Monitoring Microbial Quality of Source Waters Using Bayesian Belief Networks

Atefeh Aliashrafi; Nicolás M. Peleato

doi:10.1007/978-981-19-1061-6_25

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Monitoring Microbial Quality of Source Waters Using Bayesian Belief Networks

Atefeh Aliashrafi Nicolás M. Peleato

Year: 2022 Lecture notes in civil engineering Pages: 229-238 Publisher: Springer Nature

DOI: 10.1007/978-981-19-1061-6_25

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Keywords:

Cryptosporidium Water quality Computer science Bayesian network Machine learning Data mining Predictability Sampling (signal processing) Probabilistic logic Missing data Artificial intelligence Statistics Mathematics Ecology Biology Feces

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Fecal contamination and water quality

Physical Sciences → Environmental Science → Water Science and Technology

Parasitic Infections and Diagnostics

Life Sciences → Immunology and Microbiology → Parasitology

Monitoring Microbial Quality of Source Waters Using Bayesian Belief Networks

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