Showing 201 - 220 results of 1,297 for search '(( significant 3 based ) OR ( significant ((we decrease) OR (step decrease)) ))', query time: 0.13s Refine Results
  1. 201

    Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study by Yahya, Fares

    Published 2019
    “…The results of cortical activations and connectivity networks show different patterns across three emotions at all frequency bands. Similarly, the results of fusion significantly improve the classification rate in terms of accuracy, sensitivity, specificity and the area under the receiver operator characteristics curve (AROC), p < 0:05. …”
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  2. 202

    CO, CO2, and SO2 detection based on functionalized graphene nanoribbons: First principles study by Ehab, Salih

    Published 2020
    “…In order to improve the adsorption capacity, three different modified AGNR systems have been built. …”
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  3. 203

    Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment by Ikhlas Ghiat (16932564)

    Published 2023
    “…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”
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  5. 205

    “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” by Ahmad Samed Al-Adwan (12048279)

    Published 2023
    “…A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. …”
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  7. 207

    Targeting acute myeloid leukemia cells with novel photosensitive ruthenium-based metal-organic compounds. (c2015) by Azar, Daniel Fadi

    Published 2016
    “…Of the four final complexes Ru-II3, Ru-II2-III, Ru-II-III2 and Ru-III3, only Ru-II3 and Ru-II2-III have shown significant activity against all tested cell lines in the dark, whereas photo-activation against ML2 has shown a marked increase of potency of all four complexes, even those shown to be biologically inert in the dark, reaching IC50 values in the nM range. …”
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  9. 209

    Destabilization of stable bentonite colloidal suspension using choline chloride based deep eutectic solvent: Optimization study by Dana I.M. Al-Risheq (16932606)

    Published 2021
    “…In this work, three ChCl based natural deep eutectic solvent NADES were synthesized by mixing choline chloride as the hydrogen bond acceptor (HBA) with lactic acid (LA), malic acid (MA), and citric acid (CA) as the hydrogen bond donors (HBD) with a molar ratio of 1:1. …”
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    Examining engineering students' perceptions of learner agency enactment in problem‐ and project‐based learning using Q methodology by Xiangyun Du (6061697)

    Published 2023
    “…<p></p><div> <h3> Background</h3> <p>Few studies have reported how students enact learner agency in a team setting or examined what elements of team settings students perceive as more supportive of their learning in problem- and project-based learning (PBL) processes.…”
  12. 212

    Improving Palestinian Healthcare Through Patient Participation in Balanced Scorecard Assessment: Policy Implications and Recommendations by Saad Abuzahra (18466482)

    Published 2024
    “…<h3>Background</h3><p dir="ltr">Balanced Scorecard (BSC) is a comprehensive performance evaluation (PE) tool used to assess and enhance the quality of healthcare institutions. …”
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    Embodied learning of science concepts through augmented reality technology by Nasser Mansour (17541822)

    Published 2024
    “…<p dir="ltr">Augmented Reality (AR) revolutionizes educational approaches by providing an immersive experience that superimposes virtual 3D elements onto the physical environment. This integration of virtual and real worlds addresses the challenge of understanding abstract concepts by enabling three-dimensional visualization and interaction. …”
  15. 215

    Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Yassine Himeur (14158821)

    Published 2021
    “…Following, insights about current research trends are discussed to widen the applications and effectiveness of the anomaly detection technology before deriving future directions attracting significant attention. This article serves as a comprehensive reference to understand the current technological progress in anomaly detection of energy consumption based on artificial intelligence.…”
  16. 216

    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

    Published 2022
    “…Then, we systematically summarize commonly available boundary issue solutions into three categories, namely algorithm-based solutions, sampling-strategy-based solutions and iteration-based solutions. …”
  17. 217

    Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

    Published 2025
    “…We employed a publicly available multimodal dataset encompassing three data categories: physiological, vehicle dynamics, and vision-based data. …”
  18. 218

    Flexible piezoelectric nanogenerator based on [P(VDF-HFP)]/ PANI-ZnS electrospun nanofibers for electrical energy harvesting by Hemalatha Parangusan (6556133)

    Published 2022
    “…Among all the samples, [P(VDF-HFP)]/2 wt% PANI-ZnS composite nanofibers exhibited the high piezoelectric peak-to-peak output voltage of 3 V compared with the neat [P(VDF-HFP)] (~ 120 mV). …”
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    Improving Active Resonance Damping and Unbalanced Voltage Mitigation Based on Combined DDSRF and Washout Filter in Islanded Microgrids by Ehsan Akbari (10803914)

    Published 2024
    “…Both voltage imbalance and active resonance significantly degrade power quality. This paper proposes a multi-level hierarchical control system to mitigate both phenomena. …”