Ensemble Machine Learning of Gradient Boosting (XGBoost, LightGBM, CatBoost) and Attention-Based CNN-LSTM for Harmful Algal Blooms Forecasting. [PDF]
Ahn JM, Kim J, Kim K.
europepmc +1 more source
Metagenomes from cyanobacterial harmful algal blooms from lakes in Ohio (USA). [PDF]
Lefler FW +8 more
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Body condition of larval roundherring, Gilchristella aestuaria (family Clupeidae), in relation to harmful algal blooms in a warm-temperate estuary. [PDF]
Smit T +5 more
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A Protein-Centric Mass Spectrometry Approach for Species Identification within Harmful Algal Blooms. [PDF]
Sound JK +4 more
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Interannual and Decadal Changes in Harmful Algal Blooms in the Coastal Waters of Fujian, China. [PDF]
Zhang C.
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Stable isotopes reveal an imprint of harmful algal blooms on Lake Erie. [PDF]
Benesh KC +11 more
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Slicing the Pie: Interpreting harmful algal blooms one pie chart at a time. [PDF]
Richlen ML +3 more
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Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome. [PDF]
Mudge MC +8 more
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Draft Genome Sequences of Bacteria with Cyanocidal Potential Isolated from Eutrophic Waters Associated with Cyanobacterial Harmful Algal Blooms. [PDF]
Lefler FW +6 more
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Estimating Operational Costs of Activated Carbon for Water Treatment Plants by Predicting the Rise of Harmful Algal Blooms Under Climate Change in Korea Using Machine Learning. [PDF]
Kim J +7 more
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