Munish Kumar Gupta

Orcid: 0000-0002-0777-1559

According to our database1, Munish Kumar Gupta authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models.
J. Intell. Manuf., February, 2024

Parallel structure of crayfish optimization with arithmetic optimization for classifying the friction behaviour of Ti-6Al-4V alloy for complex machinery applications.
Knowl. Based Syst., 2024

A quasi-reflected and Gaussian mutated arithmetic optimisation algorithm for global optimisation.
Inf. Sci., 2024

Damage identification of offshore jacket platforms in a digital twin framework considering optimal sensor placement.
CoRR, 2024

2023
Damage identification of offshore jacket platforms in a digital twin framework considering optimal sensor placement.
Reliab. Eng. Syst. Saf., September, 2023

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review.
J. Intell. Manuf., June, 2023

Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control.
J. Intell. Manuf., 2023

2021
Design a Novel Target to Improve Positioning Accuracy of Autonomous Vehicular Navigation System in GPS Denied Environments.
IEEE Trans. Ind. Informatics, 2021

A Novel Unsupervised Machine Learning-Based Method for Chatter Detection in the Milling of Thin-Walled Parts.
Sensors, 2021

A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends.
Sensors, 2021

2020
Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors.
Sensors, 2020

Correction to: Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms.
Neural Comput. Appl., 2020

Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms.
Neural Comput. Appl., 2020

2019
A hybrid PSO-BFO evolutionary algorithm for optimization of fused deposition modelling process parameters.
J. Intell. Manuf., 2019


  Loading...