Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …

Due to increasing demands for ensuring the safety and reliability of a system, fault detection
(FD) has received considerable attention in modern industries to monitor their machines …

Increasing numbers of COVID-19 patients, continue to experience symptoms months after
recovering from mild cases of COVID-19. Amongst these symptoms, several are related to …

Machine Learning is a significant technique to realize Artificial Intelligence. The Random
Forest Algorithm can be considered as one of the Machine Learning's representative …

Computational and data handling limitations have constrained time-series analyses of land-
cover change at high-spatial resolution over large (eg, continental) extents. However, a new …

The ability to profile hundreds of thousands to millions of single cells using scRNA-
sequencing has revolutionized the fields of cell and developmental biology, providing …

Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are a family of bacterial lipids
which have emerged over time as robust temperature and pH paleoproxies in continental …

Alzheimer's disease (AD) is the most common type of neurological disorder that leads to the
brain's cell death overtime. It is one of the major important causes of memory loss and …

Breast cancer has become the leading cause of global cancer incidence and a serious
threat to women's health. Accurate diagnosis and early treatment are of great importance to …

Alzheimer's disease (AD) is one of the most frequent neurodegenerative disorders in the
elderly subjects. Since early detection can prevent or delay cognitive decline in the older …