Although catalytic processes mediated by surface plasmon resonance (SPR) excitation have
emerged as a new frontier in catalysis, the selectivity of these processes remains poorly …

The main purpose of the present study is to use three state-of-the-art data mining techniques,
namely, logistic model tree (LMT), random forest (RF), and classification and regression …

Layered Ni-rich oxides have always been considered as highly promising cathode materials
for high-energy–density lithium-ion batteries, whereas they have been confronted with …

The aim of the current study was to produce groundwater spring potential maps using novel
ensemble weights-of-evidence (WoE) with logistic regression (LR) and functional tree (FT) …

To optimize the electrochemical performance of Ni-rich cathode materials, the 0.005 mol of
Mg 2+ and 0.005 mol of Ti 4+ co-doping LiNi 0.83 Co 0.11 Mn 0.06 O 2 composite powders, …

Seismic image denoising is essential to enhance the signal-to-noise ratio (SNR) of seismic
images and facilitate seismic processing and geological structure interpretation. With the …

Coking wastewater is widely generated and poses a significant threat to the environment.
Adopting algae bacteria consortia is promising and viable for coking wastewater treatment. In …

As a new member of the group of promising 2D materials, MXene shows the advantages
including metallic conductivity, high charge carrier mobility, tunable band gap, flexibility and …

The spatial prediction of landslide susceptibility is an important prerequisite for the analysis
of landslide hazards and risks in any area. This research uses three data mining techniques, …

The main purpose of this paper is to explore some potential applications of sophisticated
machine learning techniques such as the kernel logistic regression, Naïve-Bayes tree and …