Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Abstract: An automated, robust, noncontact sleep posture recognition technique is proposed in this letter, which uses optimizable (Bayesian hyperparameter tuning) machine learning (ML) classifiers ...

Abstract: Correctly setting the parameters of a production machine is essential to improve product quality, increase efficiency, and reduce production costs while also supporting sustainability goals.

Somewhere between 2% and 19% of the genetic ancestry carried by present-day West African populations traces back to an ...

Increasingly, farms are becoming monitoring environments in their own right, generating data from yield monitors, GPS-guided ...

Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Three funds filed to let software run the portfolio. The sales pages promise a lot. The risk pages quietly take most of it back.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...