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

“…Therefore, we propose a Dual-Attention Network (DANet) aims to learn robust video representation for view-invariant action recognition. …”

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

“…To address these limitations, we propose the Convolutional Variational Attention Transformer (ConVAT), a novel model that leverages a multi-head attention mechanism integrated with convolutional networks, optimized specifically for detailed micro-expression analysis. …”

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. …”
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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

“…</p><h3>Methods</h3><p dir="ltr">The architecture of PredictPTB employs recurrent neural networks (RNNs) to model the longitudinal patient’s EHR visits and exploits a single code-level attention mechanism to improve the predictive performance, while providing temporal code-level and visit-level explanations for the prediction results. …”

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

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

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

“…To address these challenges, an end-to-end concatenated Convolutional Neural Network (CNN) attention model has been proposed for automatic lung cancer classification. …”

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

MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN by Maria Siddiqua (17949149)

“…The MACGAN is a lightweight network with four encoder and decoder blocks and multiple attention blocks in between, which enhances the image restoration process by focusing on the most important features. …”

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

“…This study introduces a hybrid deep learning model that combines 3D Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) networks, incorporating residual connections and a soft spatial attention mechanism to overcome these limitations. …”

Awareness and education are the most significant elements for safe driving behavior and better life quality by Amal Abdul Aziz Sabri (19772844)

Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

“…This significant shift enhances the model's ability to capture long-range dependencies within time series data. …”

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

“…This paper proposes a novel deep learning-based approach to predict 3D GRF&M from only 5 markers placed on the shoe. The proposed network “Attention Guided MultiResUNet” can predict the force and moment signals accurately and reliably compared to the techniques relying on full-body markers. …”

Disruption-Tolerant Networking by Khabbaz, Maurice J.

“…Over time, unicast routing, one of the architectural key components common to all ICNs, became an almost independent field of research in which significant efforts continue to be invested. In contrast, network architectural designs, scheduling and forwarding issues dating from the early days of Inter-Planetary Networks (IPNs) have received relatively little attention and accumulate numerous pending challenges. …”
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Deep Learning in LncRNAome: Contribution, Challenges, and Perspectives by Tanvir Alam (638619)

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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SWIPT-Enabled Relaying Networks for Next-Generation Wireless Systems: A Review of Achievable Rates and Future Challenges by Zaino, Rami

“…Among its various applications, relaying networks represent a key area in which SWIPT can make a significant impact. …”
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A Probabilistic and Traffic-Aware Bundle Release Scheme for Vehicular Intermittently Connected Networks by Fawaz, Wissam F.

“…In this context, the design of effective delay-minimal data relaying strategies is receiving significant attention. However, many existing such schemes either do not adequately model vehicular traffic behaviours or adapt typical Internet packet-like forwarding protocols to VICNs. …”
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Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast by Kamran Zahoor (16896354)

“…The Enhanced Multimedia Broadcast Multimedia Service (eMBMS) is the standard multicast protocol for 5G networks. Cellular multicast has gained considerable attention to efficiently utilize the limited spectrum to transmit multimedia content to cellular sites with co-located viewers, lowering the cost, and maximizing the Quality of Experience (QoE). …”

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore (17727684)

“…<p dir="ltr">Underwater wireless sensor network attracted massive attention from researchers. …”