Publications by authors named "Hirofumi Washiyama"
Article Synopsis
- Developing non-contact, non-destructive monitoring methods for marine life is key for sustainable resource management and is enhanced by new technologies and machine learning for underwater data collection.
- A new system combines high-frequency ultrasonic data acquisition and a 3D convolutional neural network (3D-CNN) to automatically analyze benthic resource distribution, specifically targeting asari clams in Lake Hamana, Japan.
- The system achieved high accuracy in estimating clam presence and counts, showcasing its potential for effective quantification of sub-seafloor marine resources.
