Horizontal drilling and hydraulic fracturing are recognized as the most efficient techniques to
enhance recovery in shale-gas reservoirs. Because of the exploitation difficulties and …

Abstract Randomized-based Feedforward Neural Networks approach regression and
classification (binary and multi-class) problems by minimizing the same optimization …

Barium titanate (BaTiO3) is a class of ceramic multifunctional materials with unique thermal
stability, prominent piezoelectricity constant, excellent dielectric constant, environmental …

Abstract Extreme Learning Machine (ELM) can be considered a probabilistic model, wherein
the output is a random variable characterized by its mean and variance, both crucial for …

Spinel ferrites are magnetic oxide materials with potentials to promote green technology in
magnetic refrigeration which is known to be economically clean, energy saving and efficient …

Processing of complex valued data has become a challenge issue in classification problems
where artificial neural networks are used as the classifier. This issue particularly arises in …

Extreme learning machine (ELM) has attracted widespread attention due to its simple, quick
and good performance. In this work, in order to deal with cross data quickly and efficiently …

In this article, an n-sided polygonal cell-based smoothed finite element (n CS-FEM) based
on the Wachspress shape function is formulated for free and forced vibration of solid …

Zinc selenide (ZnSe) semiconductor belongs to a class of wide energy gap material with low
visible region optical absorption, high optical coefficient (nonlinear) and fascinating …

CuO is a narrow band gap semiconductor with distinct features that render it indispensable
in many industrial and technological applications such as environmental friendly catalysts …