Personality traits as predictors of vulnerability to persuasion in social engineering amongst risk-aware targets by Aya Muhanad (22827410)

“…These measures often leverage individual differences to create tailored solutions, such as custom cybersecurity training programs. This study examines persuasion in social engineering (SE) attacks, one of the most prevalent forms of cyberattacks today, and their connection to human factors, using a vignette-based approach. …”

Machine learning-based prediction of one-year mortality in ischemic stroke patients by Ahmad Abujaber (9100064)

Dynamic model scaling based on segmented tumor size for breast cancer detection by Younes Akbari (16303286)

“…The segmentation model, trained on a specialized dataset of breast cancer regions, identifies tumor regions in testing images from breast cancer detection datasets. …”

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…By using a comprehensive dataset with multiple attack types, a well-trained model can be created to improve the anomaly detection performance. …”

Effect of a simulation-based workshop on breaking bad news for anesthesiology residents by Youssef, Nazih

“…Performance was not related to years of training, or previous BBN experience. Conclusion Anesthesiology residents’ communication skills when BBN in relation to a critical incident may be improved with educational interventions based on immersive experiences with a high fidelity simulator and role-play with SPs.…”
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Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

“…The proposed system tackles the challenge of predicting air quality at locations having no sensors or experiencing sensor failures by training a joint model on the data obtained from nearby stations/sensors using a Particle Swarm Optimization (PSO)-based merit fusion of the sensor data. …”

Investigation of the Effect of Exendin-4 on Oleic Acid-Induced Steatosis in HepG2 Cells Using Fourier Transform Infrared Spectroscopy by Olfa Khalifa (10914452)

“…Analysis of the Oil Red O staining showed that Ex-4 significantly reduces steatosis. This reduction was confirmed by FTIR analysis, as the phospholipid band (C=O) at 1740 cm−1 in Ex-4 treated cells is significantly decreased compared to steatotic cells. …”

Key determinants of SMEs’ export performance: a resource-based view and contingency theory approach using potential mediators by Arsalan Safari (10300058)

“…</p><h3>Design/methodology/approach</h3><p dir="ltr">This study draws on contingency theory and takes a resource-based and market-based view to provide a holistic understanding of the issue. …”

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

“…These results outperform the individual modalities with a significant margin (~5%). We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …”

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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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. …”

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 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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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. …”

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. …”