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YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm
منشور في 2025"…Accurately identifying small defects on PCB surfaces remains a considerable challenge, particularly under complex background conditions, due to the intricate and compact layout of the boards. …"
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Does problem‐based learning facilitate enactment of learner agency in undergraduate dental curricula? A Q study
منشور في 2022"…<h3>Introduction</h3><p dir="ltr">Addressing a literature gap on leaner agency in health profession education, this study explores students' perceptions on which aspects of a problem‐based learning (PBL) environment cradle their leaner agency enactment.…"
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A comprehensive review on harvesting of microalgae using Polyacrylamide-Based Flocculants: Potentials and challenges
منشور في 2021"…<p dir="ltr">Microalgae biomass is touted as a highly promising source of renewable third-generation biofuels that could enable a lucrative transition from conventional fossil fuels to more sustainable and environment-friendly energy alternatives. …"
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Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD
منشور في 2024"…The MIS dataset represents multiple ISNAD of the Hadith based on the Sahih Muslim Hadith book. The dataset was carefully extracted from online multiple Hadith sources using data scraping and web crawling techniques tools, providing extensive Hadith details. …"
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Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar
منشور في 2019"…<div><p>Photovoltaics (PV) output power is highly sensitive to many environmental parameters and the power produced by the PV systems is significantly affected by the harsh environments. The annual PV power density of around 2000 kWh/m2 in the Arabian Peninsula is an exploitable wealth of energy source. …"
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A machine learning-based optimization approach for pre-copy live virtual machine migration
منشور في 2023"…One solution to tackle the service unavailability is Live Virtual Machine Migration (LVM), that is, moving virtual machines (VMs) from the source host machine to the destination host without disrupting the running application. …"
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Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
منشور في 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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Preparing foundation-year students for medical studies in a problem-based learning environment: Students׳ perceptions
منشور في 2016"…Paired t-tests showed significant improvements (p<.001) for each of the 4 factors. …"
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Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems
منشور في 2022"…On the other hand, ensemble learning (EL) techniques have gained significant attention from the scientific community. …"
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Non-Linear Programming-Based Energy Management for a Wind Farm Coupled with Pumped Hydro Storage System
منشور في 2022"…<p dir="ltr">The large-scale integration of renewable energy sources (RESs) has become one of the most challenging topics in smart grids. …"
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Eco-friendly paper-based colorimetric sensor for portable and rapid detection of lead (II) ions in aqueous environment
منشور في 2025"…The developed sensor offers a promising alternative for field-based detection of lead in contaminated water sources, providing a low-cost, easy-to-use, and reliable method for environmental monitoring.…"
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Antiamoebic activity of plant‑based natural products and their conjugated silver nanoparticles against Acanthamoeba castellanii (ATCC 50492)
منشور في 2020"…The natural compounds showed significant growth inhibition of A. castellanii while QT-AgNPs specifically exhibited enhanced antiamoebic effects as well as interrupted the encystation and excystation activity of the amoebae. …"
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection
منشور في 2025"…Our approach significantly outperformed state-of-the-art methods in terms of classification accuracy. …"