A machine learning-enhanced biosensor for mercury detection based on an hydrophobin chimera
Anna Pennacchio(Federico II University Hospital), Paola Giardina(University of Naples Federico II), Francesco Piccialli(University of Naples Federico II), Fabio Giampaolo(University of Naples Federico II), Salvatore Cuomo(Federico II University Hospital), Angela Amoresano(Istituto Nazionale Biostrutture e Biosistemi), Alessandra Piscitelli(Federico II University Hospital), Michele Spinelli(Istituto Nazionale Biostrutture e Biosistemi), Eugenio Notomista(University of Naples Federico II)
Cited by 50
Related Papers
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
|Journal of Scientific Computing|2022|2.2k
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where
|IEEE Transactions on Industrial Informatics|2022|776
Oxidoreductases on their way to industrial biotransformations
|Biotechnology Advances|2017|280