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Showing 1 - 20 results of 141 for search '(( significant ((nn decrease) OR (mean decrease)) ) OR ( significant application score ))', query time: 0.11s Refine Results
  1. 1

    Educational Test Scores: Interpretation and Use through an Argument-Based Framework by A.Mehdi Riazi (22590449)

    Published 2025
    “…However, the key question remains: "To what extent are the test scores valid for the purposes they are used?" The interpretation and use of test scores can significantly privilege some test-takers and disadvantage others if the tests are not valid, that is, not meant for or are not appropriate for the purpose they are used. …”
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    Validation of the emergency surgery score’s predictive accuracy for postoperative outcomes and ICU admissions in MENA vs. non-MENA emergency surgery patients by Mohamed Said Ghali (16810713)

    Published 2025
    “…ICU admission was recorded in 63.4% of cases, and the 30-day mortality rate was 13.91%. ESS scores did not differ significantly between MENA and non-MENA patients (median: 7.5 vs. 7; P = 0.45). …”
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    Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

    Published 2021
    “…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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    Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

    Published 2024
    “…An efficient smartphone application employing the proposed model for mulberry leaf disease recognition was developed. …”
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    Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

    Published 2025
    “…Receiver Operating Characteristic (ROC) analysis shows superior Area Under the Curve (AUC) for the offline classifier but at a significant computational cost. A second study on larger database of credit scoring confirms these findings, showing that the online classifier achieves an F1-score of 96.40% and an accuracy of 93.08%, closely matching the performance of neural networks (96.46%, 93.22%) and boosting (96.51%, 93.31%). …”
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    Novel interpretable and robust web-based AI platform for phishing email detection by Abdulla Al-Subaiey (19757007)

    Published 2024
    “…Utilizing a comprehensive and largest available public dataset, the model achieves a f1 score of 0.99 and is designed for deployment within relevant applications. …”
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    Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images by Abdullah Hosseini (22466602)

    Published 2025
    “…These findings underscore a significant advancement in the generation of synthetic medical images, providing a viable approach to creating realistic, biomarker-preserving datasets that ensure patient confidentiality and enable diverse applications in medical imaging.…”
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    Use of smartphone and perception towards the usefulness and practicality of its medical applications among healthcare workers in Saudi Arabia by Abolfotouh, Mostafa A.

    Published 2019
    “…After adjusting for possible confounders, the total perception mean score was a significant predictor of both smartphone use (β = 0.033, p < 0.001) and medical applications installation (β = 0.033, p < 0.001). …”
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    Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture by Hasibul Islam Peyal (17983828)

    Published 2023
    “…Also, the precision, recall, F1-score of the proposed model is 97 % and Area Under Curve (AUC) score of the model is 99.9% which is an indicator of the very good performance of the model. …”
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    The bus sightseeing problem by Qian Hu (205735)

    Published 2023
    “…Profitable routing applications arise in the tourism industry aiming to maximize the profit score of attractions visited within a limited time period. …”
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    Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

    Published 2025
    “…By incorporating Synthetic Minority Oversampling Technique Tomek (SMOTE-Tomek) techniques to balance the dataset and employing explainable AI methods such as Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP), the proposed model achieves significant improvements in detection accuracy, precision, recall, and F1 score while providing clear, interpretable results. …”
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    Hyper-Hypo study: A Retrospective Observational Study of Neonatal Hypoglycemia Related to Maternal Hypertension by Thiruveni Ramkumar (17075051)

    Published 2023
    “…On the other hand, neonates of hypertensive mothers administered with methyldopa showed a significant decrease of initial blood glucose reading.…”
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    Rescue cerclage by Khoury, Alfred

    Published 2006
    “…Advanced dilation of 3 cm and/or prolapsed membranes (n = 18) did not decrease the likelihood of reaching 28 weeks. Mean gestational age at delivery for this subset of patients was 30.7 ± 7.2 weeks. …”
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    Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals by Angy, Mallah

    Published 2023
    “…Knowledge scores were higher among nurses holding a graduate degree (mean = 85; p < 0.05), and those who attended a training course (mean = 79; p < 0.05). …”
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    Instructors’ and Students’ Perceptions of Clinical Evaluation Programmes of Nursing Colleges in Riyadh, Kingdom of Saudi Arabia by DAGAMSEH, MOHAMMAD SUHAIL

    Published 2024
    “…Despite these positive scores, both students and instructors noted significant challenges in the current evaluation processes. …”
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    A Deep Neural Network Chatbot for the Gulf Arabic Dialect: A Hybrid BiLSTM-Transformer Approach by ALAZZAM, BAYAN AHMAD

    Published 2023
    “…It provides a historical overview of chatbot evolution, generic workflow, and applications across various sectors. However, Chatbots are widely used, but there is a significant gap in systems specifically designed for the Gulf Emirati Arabic dialect, particularly in educational institutions and public sector universities, Existing systems are often trained on general corpora or other languages, highlighting a research gap in this area. …”
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