Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
The human liver exhibits variable characteristics and anatomical information, which is often
ambiguous in radiological images. Machine learning can be of great assistance in …
ambiguous in radiological images. Machine learning can be of great assistance in …
[HTML][HTML] A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns
Classroom EEG recordings classification has the capacity to significantly enhance
comprehension and learning by revealing complex neural patterns linked to various …
comprehension and learning by revealing complex neural patterns linked to various …
GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults
Electrical and mechanical equipment with rotating parts often face the challenge of early
breakdown due to defects in the gears or rolling bearings. Automated industrial systems can …
breakdown due to defects in the gears or rolling bearings. Automated industrial systems can …
Signal Feature Extraction of Music Melody Based on Deep Learning
J Jiang - Traitement du Signal, 2022 - search.proquest.com
In music composition, besides intended original orchestration, the main melody generally
has a higher reproduction frequency. To better understand the content and idea of music …
has a higher reproduction frequency. To better understand the content and idea of music …
EEG Signal Classifiaction with Optimized LSTM: A Meta-Heuristic Approach
Y Shang, S Long - … on Advances in Electrical Engineering and …, 2022 - ieeexplore.ieee.org
How to exploit the potential relationships between EEG signal dimensions is one of the
major focus in brain-computer interface (BCI) research. This study proposes a unique …
major focus in brain-computer interface (BCI) research. This study proposes a unique …