Machine learning for the study of plankton and marine snow from images
Quantitative imaging instruments produce a large number of images of plankton and marine
snow, acquired in a controlled manner, from which the visual characteristics of individual …
snow, acquired in a controlled manner, from which the visual characteristics of individual …
Machine learning in marine ecology: an overview of techniques and applications
Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …
patterns in data. Thanks to the increase in the amount of data and computing power …
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Recently, the whole world became infected by the newly discovered coronavirus (COVID-
19). SARS-CoV-2, or widely known as COVID-19, has proved to be a hazardous virus …
19). SARS-CoV-2, or widely known as COVID-19, has proved to be a hazardous virus …
Transfer learning based histopathologic image classification for breast cancer detection
Breast cancer is one of the leading cancer type among women in worldwide. Many breast
cancer patients die every year due to the late diagnosis and treatment. Thus, in recent years …
cancer patients die every year due to the late diagnosis and treatment. Thus, in recent years …
Transfer learning-assisted multi-resolution breast cancer histopathological images classification
Breast cancer is one of the leading death cause among women nowadays. Several methods
have been proposed for the detection of breast cancer. Various machine learning-based …
have been proposed for the detection of breast cancer. Various machine learning-based …
CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning
Abstract Starting from Wuhan in China at the end of 2019, coronavirus disease (COVID-19)
has propagated fast all over the world, affecting the lives of billions of people and increasing …
has propagated fast all over the world, affecting the lives of billions of people and increasing …
[PDF][PDF] Machine intelligence and the data-driven future of marine science
K Malde, NO Handegard, L Eikvil… - ICES Journal of Marine …, 2020 - academic.oup.com
Oceans constitute over 70% of the earth's surface, and the marine environment and
ecosystems are central to many global challenges. Not only are the oceans an important …
ecosystems are central to many global challenges. Not only are the oceans an important …
The Scripps Plankton Camera system: A framework and platform for in situ microscopy
EC Orenstein, D Ratelle… - Limnology and …, 2020 - Wiley Online Library
The large data sets provided by in situ optical microscopes are allowing us to answer
longstanding questions about the dynamics of planktonic ecosystems. To deal with the influx …
longstanding questions about the dynamics of planktonic ecosystems. To deal with the influx …
Improving plankton image classification using context metadata
Advances in both hardware and software are enabling rapid proliferation of in situ plankton
imaging methods, requiring more effective machine learning approaches to image …
imaging methods, requiring more effective machine learning approaches to image …
[HTML][HTML] Development of a yoga posture coaching system using an interactive display based on transfer learning
Yoga is a form of exercise that is beneficial for health, focusing on physical, mental, and
spiritual connections. However, practicing yoga and adopting incorrect postures can cause …
spiritual connections. However, practicing yoga and adopting incorrect postures can cause …