Morad Danishvar

Orcid: 0000-0002-7939-9098

Affiliations:
  • Brunel University London, UK


According to our database1, Morad Danishvar authored at least 15 papers between 2013 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
Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing.
IEEE Trans. Engineering Management, 2024

2023
Industrial Genomics: A Novel Approach to System Behaviour Discovery.
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

2022
The Genomics of Industrial Process Through the Qualia of Markovian Behavior.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Classification cardiac beats using arterial blood pressure signal based on discrete wavelet transform and deep convolutional neural network.
Biomed. Signal Process. Control., 2022

Boosting Iris Recognition by Margin-Based Loss Functions.
Algorithms, 2022

Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems.
IEEE Access, 2022

2021
Energy-Aware Flowshop Scheduling: A Case for AI-Driven Sustainable Manufacturing.
IEEE Access, 2021

2020
EventiC: A Real-Time Unbiased Event-Based Learning Technique for Complex Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

2019
EGEP: An Event Tracker Enhanced Gene Expression Programming for Data Driven System Engineering Problems.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Simulation of Event-Based Technique for Harmonic Failures.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2019

2018
Application of Data Driven techniques to Predict N2O Emission in Full-scale WWTPs.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Zero Defect Manufacturing of Microsemiconductors - An Application of Machine Learning and Artificial Intelligence.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

2015
Modelling and design of the eco-system of causality for real-time systems.
PhD thesis, 2015

2014
EventClustering for improved real time input variable selection and data modelling.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Event-clustering for real-time data modeling.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013


  Loading...