Artificial intelligence in heavy metals detection: Methodological and ethical challenges

Artificial intelligence in heavy metals detection: Methodological and ethical challenges

Heavy metals (HMs) are metallic substances. They enter biotic and abiotic systems through natural and human activities. These HMs have an impact on the atmosphere, soil, and groundwater, and they also affect all living things, especially humans, when they enter the food chain. Therefore, monitoring...

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Hlavní autoři: Nidhi Yadav, Brij Mohan Maurya, Dewan Chettri, Pooja, Chirag Pulwani, Mahesh Jajula, Savleen Singh kanda, Harysh Winster Suresh babu, Ajay Elangovan, Parthasarathy Velusamy, Mahalaxmi Iyer, Balachandar Vellingiri
Médium: Článek
Jazyk:English
Vydáno: Elsevier 2023-09-01
Edice:Hygiene and Environmental Health Advances
Témata:
Heavy metals (HMS)
Environment
Human health
Artificial intelligence (AI)
On-line přístup:http://www.sciencedirect.com/science/article/pii/S2773049223000272

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http://www.sciencedirect.com/science/article/pii/S2773049223000272

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