Highlights•Parametric study to investigate the comparative performance of ML
techniques.•Study is applied to the estimation of petroleum reservoir permeability.•Seismic …

Pore and fracture pressures are a critical formation condition that affects efficiency and
economy of drilling operations. The knowledge of the pore and fracture pressures is …

Permeability prediction has been a challenge to reservoir engineers due to the lack of tools
that measure it directly. The most reliable data of permeability obtained from laboratory …

Functional networks (FNs) are extensions of neural networks (NNs). Unlike NNs, FNs
considers general functional models instead of sigmoid-like models. Additionally, in FNs …

This paper proposes unconstrained functional networks as a new classifier to deal with the
pattern recognition problems. Both methodology and learning algorithm for this kind of …

Software engineering development has gradually become essential element in different
aspects of the daily life and an important factor in numerous critical real-industry …

This paper proposes a new intelligence paradigm scheme to forecast that emphasizes on
numerous software development elements based on functional networks forecasting …

Crude oil is a vital and valuable commodity in the energy industry. In order to maintain
continuous, stable, and reasonably priced supplies, oil producers need cheaper exploration …

This paper presents a new statistical techniques—Bayesian Generalized Associative
Functional Networks (GAFN), to model the dynamical plant growth process of greenhouse …

Thalassemia is a genetic defect that is commonly found in many parts of the world. Number
of humans that are suffering from this disease is determined by screening the heterozygous …