IEEE

Comparison of Conventional Machine Learning and Convolutional Deep Learning Models for Seagrass Mapping Using Satellite Imagery

Benthic communities, such as seagrass meadows, play a crucial environmental role in marine ecosystems and provide socio-economic benefits. Satellite remote sensing is currently used for its monitoring ...
Nature

PickAMoo: LIDAR-enhanced mask R-CNN segmentation for precision weight estimation in dairy cattle using smartphone imaging

Accurate information on body weight is important for dairy-cattle management, including feeding, health monitoring, treatment decisions, and breeding-related assessment. However, routine weighing of ...
GitHub

Usiigaci: Instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning

Usiigaci, ウシーガチ, ushi:gachi in Hepburn romanization, in Ryukyuan language means "tracing", "透き写し" in Japanese，i.e. drawing the outline of objects based on a template. The process is essentially what ...
IEEE

Enhancing Crop Yield Prediction using Machine Learning Techniques

Abstract: The advanced machine learning technique is important in enhancing the accuracy of crop yield forecasting, which is crucial for advancing agricultural productivity and ensuring global food ...
Nature

A multi-class framework for face mask compliance detection using lightweight deep learning models

The use of face mask compliance regarding compliance monitoring is important in health sensitive and surveillance driven environments. This paper has introduced a multi-class face mask compliance ...