Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks by Ahmed , Abdelrahman

“…We explore several designs for the classifier based on convolutional neural networks (CNNs), long-short-term memory networks (LSTMs), and an attention layer. The corpus consists of seven hours collected and annotated from three different call centers. …”
Get full text
Get full text

Efficient self-attention with smart pruning for sustainable large language models by Samir Brahim Belhaouari (9427347)

“…Second, the Weight Matrix Folding method is introduced to efficiently prune the self-attention layer matrices in a simple and efficient mathematical model. …”

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…This approach integrates two distinct CNNs, followed by a multi-layer perceptron (MLP) and a multi-head attention (MHA) mechanism, to enhance performance. …”

Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis by Najmath, Ottakath

“…This paper proposes an automated segmentation method for the carotid artery in transverse B-mode ultrasound images, using a Bi-attention DoubleUnet architecture which incorporates spatial attention and channel wise attention using Bottleneck attention module. …”
Get full text
Get full text
Get full text

Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis by Najmath Ottakath (17430912)

“…This paper proposes an automated segmentation method for the carotid artery in transverse B-mode ultrasound images, using a Bi-attention DoubleUnet architecture which incorporates spatial attention and channel wise attention using Bottleneck attention module. …”

FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

“…By introducing convolutional layers alongside multi-head attention mechanisms, the FLACON framework significantly improves learning efficiency across geographically distributed datasets. …”

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. …”
Get full text

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. …”
Get full text
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text
Get full text
Get full text

QuicTor: Enhancing Tor for Real-Time Communication Using QUIC Transport Protocol by Lamiaa Basyoni (16896426)

“…QuicTor achieved significant performance improvements for interactive applications as well as streaming applications. …”

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. …”
Get full text
Get full text
Get full text
Get full text

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.

Get full text

Use of Ultrasound and Ionic Liquids to Enhance the Extractive Desulfurization of Oils by Zuraiqi, Karma

Get full text

Qatar’s immigrants at higher risk of diabetes by Nature Research (16552612)

“…The researchers stress, however, that their preliminary results should be confirmed in future studies involving larger numbers of participants. 1 “We would advise the Qatari government to screen all immigrants entering the country, as this would decrease the risk of unnecessary complications due to the late diagnosis of diabetes,” says lead author Dennis Mook-Nakamori. …”

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

“…<p dir="ltr">The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in smart cities, offering valuable support to situation-awareness IoT applications, such as surveillance, traffic management, and emergency response. …”