Micro-Expression Recognition using Convolutional Variational Attention Transformer (ConVAT) with Multihead Attention Mechanism حسب 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. …"

Dual-attention Network for View-invariant Action Recognition حسب Gedamu Alemu Kumie (19273711)

"…The DANet is composed of relation-aware spatiotemporal self-attention and spatiotemporal cross-attention modules. …"

The distribution of toxic sources in Louisiana حسب Djoundourian, Salpie Sarkis

"…The results reveal that income levels in communities that host toxic sources are consistently and significantly lower than the state averages. …"
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Efficient self-attention with smart pruning for sustainable large language models حسب Samir Brahim Belhaouari (9427347)

"…The compression approach is evaluated on three language modeling datasets and eight widely used classification datasets, comparing it to various pruning methods. …"

Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation حسب Ahmet Kasif (17787560)

"…The study has been conducted on two major symbolic music datasets, MAESTRO and Classical-Music MIDI, which feature musical content encoded on MIDI. …"

Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis حسب 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. …"
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Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis حسب 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. …"

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation حسب 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. …"

A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification حسب 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. …"

Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics حسب Md. Ahasan Atick Faisal (15302410)

"…The proposed deep learning model is tested on two publicly available datasets containing data from 66 healthy subjects to validate the approach. …"

Renewable Energy, Coal as a Baseload Power Source, and Greenhouse Gas Emissions: Evidence from U.S. State-Level Data حسب Squalli, Jay

"…After accounting for the role of coal as a baseload power source, an increase in the share of renewable energy is estimated to mitigate N2O emissions at the U.S. state level only if states individually decrease their share of coal use to levels below 41.47%. …"
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Traffic Transformer: Transformer-based framework for temporal traffic accident prediction حسب Mansoor G. Al-Thani (19237204)

"…Extensive comparative experiments conducted on a real-world dataset from Qatar demonstrate that our proposed Traffic Transformer model significantly outperforms existing mainstream time series forecasting models across all evaluation metrics and forecast horizons. …"

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

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

Assessing the Electricity Production Capacities of Emerging Markets for the Sustainable Investments حسب Tamer Aksoy (17947802)

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques حسب Abu Jaffor Morshedul Abedin (22803884)

"…The DenseSelfU-Net model leverages DenseNet121 as an encoder and a Self-ONN enhanced decoder within a U-Net based architecture to achieve robust feature extraction and precise full artery segmentation, achieving an IoU of 82.52% and a Dice score of 90.35% on the ARCADE Challenge dataset. For stenosis localization, Self-ONN is integrated into key components of the Multi-Scale <u>Attention Network</u> (MA-Net), which includes the Multi-Scale Fusion Attention Block (MFAB) and the Position-wise Attention Block (PAB), capturing complex vascular patterns through both local and global dependencies and resulting in the DenseSelfMA-Net model. …"

Assessment of the use of dolomite for the recovery of ammonia from field landfill leachate. (c2019) حسب Rayshouni, Hussein

"…However, using dolomite calcined at 950 °C with the same phosphate source showed a significant decrease in removal efficiency to 44%, while using dolomite calcined at 750 °C (under continuous CO2 injection) resulted in a removal efficiency of 37%. …"
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A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection حسب Younes Akbari (16303286)

"…Multiple fusion architectures (concatenation, attention, and averaging) were assessed, and we designed a novel co-attention mechanism that enables sophisticated cross-modal interaction through learned attention weights. …"

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection حسب Sulaiman Khan (12585349)

"…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. …"

Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals حسب Angy, Mallah

"…Oncology nurses, having a direct significant contact with these patients, could be the first information source concerning food safety and play a pivotal role in reducing these risks. …"
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …"