Machine learning applications of convolutional neural networks and unet architecture to predict and classify demosponge behavior
Biological data sets are increasingly becoming information-dense, making it effective to use
a computer science-based analysis. We used convolution neural networks (CNN) and the …
a computer science-based analysis. We used convolution neural networks (CNN) and the …
[PDF][PDF] Open Citizen Science: fostering open knowledge with participation
Citizen Science or community science has been around for a long time. The scope of
community involvement in Citizen Science initiatives ranges from short-term data collection …
community involvement in Citizen Science initiatives ranges from short-term data collection …
Automatic monitoring of relevant behaviors for crustacean production in aquaculture: a review
D Li, C Liu, Z Song, G Wang - Animals, 2021 - mdpi.com
Simple Summary Automatic behavior monitoring, also called automated analytics or
automated reporting, is the ability of an analytics platform to auto-detect relevant insights …
automated reporting, is the ability of an analytics platform to auto-detect relevant insights …
Teacher Attitudes towards Research-Based Classroom Exercises and Intensive Virtual Summer Professional Development
M Nestorovic, GJ Gage - bioRxiv, 2022 - biorxiv.org
A study based on a survey questionnaire was conducted with 55 teachers across multiple
high schools in the United States to understand their perceptions about their attitudes and …
high schools in the United States to understand their perceptions about their attitudes and …
[HTML][HTML] Innovation in Neuroscience Education for Diverse Student Populations
RL Ramos - Journal of Undergraduate Neuroscience Education, 2019 - ncbi.nlm.nih.gov
Since the publication of its first issue in 2002, JUNE has been the most trusted source of
scholarship and innovation in neuroscience education including pedagogy, curriculum …
scholarship and innovation in neuroscience education including pedagogy, curriculum …