Combined experimental and computational investigations of the fluorosolvatochromism of chromeno[4,3-b]pyridine derivatives: Effect of the methoxy substitution by Mohanad Shkoor (3768385)

“…Furthermore, derivative II exhibited a fluorescence spectrum that is significantly influenced by the polarity of the medium. …”

A system dynamics approach to management of water resources in Qatar by Khawar Naeem (17984062)

“…This holistic study presents an innovative approach to address water sustainability at a national scale by developing a WRM decision support system (DSS) leveraging system dynamics modeling (SDM). Employing a unique scenario design framework developed in this study, the DSS simulates Qatar's water resource system behavior for 2021 to 2070 according to nine clustered policy scenarios presenting different degrees of sustainability designed accounting for changes in physical, environmental, and socioeconomic patterns. …”

Predictive factors for giftedness among Syrian refugee students: A focus on academic achievement, gender, and school context by Ali M. Alodat (22508036)

“…Middle school students were less likely to be identified compared to secondary students, while gender differences were not significant. Predictive modeling results should be interpreted with caution, as gifted identification was derived directly from the HOPE total score; models incorporating HOPE items closely mirrored the HOPE-based classification, whereas models using only demographic variables had limited discriminatory power. …”

Performance analysis of hydrogen fuel cell with two-stage turbo compressor for automotive applications by Nabeel Ahsan (17302705)

“…The model can be used to predict and optimize system performance for PEM FCS at different operating conditions.…”

Techno‐economic assessment of evacuated flat‐plate solar collector system for industrial process heat by Zohaib Hassan (13304268)

“…A maximum root mean square error of 2.81 for the absorber temperature and a percentage error of 6.62 was observed for the thermal efficiency in model validation. This substantiates the model's capability to predict actual system performance with reasonable accuracy. …”

Qualitative and Quantitative Investigation of Multiple Large Eddy Simulation Aspects for Pollutant Dispersion in Street Canyons Using OpenFOAM by Arsenios E. Chatzimichailidis (18891763)

“…Numerous studies reviewed the state-of-the-art models, proposed best-practice guidelines and explored, using various software, how different approaches (e.g., Reynolds-averaged Navier–Stokes (RANS), large eddy simulations (LES)) inter-compare. …”

miRNA-dependent regulation of STIM1 expression in breast cancer by Rashmi P. Kulkarni (18618634)

“…Here we investigate the role of the microRNA machinery in regulating STIM1 expression. …”

Experimental and DFT/TD-DFT computational investigations of the solvent effect on the spectral properties of nitro substituted pyridino[3,4-c]coumarins by Mohanad Shkoor (3768385)

Ensemble Deep Random Vector Functional Link Neural Network for Regression by Minghui Hu (2457952)

“…To address this problem, we propose a random skip connection-based edRVFL, which can keep the diversity in the latent space. esc-RVFL is an ensemble scheme that utilizes several edRVFL-RSC models trained on the different folds of the training dataset. …”

A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula by Ahmad Qadeib Alban (16855206)

“…<p dir="ltr">Accurate forecasting of environmental pollution indicators holds significant importance in diverse fields, including climate modeling, environmental monitoring, and public health. …”

Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge by Adnan Qayyum (16875936)

“…We evaluate the performance of the proposed framework under different experimental setups on two benchmark datasets. …”

Advanced Techniques for Predicting the Future Progression of Type 2 Diabetes by Md. Shafiqul Islam (8988548)

“…If it goes unchecked for an extended period, it can lead to the damage of different body organs and develop life-threatening health complications. …”

Reinforcement Learning Based EV Charging Management Systems–A Review by Heba M. Abdullah (16896384)

“…More recently, there has been an increasing interest in data-driven approaches in EV charging modeling. Consequently, researchers are looking to deploy model-free approaches for solving the EV charging management with uncertainties. …”

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

Drying kinetics and thermo-environmental analysis of a PV-operated tracking indirect solar dryer for tomato slices by Abdallah Elshawadfy Elwakeel (19852263)

“…The obtained results showed that the drying time (DT) isn’t significantly change with increasing air speeds from 1 to 2 m/s, this may be due to many reasons such as short DT, high temperature inside drying room, and little difference between the exanimated air speeds. …”

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. …”

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

“…The paper uses naive Bayes, Support Vector Machine (SVM), and Random Forest (RF) as classifiers after careful investigation. Three different publicly available datasets have been used based on the age group to create the best predicting model for each case. …”

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

“…Four convolutional layers with different output channels (512, 128, 64, and 32) were added to baseline models. …”

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

“…This app uses key stroke-related timelines including the last time the patient was known to be well, patient location, treatment options, and imaging availability at different health care facilities.</p><h3>Methods</h3><p dir="ltr">Using historical data (2008-2020), an accurate prediction model using machine learning methods was developed and incorporated into a mobile app. …”