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

Financial markets are governed by a combination of rational and irrational forces, statistical probabilities and "animal ...

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 ...

Evolution is responsible for Earth’s stunningly diverse spectrum of life, but that wasn’t always the case. In fact, the earliest eras of living organisms were comparatively bo ...

Abstract: Grant-Free Non-Orthogonal Multiple Access (GF-NOMA) is considered as a promising technology to support the massive connectivity of Machine-Type Communications (MTC). The design of efficient ...

Abstract: Sparse Bayesian learning (SBL) and specifically relevance vector machines have received much attention in the machine learning literature as a means of achieving parsimonious representations ...

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 ...

Control of metabolic syndrome (MS) is still a major challenge for patients suffering from Non-communicable diseases (NCDs) in Bangladesh. In this study, the status of MS control was determined, and ...

Floods are among the most destructive natural hazards, particularly in regions with complex terrain and hydrology, where they cause substantial environmental, social, and economic losses. Reliable ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...