A substantial school in the philosophy of science identifies Bayesian inference with inductive
inference and even rationality as such, and seems to be strengthened by the rise and …

Biosystems such as enzymes, pathways, and whole cells have been increasingly explored
for biotechnological applications. However, the intricate connectivity and resulting …

This paper develops and employs an ensemble machine learning (ML) model for prediction
of surface chloride concentration (C s) of concrete, which is an essential parameter for …

The empowering unmanned aerial vehicles (UAVs) have been extensively used in providing
intelligence such as target tracking. In our field experiments, a pretrained convolutional …

This paper presents an ensemble machine learning (ML) model for prediction of modulus of
elasticity (MOE) of concrete formulated using recycled concrete aggregate (RCA), in relation …

Precise and efficient ozone (O 3) concentration prediction is crucial for weather monitoring
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …

Weather forecast data generated by the NOAA Global Forecasting System (GFS) model,
climate indices, and local meteo-hydrologic observations were used to forecast daily …

Depression is a complex clinical entity that can pose challenges for clinicians regarding both
accurate diagnosis and effective timely treatment. These challenges have prompted the …

The notion of developing statistical methods in machine learning which are robust to
adversarial perturbations in the underlying data has been the subject of increasing interest …

Seasonal variations of the moisture content of fine-grained soils may result in the
accumulation of significant volumetric strains, which may affect the stability of geotechnical …