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