Microalgal growth simulation for CO₂ capture estimation. Monod kinetics, Steele photoinhibition, and CTMI temperature modeling for Chlorella vulgaris under Surat, India's tropical climate.
Code and resources for LMFM-12 microalgae image classification, comparing seven CNN architectures and evaluating transfer learning performance
IoT-based portable photobioreactor monitoring system for distributed urban microalgae cultivation — Bangkit Academy capstone project integrating OD sensor data, growth tracking, and carbon capture estimation
Motor de IA preditiva para estimativa de crescimento de biomassa em tanques de cultivo de microalgas. Recebe dados de sensores IoT (pH, temperatura, turbidez, luminosidade e radiação PAR) e retorna previsão de biomassa em g/L, data estimada de colheita e confiança do modelo via API REST. Desenvolvido com Python 3.11, FastAPI e Random Forest (scikit
Research code for LA4SR protein-language modeling in microalgae (Patterns, 2025).
This pipeline could help microalgae scientists to calibrate the OD 680 curve to evaluate algae growth and its association with a potential axenic method using a penicillin-streptomycin hybrid antibiotic.
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