Understanding the ecological environment, population abundance, and growth status of
marine organisms in the marine fishery is important to promote its sustainability. However …

Deep learning algorithms have been applied to digital image colorimetry (DIC) to improve
color measurement and analysis, enabling the identification and quantification of analytes …

Elastography is a promising diagnostic tool that measures the hardness of tissues, and it has
been used in clinics for detecting lesion progress, such as benign and malignant tumors …

Classroom learning behavior recognition can provide effective technical support for teaching
and learning. However, in natural classroom teaching scenarios, classroom learning …

The aquaculture of marine ranching is of great significance for scientific aquaculture and the
practice of statistically grasping existing information on the types of living marine resources …

To solve the problems of localization and identification of fish in the complex fishway
environment, improving the accuracy of fish detection, this paper proposes an object …

Abstract The Amphidromous Ayu (Plecoglossus altivelis), vital for Japan's riverine
commercial fisheries, is experiencing population decline due to habitat degradation. In …

Fish stock assessment is crucial for sustainable marine fisheries management in rangeland
ecosystems. To address the challenges posed by overfishing of offshore fish species and to …

The identification and counting of fish are relevant tools used for stocking, harvesting, and
marketing management of farmed fish. The use of convolutional networks has been used for …