42 citations · 46 across the 6 of their papers we have counts for
11 papers
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images
Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie +1
Precisely localising solar Active Regions (AR) from multi-spectral images is a challenging but important task in understanding solar activity and its influence on space weather. A…
Panoptic Segmentation of Galactic Structures in LSB Images
Felix Richards, Adeline Paiement, Xianghua Xie +2
We explore the use of deep learning to localise galactic structures in low surface brightness (LSB) images. LSB imaging reveals many interesting structures, though these are freque…
Steel Surface Roughness Parameter Calculations Using Lasers and Machine Learning Models
Alex Milne, Xianghua Xie
Control of surface texture in strip steel is essential to meet customer requirements during galvanizing and temper rolling processes. Traditional methods rely on post-production st…
Gradient Leakage Defense with Key-Lock Module for Federated Learning
Hanchi Ren, Jingjing Deng, Xianghua Xie
Federated Learning (FL) is a widely adopted privacy-preserving machine learning approach where private data remains local, enabling secure computations and the exchange of local mo…
Predicting Surface Texture in Steel Manufacturing at Speed
Alexander J. M. Milne, Xianghua Xie
Control of the surface texture of steel strip during the galvanizing and temper rolling processes is essential to satisfy customer requirements and is conventionally measured post-…
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
Hanchi Ren, Jingjing Deng, Xianghua Xie
Data privacy has become an increasingly important issue in Machine Learning (ML), where many approaches have been developed to tackle this challenge, e.g. cryptography (Homomorphic…