Deep Learning-based Segmentation of Cracks within a Photogrammetry Solution: Fully-Supervised Learning, Transfer Learning and Photogrammetric Image Processing

Physics-informed machine learning for nowcasting extreme rainfall

Feasibility study on the integration of a deep learning dose computation algorithm in an automated proton therapy treatment planning system

Extreme Precipitation Nowcasting using Transformer-based Generative models

Optimizing the pump schedule of water distribution systems using a deep learning meta-model: To what extent can algorithm unrolling optimize the pump schedule of an urban water distribution system?

Reducing Manual Labour in Forensic Microtrace Recognition with Deep Learning

Automated Carnegie Staging of the Human Embryo in 3D Ultrasound using Deep Learning

Towards a fully distributed multivariable hydrological deep learning model with graph neural networks

Overcoming Network Saturation in Continual Learning: A Method for Dynamic Parameter Adjustment

An Experimental Assessment of the Stability of Graph Contrastive Learning

Compressing YOLOv7

Deep Learning Enhanced Contrast Source Inversion And Phase Error Based Conductivity Correction For Electrical Properties Tomography: Exploration Of Physics-Assisted Deep Learning Methodology For Magnetic Resonance Based Electrical Properties Tomography

Neural Session Recommendation

GGANet: Algorithm Unrolling for Water Distribution Networks Metamodelling

Needle Detection and Localization in Ultrasound Images based on Deep Learning

Semantically-Guided 3D Building Facade Reconstruction: A Learning-Based MVS Approach

Scale Learning in Scale-Equivariant Convolutional networks

LightLetter: Contactless Letter Recognition using Ambient Light

Grasp recognition with spatiotemporal deep learning and proximity sensors in transradial prostheses

Meta-learning for few-shot on-chip sequence classification