Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Optimizing ANN performance using DOE: application on turning of a titanium alloy

John Kechagias, Aristidis Tsiolikas, Panagiotis Asteris, Nikolaos Vaxevanidis

MATEC Web Conf., 178 (2018) 01017

Published online: 2018-07-24

DOI: https://doi.org/10.1051/matecconf/201817801017

This article has been cited by the following article(s):

Stability Challenges of Amorphous Solid Dispersions of Drugs: A Critical Review on Mechanistic Aspects

Muralidhar Pisay, Singh Padya, Srinivas Mutalik and Kunnatur B. Koteshwara
Critical Reviews™ in Therapeutic Drug Carrier Systems 41 (3) 45 (2024)
https://doi.org/10.1615/CritRevTherDrugCarrierSyst.2023039877

Multiparameter signal-to-noise ratio optimization for end milling cutting conditions of aluminium alloy 5083

John Kechagias
The International Journal of Advanced Manufacturing Technology 132 (9-10) 4979 (2024)
https://doi.org/10.1007/s00170-024-13667-9

Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing Models

Athanasia D. Skentou, Abidhan Bardhan, Anna Mamou, et al.
Rock Mechanics and Rock Engineering 56 (1) 487 (2023)
https://doi.org/10.1007/s00603-022-03046-9

Prediction of Self-Loosening Mechanism and Behavior of Bolted Joints on Automotive Chassis Using Artificial Intelligence

Birtan Güler, Özgür Şengör, Onur Yavuz and Ferruh Öztürk
Machines 11 (9) 895 (2023)
https://doi.org/10.3390/machines11090895

Predicting the Young’s Modulus of Rock Material Based on Petrographic and Rock Index Tests Using Boosting and Bagging Intelligence Techniques

Long Tsang, Biao He, Ahmad Safuan A Rashid, Abduladheem Turki Jalil and Mohanad Muayad Sabri Sabri
Applied Sciences 12 (20) 10258 (2022)
https://doi.org/10.3390/app122010258

Soft computing-based models for the prediction of masonry compressive strength

Panagiotis G. Asteris, Paulo B. Lourenço, Mohsen Hajihassani, et al.
Engineering Structures 248 113276 (2021)
https://doi.org/10.1016/j.engstruct.2021.113276

A Generalised Approach on Kerf Geometry Prediction during CO2 Laser cut of PMMA Thin Plates using Neural Networks

John D. Kechagias, Konstantinos Ninikas, Panagiotis Stavropoulos and Konstantinos Salonitis
Lasers in Manufacturing and Materials Processing 8 (3) 372 (2021)
https://doi.org/10.1007/s40516-021-00152-4

Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

Panagiotis G. Asteris, Anna Mamou, Mohsen Hajihassani, Mahdi Hasanipanah, Mohammadreza Koopialipoor, Tien-Thinh Le, Navid Kardani and Danial J. Armaghani
Transportation Geotechnics 29 100588 (2021)
https://doi.org/10.1016/j.trgeo.2021.100588

MQL Strategies Applied in Ti-6Al-4V Alloy Milling—Comparative Analysis between Experimental Design and Artificial Neural Networks

Nelson Wilson Paschoalinoto, Gilmar Ferreira Batalha, Ed Claudio Bordinassi, Jorge Antonio Giles Ferrer, Aderval Ferreira de Lima Filho, Gleicy de L. X. Ribeiro and Cristiano Cardoso
Materials 13 (17) 3828 (2020)
https://doi.org/10.3390/ma13173828

A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs

Shasha Lu, Mohammadreza Koopialipoor, Panagiotis G. Asteris, Maziyar Bahri and Danial Jahed Armaghani
Materials 13 (17) 3902 (2020)
https://doi.org/10.3390/ma13173902