Showing items 1 - 3 of 3

Predicting the rates of photocatalytic hydrogen evolution over cocatalyst-deposited TiO2 using machine learning with active photon flux as a unifying feature

- Haghshenas, Yousof, Wong, Wei Ping, Sethu, Vidhyasaharan, Teoh, Wey Yang, Gunawan, Denny, Khataee, Alireza, Keyikoğlu, Ramazan, Razmjou, Amir, Kumar, Priyank Vijaya, Toe, Cui Ying, Masood, Hassan, Amal, Rose

The advanced design of bioleaching process for metal recovery: A machine learning approach

- Mokarian, Parastou, Bakhshayeshi, Ivan, Taghikhah, Firouzeh, Boroumand, Yasaman, Erfani, Eila, Razmjou, Amir

Application of Machine Learning Algorithms to Estimate Enzyme Loading, Immobilization Yield, Activity Retention, and Reusability of Enzyme-Metal-Organic Framework Biocatalysts

- Chai, Milton, Moradi, Sina, Erfani, Eila, Asadnia, Mohsen, Chen, Vicki, Razmjou, Amir

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