A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...
Of the four machine-learning models, the long short-term memory model best modelled the rainfall-runoff process. Additionally, four ensemble techniques were examined to improve the accuracy of single ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
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MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
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