EventiC: A real-time unbiased event-based learning technique for complex systems
An improved method for the real time sensitivity analysis in large scale complex systems is
proposed in this paper. The method borrows principles from the event tracking of interrelated …
proposed in this paper. The method borrows principles from the event tracking of interrelated …
Exemplifying the effects of distance metrics on clustering techniques: f-measure, accuracy and efficiency
T Nizam, SI Hassan - 2020 7th International Conference on …, 2020 - ieeexplore.ieee.org
Clustering is a type of unsupervised learning in which similar data or objects are collected
into a single group. These objects can be exhibited in an n-dimensional Euclidean space …
into a single group. These objects can be exhibited in an n-dimensional Euclidean space …
EventClustering for improved real time input variable selection and data modelling
This paper proposes a unique and novel approach for real time input variable selection
(IVS) sensitivity analysis (SA) applicable to large scale complex systems. Borrowed from the …
(IVS) sensitivity analysis (SA) applicable to large scale complex systems. Borrowed from the …
Causal Modelling for Predicting Machine Tools Degradation in High Speed Production Process
VC Angadi, A Mousavi, D Bartolomé, M Tellarini… - IFAC-PapersOnLine, 2020 - Elsevier
A dynamic health indicator based on regressive event-tracker algorithm is proposed to
accurately interpret the condition of critical components of machine tools in a production …
accurately interpret the condition of critical components of machine tools in a production …
[PDF][PDF] EventiC: A Real-Time Unbiased Event Based Learning Technique for Complex Systems
A Mousavi, M Danishvar, P Broomhead - 2018 - bura.brunel.ac.uk
An improved method for the real time sensitiv-ity analysis in large scale complex systems is
proposed in this paper. The method borrows principles from the event tracking of interrelated …
proposed in this paper. The method borrows principles from the event tracking of interrelated …
[PDF][PDF] Comparative Analysis of K-Means using MapReduce.
H Siddiqui, S Tanweer - … Journal of Advanced Research in Computer …, 2017 - academia.edu
Continuous growth of digital data has led to concentration in the data mining technique. The
actual purpose of data mining is to analyze the larger data set to extract knowledge and …
actual purpose of data mining is to analyze the larger data set to extract knowledge and …