CorrBoost: a feature selection technique and utility of tabular deep neural networks in software fault prediction [PDF]
Tamanna Sharma+2 more
openalex +1 more source
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk+4 more
wiley +1 more source
Research on digital twin diagnosis model for the thermal-electric field of high-voltage switchgears. [PDF]
Ding F, Ma Y, Li X, Huang J, Kang J.
europepmc +1 more source
From Nature to Engineering: Mortar Volume and Interfacial Mechanics in Bioinspired Ceramics
Inspired by natural armors like nacre, this study explores how varying the volume fraction of the soft mortar layer impacts the interfacial strength and toughness of bioinspired ceramics. Experimental and computational analysis reveals that higher mortar volumes increase energy dissipation but reduce interfacial stiffness, offering insights for ...
Ehsan Azad+4 more
wiley +1 more source
Research on fault prediction and speed control system for unmanned combine harvesters based on IPSO-SVM and fuzzy logic. [PDF]
Zhang S+8 more
europepmc +1 more source
The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay+3 more
wiley +1 more source
Multiobjective optimization of CO<sub>2</sub> injection under geomechanical risk in high water cut oil reservoirs using artificial intelligence approaches. [PDF]
Meng F+7 more
europepmc +1 more source
Rand-Index Target Projective Gradient Deep Belief Network for Software Fault Prediction
T.Shathish Kumar
openalex +2 more sources
This study presents a hyperelastic mechanical metamaterial for elastic energy dissipation. Energy is dissipated within its unit cells by friction assisted by material damping. Frictional contact is enhanced when using auxetic unit cells. The load–displacement plot for one compression cycle shows a pronounced hysteresis loop, indicating that a large ...
Eunhyeuk Jeong+2 more
wiley +1 more source
A Hybrid Deep Learning Framework for Fault Diagnosis in Milling Machines. [PDF]
Siddique MF+4 more
europepmc +1 more source