18 citations · 43 across the 5 of their papers we have counts for
7 papers
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification
Kailong Liu, Xiaosong Hu, Huiyu Zhou +3
Lithium-ion battery manufacturing is a highly complicated process with strongly coupled feature interdependencies, a feasible solution that can analyse feature variables within man…
Towards advancing the earthquake forecasting by machine learning of satellite data
Pan Xiong, Lei Tong, Kun Zhang +7
Amongst the available technologies for earthquake research, remote sensing has been commonly used due to its unique features such as fast imaging and wide image-acquisition range.…
Structured Context Enhancement Network for Mouse Pose Estimation
Feixiang Zhou, Zheheng Jiang, Zhihua Liu +8
Automated analysis of mouse behaviours is crucial for many applications in neuroscience. However, quantifying mouse behaviours from videos or images remains a challenging problem,…
Perceptual underwater image enhancement with deep learning and physical priors
Long Chen, Zheheng Jiang, Lei Tong +5
Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater n…
CANet: Context Aware Network for 3D Brain Glioma Segmentation
Zhihua Liu, Lei Tong, Long Chen +7
Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning. Based on deep neural networks, previous studies have…
A Benchmark dataset for both underwater image enhancement and underwater object detection
Long Chen, Lei Tong, Feixiang Zhou +5
Underwater image enhancement is such an important vision task due to its significance in marine engineering and aquatic robot. It is usually work as a pre-processing step to improv…