AIMC Topic: Edible Seaweeds
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Optimizing Cu adsorption prediction in Undaria pinnatifida using machine learning and isotherm models.
Journal of hazardous materials
Apr 7, 2025
Algae are cost-effective bioadsorbents for heavy metal remediation, yet their potential is underutilized due to limitations in traditional adsorption models. This study integrates machine learning (ML) techniques with traditional models to predict th...
A refined deep-learning-based algorithm for harmful-algal-bloom remote-sensing recognition using Noctiluca scintillans algal bloom as an example.
Journal of hazardous materials
Feb 5, 2024
Harmful algal blooms (HABs) are challenging to recognize because of their striped and uneven biomass distributions. To address this issue, a refined deep-learning algorithm termed HAB-Ne was developed for the recognition of HABs in GF-1 Wide Field of...
Prospective Antiviral Effect of Aqueous Extract against COVID-19 Infection.
Marine drugs
Dec 30, 2023
Marine algal extracts exhibit a potent inhibitory effect against several enveloped and non-enveloped viruses. The infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has several adverse effects, including an increased mortality ...
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