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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
Microtubule Detection and Instance Segmentation using Deep Convolutional Neural Networks
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
Short-term Earthquake Prediction with Deep Neural Networks: Finding the optimal time prior to earthquake strikes to use in predictions
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
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