Vikas Singh
Title
Cited by
Cited by
Year
Adaptive type-2 fuzzy approach for filtering salt and pepper noise in grayscale images
V Singh, R Dev, NK Dhar, P Agrawal, NK Verma
IEEE transactions on fuzzy systems 26 (5), 3170-3176, 2018
722018
Transfer learning for molecular cancer classification using deep neural networks
RK Sevakula, V Singh, NK Verma, C Kumar, Y Cui
IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018
562018
Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction
V Singh, N Baranwal, RK Sevakula, NK Verma, Y Cui
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
202016
Condition monitoring of machines using fused features from EMD-based local energy with DNN
S Maurya, V Singh, NK Verma
IEEE Sensors Journal 20 (15), 8316-8327, 2019
182019
Fusion of low-level features with stacked autoencoder for condition based monitoring of machines
S Maurya, V Singh, S Dixit, NK Verma, A Salour, J Liu
2018 IEEE International Conference on Prognostics and Health Management …, 2018
122018
Fuzzy inference network with mamdani fuzzy inference system
NK Verma, V Singh, S Rajurkar, M Aqib
Computational Intelligence: Theories, Applications and Future Directions …, 2019
102019
Feature learning using stacked autoencoder for shared and multimodal fusion of medical images
V Singh, NK Verma, ZU Islam, Y Cui
Computational Intelligence: Theories, Applications and Future Directions …, 2019
92019
Deep learning architecture for high-level feature generation using stacked auto encoder for business intelligence
V Singh, NK Verma
Complex systems: solutions and challenges in economics, management and …, 2018
92018
Type-2 fuzzy PCA approach in extracting salient features for molecular cancer diagnostics and prognostics
V Singh, NK Verma, Y Cui
IEEE transactions on nanobioscience 18 (3), 482-489, 2019
82019
Deep stacked auto-encoder with deep fuzzy network for transcriptome based tumor type classification
S Rajurkar, V Singh, NK Verma, Y Cui
BMC Bioinformatics 18, 388, 2017
82017
Condition based monitoring of machine using Mamdani fuzzy network
AK Sharma, V Singh, NK Verma, J Liu
2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018
72018
Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce
V Singh, RK Gupta, RK Sevakula, NK Verma
2016 11th International Conference on Industrial and Information Systems …, 2016
72016
Fuzzy based pooling in convolutional neural network for image classification
T Sharma, V Singh, S Sudhakaran, NK Verma
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019
62019
A type-2 fuzzy systems approach for clustering-based identification of a TS regression model
H Bharadhwaj, V Singh, NK Verma
Computational Intelligence: Theories, Applications and Future Directions …, 2019
62019
Improved EMD local energy with SVM for fault diagnosis in air compressor
S Maurya, V Singh, NK Dhar, NK Verma
Computational Intelligence: Theories, Applications and Future Directions …, 2019
42019
Optimal feature selection using fuzzy combination of feature subset for transcriptome data
V Singh, H Vardhan, NK Verma, Y Cui
2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2018
42018
Aerodynamic modeling of ATTAS aircraft using Mamdani fuzzy inference network
AK Sharma, D Singh, V Singh, NK Verma
IEEE Transactions on Aerospace and Electronic Systems 56 (5), 3566-3576, 2020
32020
Intelligent Condition Based Monitoring Techniques for Bearing Fault Diagnosis
V Singh, NK Verma
IEEE Sensors Journal, 2020
22020
An Entropy-based Variable Feature Weighted Fuzzy k-Means Algorithm for High Dimensional Data
V Singh, NK Verma
arXiv preprint arXiv:1912.11209, 2019
22019
Prognosis of diesel engine (MBT) using feature extraction techniques: a comparative study
G Saraswat, V Singh, NK Verma, A Salour, J Liu
2018 IEEE International Conference on Prognostics and Health Management …, 2018
22018
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