1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification
Vikas Singh, Homanga Bharadhwaj, Nishchal K Verma
Clustering techniques have been proved highly suc-cessful for Takagi-Sugeno (T-S) fuzzy model identification. Inparticular, fuzzyc-regression clustering based on type-2 fuzzyset ha…
Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise
Vikas Singh, Pooja Agrawal, Teena Sharma +1
Image denoising is one of the preliminary steps in image processing methods in which the presence of noise can deteriorate the image quality. To overcome this limitation, in this p…
BIDEAL: A Toolbox for Bicluster Analysis -- Generation, Visualization and Validation
Nishchal K. Verma, T. Sharma, S. Dixit +3
This paper introduces a novel toolbox named BIDEAL for the generation of biclusters, their analysis, visualization, and validation. The objective is to facilitate researchers to us…
Intelligent Condition Based Monitoring Techniques for Bearing Fault Diagnosis
Vikas Singh, Nishchal K. Verma
In recent years, intelligent condition-based monitor-ing of rotary machinery systems has become a major researchfocus of machine fault diagnosis. In condition-based monitoring,it i…
Variable feature weighted fuzzy k-means algorithm for high dimensional data
Vikas Singh, Nishchal K. Verma
This paper presents a new fuzzy k-means algorithm for the clustering of high-dimensional data in various subspaces. Since high-dimensional data, some features might be irrelevant a…