Showing 21 - 40 results of 266 for search '(( greater decrease ) OR ((((( tieds increase ) OR ( deep decrease ))) OR ( per decrease ))))*', query time: 0.13s Refine Results
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    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

    Published 2021
    “…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”
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    Development of flexible PVDF/ BaTiO<sub>3</sub>-MoS<sub>2</sub> polymer nanocomposites for energy harvesting and gas sensing applications by Hemalatha Parangusan (6556133)

    Published 2024
    “…The electroactive, β-phase of the PVDF is shown to increase with the addition of BaTiO<sub>3</sub>–MoS<sub>2</sub> fillers as a result of the filler’s good interfacial interaction with the polymer matrix. …”
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    Moderate Temperature Treatment of Gas-Phase Volatile Organic Toluene Using NiO and NiO–TiO2 Nano-catalysts: Characterization and Kinetic Behaviors by Fares Almomani (12585685)

    Published 2022
    “…Conversely, the high fuel-to-metal ratio generated a nano-catalysts that contains a mixture of Ni/NiO or pure Ni with low activity toward the conversion of toluene. Adding NiO to TiO2 increased the surface area of the catalyst, augmented the catalyst active sites, enhanced the oxidation of toluene, and increased CO2 selectivity ($${\text{S}}_{{{\text{CO}}_{2} }}$$ S CO 2 ). …”
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    Stability enhancement of Al<sub>2</sub>O<sub>3</sub>, ZnO, and TiO<sub>2</sub> binary nanofluids for heat transfer applications by Ans Ahmed Memon (21633692)

    Published 2024
    “…It was concluded from the results that zeta potential increases in cases of (TiO<sub>2</sub> + ZnO) and (Al<sub>2</sub>O<sub>3</sub> + ZnO) from −44.2 to −47.8 mV and −42.4 to −44.1 mV with the addition of surfactant, respectively. …”
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    The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

    Published 2000
    “…Dyskinesias, motor fluctuations, and levodopa-equivalent daily dose requirements decreased by 82.35%,82.14%, and 77%, respectively (p<O.OI). …”
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    First-Principles Density Functional Theory Calculations of Bilayer Membranes Heterostructures of Ti<sub>3</sub>C<sub>2</sub>T<sub>2</sub> (MXene)/Graphene and AgNPs by Golibjon. R. Berdiyorov (18520053)

    Published 2021
    “…For all considered surface terminations, the binding energy of the MXene/graphene and MXene/AgNPs bilayers increases as compared with graphene/graphene and MXene/MXene bilayer structures. …”
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    FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

    Published 2024
    “…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”
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    Tailored nanofiber composites for a flexible piezoelectric nanogenerator: Poly(vinylidene fluoride) with BaTiO<sub>3</sub>/NiFe<sub>2</sub>O<sub>4</sub> by Hemalatha Parangusan (6556133)

    Published 2024
    “…The electroactive phase content of PVDF is increased by adding nanofillers, and the interfacial polarization between the nanofiller and polymer matrix is significantly enhanced. …”
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    Parametric investigation of a chilled water district cooling unit using mono and hybrid nanofluids by Eric C. Okonkwo (14151060)

    Published 2021
    “…The results of the study show that the use of nanofluids increased the overall heat transfer coefficient in the system by 6.6% when using Al<sub>2</sub>O<sub>3</sub>–TiO<sub>2</sub>/water nanofluids. …”
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    Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

    Published 2025
    “…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …”
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    YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

    Published 2025
    “…Compared to the standard YOLOv11 model, the proposed YOLO-DefXpert attained an improvement of 9.3% and 13.2% in mAP50 and mAP95, an 11.25% increase in frames per second, and a 69.85MB decrease in model size. …”
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