[HTML][HTML] Modeling of friction stir welding process using adaptive neuro-fuzzy inference system integrated with harris hawks optimizer
Abstract Friction Stir Welding (FSW) has been paid more attention in recent years due to its
efficiency in welding materials that are difficult to weld by conventional fusion welding …
efficiency in welding materials that are difficult to weld by conventional fusion welding …
A hybrid ensemble learning model for evaluating the surface roughness of AZ91 alloy during the end milling operation
P Jha, G Shaikshavali, MG Shankar… - Surface Review and …, 2023 - World Scientific
In metal-cutting operations, the surface roughness of the end product plays a significant role.
It not only affects the aesthetic appearance of the end product but also signifies the product's …
It not only affects the aesthetic appearance of the end product but also signifies the product's …
A new multitask learning method for tool wear condition and part surface quality prediction
Y Wang, B Qin, K Liu, M Shen, M Niu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deep learning has been gradually used in the field of machining condition monitoring.
However, at present only single-task prediction can be performed, which results in increased …
However, at present only single-task prediction can be performed, which results in increased …
An effective PSO-LSSVM-based approach for surface roughness prediction in high-speed precision milling
B Li, X Tian - Ieee Access, 2021 - ieeexplore.ieee.org
Surface roughness is one of the important indicators to measure the surface quality of parts
processed, in addition to the cutting parameters affecting the surface roughness, the …
processed, in addition to the cutting parameters affecting the surface roughness, the …
Prediction of surface roughness using fuzzy broad learning system based on feature selection
Surface roughness is the most important indicators for product quality. Many uncertain
factors affect the surface roughness of the workpiece in the machining processes. Fuzzy …
factors affect the surface roughness of the workpiece in the machining processes. Fuzzy …
Rough approximation of a preference relation by multi-decision dominance for a multi-agent conflict analysis problem
B Sun, W Ma - Information Sciences, 2015 - Elsevier
Multi-attribute group decision-making (MAGDM) has evoked increasing attention in recent
years. Meanwhile, many valuable approaches have been developed to solve various …
years. Meanwhile, many valuable approaches have been developed to solve various …
A lazy learning-based language identification from speech using MFCC-2 features
H Mukherjee, SM Obaidullah, KC Santosh… - International Journal of …, 2020 - Springer
Developing an automatic speech recognition system for multilingual countries like India is a
challenging task due to the fact that the people are inured to using multiple languages while …
challenging task due to the fact that the people are inured to using multiple languages while …
Interpolation-based virtual sample generation for surface roughness prediction
Surface roughness is an essential technical indicator for the surface quality of machined
parts and significantly affects the service performance of the products. Accurate prediction of …
parts and significantly affects the service performance of the products. Accurate prediction of …
Surface roughness prediction as a classification problem using support vector machine
I Abu-Mahfouz, O El Ariss… - … International Journal of …, 2017 - Springer
In order to achieve a high level of product quality, it is imperative to gain a high degree of
predictability especially in automated manufacturing setup. Surface finish is one of the most …
predictability especially in automated manufacturing setup. Surface finish is one of the most …
Broad learning system based on binary grey wolf optimization for surface roughness prediction in slot milling
W Tian, F Zhao, C Min, X Feng, R Liu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Surface roughness is considered to be one of the most significant indicators for evaluating
machining quality. Manufacturing industries generally aim to achieve high product quality …
machining quality. Manufacturing industries generally aim to achieve high product quality …