Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …

Many real-world data-mining applications involve obtaining predictive models using
datasets with strongly imbalanced distributions of the target variable. Frequently, the least …

Thermal conductivity is a specific thermal property of soil which controls the exchange of
thermal energy. If predicted accurately, the thermal conductivity of soil has a significant effect …

We propose a data mining approach to predict human wine taste preferences that is based
on easily available analytical tests at the certification step. A large dataset (when compared …

Modelling the heating load (HL) and cooling load (CL) is the cornerstone of the designing of
energy-efficient buildings, since it determines the heating and cooling equipment …

Genetic programming (GP; Koza 1992) is a biologically inspired machine learning method
that evolves computer programs to perform a task. It does this by randomly generating a …

CONTEXT: Software engineering has a problem in that when we empirically evaluate
competing prediction systems we obtain conflicting results. OBJECTIVE: To reduce the …

Face presentation attack detection (PAD) is essential to secure face recognition systems
primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from …

Forest fires are a major environmental issue, creating economical and ecological damage
while endangering human lives. Fast detection is a key element for controlling such …

Typical reconfigurable machines exhibit shortcomings that make them less than ideal for
general-purpose computing. The Garp Architecture combines reconfigurable hardware with …