Deep learning artificial neural network framework to optimize the adsorption capacity of 3-nitrophenol using carbonaceous material obtained from biomass waste.
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ABSTRACT:
SUBMITTER: Tariq R
PROVIDER: S-EPMC11364776 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature
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Deep learning artificial neural network framework to optimize the adsorption capacity of 3-nitrophenol using carbonaceous material obtained from biomass waste.
Tariq Rasikh R Abatal Mohamed M Vargas Joel J Vázquez-Sánchez Alma Yolanda AY
Scientific reports 20240830 1
The presence of toxic chemicals in water, including heavy metals like mercury and lead, organic pollutants such as pesticides, and industrial chemicals from runoff and discharges, poses critical public health and environmental risks leading to severe health issues and ecosystem damage; education plays a crucial role in mitigating these effects by enhancing awareness, promoting sustainable practices, and integrating environmental science into curricula to empower individuals to address and advoca ...[more]
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