AI/ML

ECNet is an Evolutionary Context-Integrated Deep Learning Framework for Protein Engineering

Type: Publication

Themes: Conversion

Keywords: AI/ML

Deciphering Enhancer Sequence Using Thermodynamics-Based Models and Convolutional Neural Networks

Type: Publication

Themes: Conversion

Keywords: AI/ML

Understanding growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning

Type: Publication

Themes: Feedstock Production, Sustainability

Keywords: AI/ML, Field Data, Remote Sensing

Recent Advances in Constraint and Machine Learning-Based Metabolic Modeling by Leveraging Stoichiometric Balances, Thermodynamic Feasibility, and Kinetic Law Formalisms

Type: Publication

Themes: Conversion

Keywords: AI/ML, Inter-BRC, Metabolomics, Modeling

STAIR 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10m, Daily, and Cloud-/Gap-Free Surface Reflectance Product

Type: Publication

Themes: Conversion, Sustainability

Keywords: AI/ML, Automation, Remote Sensing

Machine Learning-Based Estimation of Land Productivity in the Contiguous U.S. Using Biophysical Predictors

Type: Publication

Themes: Sustainability

Keywords: AI/ML, Modeling

Biosystems Design by Machine Learning

Type: Publication

Themes: Conversion

Keywords: AI/ML

Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways

Type: Publication

Themes: Conversion

Keywords: AI/ML, Bioproducts