Purushottam Gangsar

Control and Systems Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 21 citations into it
• Mechanical Engineering — 12 citations into it

Whom Purushottam Gangsar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Achmad Widodo
2. Biswanath Samanta
3. Bo-Suk Yang

Papers from Purushottam Gangsar's perspective

Ordered by how strongly the researchers Purushottam Gangsar trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Estimation of Dependences Based on Empirical Data
3. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
4. Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
5. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
6. Kernel independent component analysis
7. Independent component analysis: algorithms and applications
8. A Practical Guide to Support Vector Classication
9. FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMS
10. Comparison of classifier methods: a case study in handwritten digit recognition

Their papers

• Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review (2020) — 561 citations