Thrilled to share our new article, “Advanced ocean modelling and machine learning to forecast Dinophysis acuminata blooms: A tool to support shellfish farming management”
@udc.gal
@citicresearch.bsky.social
@csic.es
INTECMAR

Read more: doi.org/10.1016/j.ec...
#MachineLearning #HarmfulAlgae

Proud to witness the PhD defence of Andres Molares today:
"Machine Learning in Harmful Algal Bloom Monitoring", developed at @citicresearch.bsky.social at @udc.gal .

Co-supervised with my colleague Daniel Rivero, a work that combines applied AI with environmental challenges.
Congrats, Dr. Molares!

Our work "Ensemble of convolution neural networks on heterogeneous signals for sleep stage scoring" is available.

If you're into #DeepLearning for healthcare or biomedical signal analysis, check it out!

🔗 doi.org/10.1007/s110...

Interesting publication about Julia 1.12

lwn.net/Articles/100...

📢 New publication!

Proud of our student Andrés Molares Ulloa, lead author of "Towards improved harmful algal bloom forecasts". With his third JCR paper, he is close to completing his PhD!

📄 doi.org/10.1016/j.co...
🔓 Free: authors.elsevier.com/c/1kf-3cFCSf...

#PhD #Research #AI #HarmfulAlgalBlooms

A recently accepted publication
Carreres-Prieto, et. al. Optimization of indirect wastewater characterization using led spectrophotometry: a comparative analysis of regression, scaling, and dimensionality reduction methods. Environ Sci Pollut Res 31, (2024). lnkd.in/ddVUgF9u
#FIC #RNASA-IMEDIR