Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability by Iffa Afsa C M (22304104)

“…We have developed and validated the approach using the public MIMIC IV dataset. …”

Micro-Expression Recognition using Convolutional Variational Attention Transformer (ConVAT) with Multihead Attention Mechanism by Hafiz Khizer bin Talib (20571467)

“…Our methodology employs the Leave-One-Subject-Out (LOSO) cross-validation technique across three widely used datasets: SAMM, CASME II, and SMIC. …”

Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Sumaira Hussain (19259669)

An Ensemble Deep Learning Approach for Accurate Urinary Sediment Detection Using YOLOv9e and KD-YOLOX-ViT by Mansura Naznine (21399893)

“…The model’s adaptability was further validated through rigorous external validation on a novel dataset, yielding in a mAP50 of 94.64%. …”

Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches by ALHAJERI, RASHED ABDULLA

“…Solar energy has the largest untapped reserve in energy and is one of the fastest emerging energy markets. …”
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Effect of consanguinity on birth weight for gestational age in a developing country by Wakim, Gerard

“…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection by Younes Akbari (16303286)

“…These fusion networks were evaluated using histopathology (BCSS), mammography, and ultrasound (BUSI) datasets. External validation using the ICIAR2018 BACH Challenge dataset as an alternative histopathology source demonstrated the generalizability of our approach, achieving promising accuracy despite differences in staining protocols and acquisition procedures across institutions. …”

β-2-himachalen-6-ol protects against skin cancer development in vitro and in vivo by Daaboul, Hamid E.

“…Also, there was a significant decrease in p-Erk and p-Akt protein levels. …”
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Renewable Energy, Coal as a Baseload Power Source, and Greenhouse Gas Emissions: Evidence from U.S. State-Level Data by Squalli, Jay

“…After controlling for other sources of emissions, U.S. states that produce a larger share of renewable energy are found to have lower GHG emissions. …”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

“…The RF model achieved up to 99% balanced accuracy on the adult dataset, with similarly strong performance on the children and adolescent datasets using five-fold cross-validation (CV). …”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

“…It was shown that for four out of five review datasets, the DSS's use achieved significant workload savings of at least 10%. …”

Shear Behavior of One-Way Reinforced Concrete Hollow Slabs Voided with PET Void Formers by Hasan, Haider H.

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Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases by Muhammad Ali Muzammil (17910611)

“…Genetic variations influence ECG readings, so racial diversity in datasets is significant. Furthermore, issues such as inadequate generalization, regulatory barriers, and interpretability concerns contribute to deployment difficulties. …”

A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification by Mohamed Sultan Mohamed Ali (17317003)

“…The model has been evaluated using benchmark datasets—Indian Pines (16 land cover classes) achieved remarkable overall accuracies of 99.66 % and 99.58 % on external validation in Salinas (16 agricultural) dataset, respectively, exceeding the performance of current leading methods. …”

Effects of habitat complexity on the abundance, species richness and size of darkling beetles (Tenebrionidae) in artificial vegetation by Bartholomew, Aaron

“…Increasing complexity appeared to lead to decreasing beetle widths. 9 beetle species were relatively rare in, or absent from, the higher complexity treatments, including 5 of the 6 largest species. 2 rare, small beetle species were only found in higher complexity treatments. …”
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Developing an Adaptive Neuro-Fuzzy Inference System for Performance Evaluation of Pavement Construction Projects by Okan Sirin (14603304)

“…The study confirms the significance of three primary CSFs (financial, bureaucratic, and governmental) and communication-related variables through a qualitative structural and behavioral validation process, specifically k-fold cross-validation. …”

A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

“…Furthermore, the robustness of the proposed method has been assessed by introducing noise into the validation dataset to simulate real-world operational perturbations such as process variation, aging, and voltage level variations. …”

Crowd behavior detection: leveraging video swin transformer for crowd size and violence level analysis by Marwa Qaraqe (10135172)

“…<p dir="ltr">In recent years, crowd behavior detection has posed significant challenges in the realm of public safety and security, even with the advancements in surveillance technologies. …”

Stemming cardiovascular diseases in Qatar by Nature Research (16552612)

“…“Both Qatari nationals and expatriates should adopt healthier lifestyles to reduce the prevalence of these risk factors,” says Christos. Diabetes was the largest preventable risk factor to decrease heart attacks and strokes.…”