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Machine Learning Aided Reliability Analysis for Spatially Varying Slopes in 2D and 3D
Diverse Explorations of Rainfall Nowcasting with TrajGRU: Mitigating Smoothness and Fading Out Challenges for Longer Lead Times
End-to-End Chess Recognition
Can fourier neural operators replicate the intrinsic predictability of spatiotemporal chaos?: for the Kuramoto-Sivashinsky system
Neural network partitioning for resource-limited environments
Football activity recognition: Improving and testing football activity recognition based on signal data using deep learning.
Identification of Neolithic Circular Enclosures through Aerial Imagery
Deep Vision-based Relative Localisation by Monocular Drones
Attention-based deep learning for DNA repair outcome prediction: Learning how the cell repairs DNA breaks using local sequence context
Deep learning methods for cardiomyocyte motion analysis
Extreme-value Neural Networks for Weather Forecasting
Development of an LSTM-based methodology for burst detection in water distribution systems
Multi-modal deep learning based 3D image registration for osseous anatomies
On the use of ResNet architec- tures for Side-Channel Analysis
Long-term traffic flow predictions in a transformer-based framework: Capturing temporal and external features, to obtain a traffic flow prediction for the next 24 hours
Gunshot Detection in Wildlife using Deep Learning
Automatic Segmentation of Low-Field MRI Brain Scans by Integrating Analytic and Deep Learning Techniques
Latent Shape Editing
Exploring the optimization process in neurally reparameterized topology optimization
Data efficient pick location learning from images for sequential tasks
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