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. …”

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. …”

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. …”

Mutations in L-type amino acid transporter-2 support SLC7A8 as a novel gene involved in age-related hearing loss by Meritxell Espino Guarch (18810097)

“…Significant decreases in SLC7A8 transport activity was detected for patient’s variants (p.Val302Ile, p.Arg418His, p.Thr402Met and p.Val460Glu) further supporting a causative role for SLC7A8 in ARHL. …”

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. …”

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. …”

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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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.…”