A review of surface quality control technology for robotic abrasive belt grinding of aero-engine blades
B Zhang, S Wu, D Wang, S Yang, F Jiang, C Li - Measurement, 2023 - Elsevier
Higher requirements are being imposed on blade surface quality due to the continuous
improvement of thrust-to-weight ratio and endurance in advanced aero-engines. Robot …
improvement of thrust-to-weight ratio and endurance in advanced aero-engines. Robot …
Modelling daily dissolved oxygen concentration using least square support vector machine, multivariate adaptive regression splines and M5 model tree
In the present study, three types of artificial intelligence techniques, least square support
vector machine (LSSVM), multivariate adaptive regression splines (MARS) and M5 model …
vector machine (LSSVM), multivariate adaptive regression splines (MARS) and M5 model …
Improving daily stochastic streamflow prediction: Comparison of novel hybrid data-mining algorithms
In the current paper, the efficiency of three new standalone data-mining algorithms [M5
Prime (M5P), Random Forest (RF), M5Rule (M5R)] and six novel hybrid algorithms of …
Prime (M5P), Random Forest (RF), M5Rule (M5R)] and six novel hybrid algorithms of …
[HTML][HTML] Optimization of the cutting process on machining time of ankle foot as transtibial prosthesis components using response surface methodology
The purpose of this research is to determine the best milling process parameters for
minimizing machining time of the ankle-foot as a component of transtibial prostheses. The …
minimizing machining time of the ankle-foot as a component of transtibial prostheses. The …
[HTML][HTML] Optimisation of cutting parameters of new material orthotic insole using a Taguchi and response surface methodology approach
PW Anggoro, Y Purharyono, AA Anthony… - Alexandria Engineering …, 2022 - Elsevier
The milling process on a computer numerical control (CNC) machine is a crucial operation
in the development of the modern manufacturing industry. Milling is the operation of peeling …
in the development of the modern manufacturing industry. Milling is the operation of peeling …
[Retracted] Green Machining Characteristics Study of Al‐6063 in CNC Milling Using Taguchi Method and Grey Relational Analysis
R Suresh Kumar, S Senthil Kumar… - … in Materials Science …, 2021 - Wiley Online Library
Green machining strategies in the manufacturing sector help to maintain the product value
by considering the environmental impacts. Also, improvisation in the quality contribution of …
by considering the environmental impacts. Also, improvisation in the quality contribution of …
Surface roughness prediction in robotic belt grinding based on the undeformed chip thickness model and GRNN method
Z Tao, S Li, L Zhang, J Qi, D Zhang - The International Journal of …, 2022 - Springer
As an important evaluation index of surface quality, surface roughness can directly affect the
service performance of products, which makes it an ever-increasing concern in industries …
service performance of products, which makes it an ever-increasing concern in industries …
Document classification of Filipino online scam incident text using data mining techniques
EBB Palad, MS Tangkeko… - 2019 19th …, 2019 - ieeexplore.ieee.org
The increasing number of online transactions and other internet activities give rise to the
proliferation of online scam. The Philippine National Police-Anti Cybercrime Group (PNP …
proliferation of online scam. The Philippine National Police-Anti Cybercrime Group (PNP …
Modelling water quality parameters using model tree, random forest, and non-linear regression for Mula-Mutha River, Pune, India
Abstract Evaluation of vital water-quality indicators, especially biological and chemical
demand of oxygen (BOD and COD), is important for environmental factors, human health …
demand of oxygen (BOD and COD), is important for environmental factors, human health …
Soft Computing Techniques for Predicting Chemical Oxygen Demand in River Water
Organic matter in water is assessed through Chemical oxygen demand (COD). COD
prediction utilizing Data driven technique (DDT) has shown to be promising and may be …
prediction utilizing Data driven technique (DDT) has shown to be promising and may be …