Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

Complex statistical methods are continuously developed across the fields of ecology,
evolution, and systematics (EES). These fields, however, lack standardized principles for …

Species distribution modeling (SDM) is widely used in ecology and conservation. Currently,
the most available data for SDM are species presence‐only records (available through …

The use of correlative ecological niche models has highly increased in the last decade.
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …

Brain diseases are mainly caused by abnormal growth of brain cells that may damage the
brain structure, and eventually will lead to malignant brain cancer. An early diagnosis to …

Abstract Information on where species occur is an important component of conservation and
management decisions, but knowledge of distributions is often coarse or incomplete …

Network intrusion detection system (NIDS) is a commonly used tool to detect attacks and
protect networks, while one of its general limitations is the false positive issue. On the basis …

This study aims to create a precise skin cancer classification system (SC-CS) able to
distinguish various skin cancer types. Targeted categories include melanoma, vascular …

The research proposed in this article presents a novel improved version of the widely
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …

Predicting wildfire spread is critical for land management and disaster preparedness. To this
end, we present “Next Day Wildfire Spread,” a curated, large-scale, multivariate dataset of …