosis of the jaw – A web-based survey
Published 2023“…Materials and methodsThis questionnaire-based study was conducted among dental practitioners in all six GCC countries. …”
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150
Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection
Published 2023“…This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…”
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Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides
Published 2015“…We predicted maize co-expression networks around the selected maize candidate genes based on partial correlation, and subsequently searched for subnetwork modules that were differentially activated when inoculated with two different fungal strains. …”
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152
Navigating the Stock Market: The Role of State-of-the-Art Deep Learning Techniques
Published 2024“…Additionally, our experiments demonstrated a 42–91% reduction in RMSE compared to standard CNN and GRU-based approaches, reflecting significantly improved prediction precision.…”
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Epidemiology of prehospital emergency calls according to patient transport decision in a middle eastern emergency care environment: Retrospective cohort‐based
Published 2024“…This study aimed to explore the determinants influencing emergency call‐response‐based conveyance decisions in a Middle Eastern ambulance service.…”
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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…</p><h2>Other Information</h2><p dir="ltr">Published in: GeoJournal<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10708-024-11187-3" target="_blank">https://dx.doi.org/10.1007/s10708-024-11187-3</a></p>…”
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Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger
Published 2025“…Next, this data is processed through Aspen HYSYS-based and ML-driven DT to assess the system performance and predict potential failures, respectively. …”
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Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
Published 2021“…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. …”
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A Neighborhood Framework for Resource-Lean Content Flagging
Published 2022“…<p dir="ltr">We propose a novel framework for cross- lingual content flagging with limited target- language data, which significantly outperforms prior work in terms of predictive performance. …”
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158
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. …”
