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Where Machine Learning Fails in Predicting Emerging Contaminant Adsorption: A Decision-Oriented Framework for Model Credibility and Transferability Click to copy article link Article link copied!
Abstract Click to copy section linkSection link copied! Adsorption behavior of emerging contaminants (ECs) plays a central role in their environmental fate and the efficiency of artificial removal systems. Machine learning (ML) has been extensively leveraged for adsorption prediction.
A study on the application of using big data information technology to implement physics laboratory courses in universities
A study on the application of using big data information technology to implement physics laboratory courses in universities Autores: Guanqi Tao, Yinzhu Wang, Yina Fan Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 9, Nº.
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