Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by ALATTAR, FUAD ABDELWAHAB ABDELQADER

“…The Filtered-LDA Model is tested first on a Ground Truth dataset to validate that it outperforms baseline models, then it is finally applied on the large Twitter dataset to automatically conclude main reasons for sentiment variations…”
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Micro-Expression Recognition using Convolutional Variational Attention Transformer (ConVAT) with Multihead Attention Mechanism by Hafiz Khizer bin Talib (20571467)

“…<p dir="ltr">Micro-Expression Recognition is crucial in various fields such as behavioral analysis, security, and psychological studies, offering valuable insights into subtle and often concealed emotional states. Despite significant advancements in deep learning models, challenges persist in accurately handling the nuanced and fleeting nature of micro-expressions, particularly when applied across diverse datasets with varied expressions. …”

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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Arabia Felix 2.0 by Shehhi, Aamna Al

“…These differences included significant variations in the mean number of tweets posted, and the mean size of users networks (e.g. the number of followers). …”
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Network Analysis and its Applications in Financial and Digital Assets by Almazloum, Ward

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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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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 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. …”

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. …”

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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Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

“…The experimental results demonstrate that non-stationary kernels significantly outperformed baseline methods for NDCG@10 and Hit@10 metrics in both datasets. …”

Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review by Fatimaelzahraa Ali Ahmed (22224640)

“…However, implementing DL in surgical tool detection and segmentation faces challenges, such as the need for large, accurately annotated datasets to train these models effectively. The manual annotation process is labor-intensive and time-consuming, posing a significant bottleneck. …”

Randomized Deep Hopfield Network with Multiple Output Layers for Volatility Time Series Forecasting by Aryan Bhambu (18767731)

“…However, the inherent complexity and irregular variations in volatility time series data present significant challenges for accurate modeling. …”

LSCS-Net: A lightweight skin cancer segmentation network with densely connected multi-rate atrous convolution by Sadia Din (18136919)

“…The generalization capabilities of LSCS-Net are testified by the excellent performance on breast cancer and thyroid nodule segmentation datasets. The empirical findings confirm that LSCS-net attains state-of-the-art results, as demonstrated by a significantly elevated Jaccard index.…”

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.…”

Influenza prevalence and vaccine efficacy among diabetic patients in Qatar by Swapna, Thomas

“…Among the typed IVA-positive cases, 33.4% were H1N1, and 7.7% were H3N2. A significant decrease in influenza infections was reported in vaccinated DM patients (14.5%) when compared to non-vaccinated patients (18.9%) (p-value = 0.006). …”
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Why do some countries produce more capital intensive output than others? by Toukan, Amjad

“…Based on my model I offer an explanation for the variation in physical capital intensity across countries where the model predictions show that a lower quality of governance in a country results in a decrease in the output of capital-intensive goods and an increase in the output of labor-intensive goods. …”
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Influenza prevalence and vaccine efficacy among diabetic patients in Qatar by Swapna Thomas (17337925)

“…Among the typed IVA-positive cases, 33.4% were H1N1, and 7.7% were H3N2. A significant decrease in influenza infections was reported in vaccinated DM patients (14.5%) when compared to non-vaccinated patients (18.9%) (p-value = 0.006). …”

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

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