Background This study proposes a decision support system created in collaboration with
machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The …

Froth flotation, a widely used mineral beneficiation technique, generates substantial
volumes of data, offering the opportunity to extract valuable insights from these data for …

The grout of backfill grouting in water-rich strata is at risk of dilution and loss. To facilitate the
rational selection of grout in water-rich strata, an analysis based on engineering statistical …

Food insecurity poses a lingering threat to national development across low-and
middleincome countries (LMICs), and the recent inflationary trend has severely undercut …

Geomechanical parameters of intact metamorphic rocks determined from laboratory testing
remain highly uncertain because of the great intrinsic variability associated with the degrees …

Machine learning (ML)-based network intrusion detection systems (NIDS) have become a
prospective approach to efficiently protect network communications. However, ML models …

The mass adoption of electric vehicles (EVs) has been accelerated by the imperative need
for energy transition. Nevertheless, the continuous growth of EVs can bring new challenges …

With the use of advanced data analytics and machine learning (ML) techniques, the oil and
gas industry has transformed significantly in recent years. These innovations have opened …

In production scenarios, uncertainty in production times, and scrap rates is common.
Uncertainty can be described by stochastic models that need continuous updates due to …

Exploring the natural complementarity that exists between renewables is pivotal for
optimizing clean electricity generation. Quantifying this complementarity can enhance …