Accurate classification of brain tumor subtypes is important for prognosis and treatment.
Researchers are developing tools based on static and dynamic feature extraction and …

Use and popularity of Bayesian network (BN) modeling has greatly expanded in recent
years, but many common problems remain. Here, I summarize key problems in BN model …

Invasive wildlife often causes serious damage to the economy and agriculture as well as
environmental, human and animal health. Habitat models can fill knowledge gaps about …

The relations between benthic macroinvertebrate communities and eco-factors usually are
nonlinear and highly complex, and are often difficult to evaluate. In this study, canonical …

Diluted treated effluent from the McClean Lake uranium mill in northern Saskatchewan is
released into Vulture Lake, which flows into the east basin of McClean Lake; this input could …

The precise forecasting of the weathering degree of surrounding rock holds paramount
importance for the scientific design and secure execution of tunnel engineering. The …

Habitat suitability index (HSI) models are commonly used to predict habitat quality and
species distributions and are used to develop biological surveys, assess reserve and …

Wildfire occurrences have increased and are projected to continue increasing globally.
Strategic, evidence-based planning with diverse stakeholders, making use of diverse …

The adoptability of the heart to external and internal stimuli is reflected by heart rate
variability (HRV). Reduced HRV can be a predictor of post-infarction mortality. In this study …

Lung cancer is the second foremost cause of cancer due to which millions of deaths occur
worldwide. Developing automated tools is still a challenging task to improve the prediction …