A Literature Based Examination of Human Error in Military Aviation Maintenance Management Programs by AL ARIF, ISMAIL ABDULRAHMAN

“…The rationale behind this study was based on the rising human error that comes along with military aviation maintenances. …”
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W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

“…Evaluating our framework on several publicly available benchmark time series datasets from various domains and with diverse characteristics, we demonstrate that it performs, on average, significantly better than the baseline forecasters for short-term and long-term forecasting, even for datasets that consist of only a few hundred training samples.…”
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Reflective Teaching: Impact, Supports, and Barriers from UAE-Based ESL Teachers' Perspectives by Sinno, Cherine

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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul Kabir (15302407)

“…A total of 6641 extracted patches were generated out of which, 947 were labeled as 0, 327 as 1+, 1401 as 2+, 2950 as 3+, and 1016 were marked for discarding. Four pre-trained image classification models, namely DenseNet201, GoogleNet, MobileNet_v2, and a Vision Transformer based model, were fine-tuned, and tested on the generated patches. …”

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul, Kabir

“…A total of 6641 extracted patches were generated out of which, 947 were labeled as 0, 327 as 1+, 1401 as 2+, 2950 as 3+, and 1016 were marked for discarding. Four pre-trained image classification models, namely DenseNet201, GoogleNet, MobileNet_v2, and a Vision Transformer based model, were fine-tuned, and tested on the generated patches. …”
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Comparing metabolic profiles between female endurance athletes and non-athletes reveals differences in androgen and corticosteroid levels by Amneh H. Tarkhan (8552667)

“…<p dir="ltr">Endurance training is associated with physiological changes in elite athletes, but little is known about female-specific effects of endurance training. …”

Dietary Trichosporon mycotoxinivoron modulates ochratoxin-A induced altered performance, hepatic and renal antioxidant capacity and tissue injury in broiler chickens by Sheraz Ahmed Bhatti (9759633)

“…Dietary OTA at all the tested levels induced the hepatic and renal tissue injury as indicated by significant decreased total antioxidant capacity in these organs along with significant decreased (p ≤ 0.05) serum concentrations of total proteins and albumin. …”

Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar by Amith Khandakar (14151981)

“…Several multiple regression models and artificial neural network (ANN)-based prediction models were trained and tested to forecast the hourly power output of the PV system. …”

Effectiveness and specificity of a classroom-based group intervention in children and adolescents exposed to war in Lebanon by Dimassi, Hani

“…The purpose of this study was to examine the effectiveness and specificity of a classroom-based psychosocial intervention after war. All students (n=2500) of six villages in Southern Lebanon designated as most heavily exposed to war received a classroom-based intervention delivered by teachers, consisting of cognitive-behavioural and stress inoculation training strategies. …”
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Reasons behind the non-application of the activity based costing system in developing countries, case of Lebanon by ElGammal, Walid

“…The Activity Based Costing (ABC) system, despite its spread in the developed countries and the recognition of its importance in the developing countries, is not adopted in the service industry in Lebanon while costing output. …”
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The effect of type and combination of fertilizers on eukaryotic microbiome of date palm rhizosphere by Sara H. Al-Hadidi (17821196)

Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

“…We conducted a large battery of tests to evaluate MUSEC’s effectiveness and efficiency in both sentiment analysis and composition. It was trained on a specially constructed set of 120 MIDI pieces, including 70 sentiment-annotated pieces: the first significant dataset of sentiment-labeled MIDI music made available online as a benchmark for future research in this area. …”
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Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals by Farhana Ahmed Chowdhury (22564808)

“…While traditional cuff-based approaches are non-invasive, they have limitations in providing continuous blood pressure monitoring. …”

Allelopathic Effects of the Invasive Prosopis juliflora (Sw.) DC. on Native Plants: Perspectives toward Agrosystems by Shazia Bibi (16500318)

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization by Majdi Mansouri (16869885)

“…In addition, the proposed reduced PSO-NN (RPSO-NN) technique not only enhances the results in terms of accuracy but also provides a significant reduction in computation time and storage cost by reducing the size of the training dataset and removing irrelevant and redundant samples. …”

A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems by Faria Nawshin (21841598)

“…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. …”

Decision Making Based on Data Analysis Involving Different Stakeholders in Secondary Public and Private Schools of Dubai by AL-AZZAM, BAYAN AHMAD

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Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

“…Thus, the proposed DCDD_Net model can provide significant assistance to radiologists and medical experts. …”

Response of cauliflower (<i>Brassica oleracea</i> L.) to nitric oxide application under cadmium stress by Jing Ma (24574)

MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN by Maria Siddiqua (17949149)

“…The results confirm that both components play significant roles in the effectiveness of MACGAN, with the discriminator ensuring adversarial training and the attention blocks effectively capturing and enhancing important image features.…”