Karl D. Dearn

According to our database, Karl D. Dearn authored at least 4 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

LungDetectNet: a multi-task deep learning framework with enhanced detection and descriptive capabilities.

Chenyang Wang, Qiufeng Yi, Jiaqi Ye, Xiazhen Xu, Femma Ashraf, Shazad Ashraf, Karl D. Dearn, Amir M. Hajiyavand

Biomed. Signal Process. Control., 2026

2023

On the Early and Affordable Diagnosis of Joint Pathologies Using Acoustic Emissions, Deep Learning Decompositions and Prediction Machines.

Ejay Nsugbe, Khadijat A. Olorunlambe, Karl D. Dearn

Sensors, 2023

2021

Towards a Diagnostic Tool for Diagnosing Joint Pathologies: Supervised Learning of Acoustic Emission Signals.

Khadijat A. Olorunlambe, Zhe Hua, Duncan E. T. Shepherd, Karl D. Dearn

Sensors, 2021

2018

Wear debris from total joint replacements: evaluation of automated categorisation by scale-invariant feature transforms.

David G. Eckold, Karl D. Dearn, Duncan E. T. Shepherd

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018