Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Statistical analysis and Neural Network Modeling of functionally graded porous nanobeams vibration in an elastic medium by considering the surface effects
The natural frequency of a clamped–clamped functionally graded porous (FGP) nanobeam
is predicted in this study. Material distribution is considered based on monotonous …
is predicted in this study. Material distribution is considered based on monotonous …
Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel
B Mrzygłód, M Hawryluk, M Janik… - The international journal …, 2020 - Springer
The article presents the results of a sensitivity analysis of artificial neural networks
developed for a system which predicts the durability of forging tools used in the selected hot …
developed for a system which predicts the durability of forging tools used in the selected hot …
[BOK][B] Data-driven evolutionary modeling in materials technology
N Chakraborti - 2022 - taylorfrancis.com
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …
used in learning and modeling especially with the advent of big data related problems. This …
Multi-objective optimization of buckling load and natural frequency in functionally graded porous nanobeams using non-dominated sorting genetic Algorithm-II
This study investigates the fundamental natural frequency and critical buckling load of
Functionally Graded Porous nanobeams supported by an elastic medium, addressing the …
Functionally Graded Porous nanobeams supported by an elastic medium, addressing the …
Optimal process design in hot forging in terms of grain flow quality
With the improvement in the accuracy of simulation and computation time, the need for the
application of optimization technique in designing process parameters is increasing and is …
application of optimization technique in designing process parameters is increasing and is …
Determination of worst-case data using an adaptive surrogate model for real-time system
The estimation of worst-case execution time (WCET) is a critical activity in the analysis of
real-time systems. Evolutionary algorithms are frequently employed for the determination of …
real-time systems. Evolutionary algorithms are frequently employed for the determination of …
The effect of electrical discharge machining parameters on alloy DIN 1.2080 using the Taguchi method and determinant of optimal design of experiments
Abstract Electrical Discharge Machining (EDM) process is one of the most widely used
methods for machining. This method is used to form parts that conduct electricity. This …
methods for machining. This method is used to form parts that conduct electricity. This …
[PDF][PDF] DRAFT COPY
M Rashid, SAB Shah, M Arif - researchgate.net
The estimation of worst-case execution time (WCET) is a critical activity in the analysis of
real-time systems. Evolutionary algorithms are frequently employed for the determination of …
real-time systems. Evolutionary algorithms are frequently employed for the determination of …