[HTML][HTML] Artificial intelligence-driven analysis of antimicrobial-resistant and biofilm-forming pathogens on biotic and abiotic surfaces
The growing threat of antimicrobial-resistant (AMR) pathogens to human health worldwide
emphasizes the need for more effective infection control strategies. Bacterial and fungal …
emphasizes the need for more effective infection control strategies. Bacterial and fungal …
Machine learning: an advancement in biochemical engineering
R Saha, A Chauhan, S Rastogi Verma - Biotechnology Letters, 2024 - Springer
One of the most remarkable techniques recently introduced into the field of bioprocess
engineering is machine learning. Bioprocess engineering has drawn much attention due to …
engineering is machine learning. Bioprocess engineering has drawn much attention due to …
[HTML][HTML] Functionalized Bacterial Cellulose: A Potential Sustainable Adsorbent for Methylene Blue Removal
A Amaro-Reyes, K Marín-Medina, M Escamilla-García… - Polysaccharides, 2025 - mdpi.com
The printing and dyeing industries generate wastewater containing toxic, hard-to-degrade
organic dyes like methylene blue (MB). Recent research focuses on biodegradable …
organic dyes like methylene blue (MB). Recent research focuses on biodegradable …
[HTML][HTML] Application of neural network in prediction of acetic acid yield by Acetobacters
E Voisin, S Thakur, J Nayak, S Chakrabortty… - South African Journal of …, 2024 - Elsevier
In the present work, artificial neural network (ANN) is applied for the estimation of acetic acid
yield for 3 different species of Acetobacters like, Acetobacter pasteurianus (NCIM 2104) …
yield for 3 different species of Acetobacters like, Acetobacter pasteurianus (NCIM 2104) …