S
S. Easter Selvan
Researcher at Université catholique de Louvain
Publications - 23
Citations - 535
S. Easter Selvan is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: Independent component analysis & Quadratic programming. The author has an hindex of 11, co-authored 21 publications receiving 421 citations. Previous affiliations of S. Easter Selvan include University of Grenoble & Centre national de la recherche scientifique.
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Single-Channel EMG Classification With Ensemble-Empirical-Mode-Decomposition-Based ICA for Diagnosing Neuromuscular Disorders
TL;DR: The present work focuses on a classification method for neuromuscular disorders that deals with the data recorded using a single-channel EMG sensor that decomposes the single-Channel EMG signal into a set of noise-canceled intrinsic mode functions, which in turn are separated by the FastICA algorithm.
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A Hybrid With Cross-Entropy Method and Sequential Quadratic Programming to Solve Economic Load Dispatch Problem
M. S. P. Subathra,S. Easter Selvan,T. Aruldoss Albert Victoire,A. Hepzibah Christinal,Umberto Amato +4 more
TL;DR: A new hybrid approach integrating the cross-entropy algorithm and the sequential quadratic programming (SQP) technique to solve the economic load dispatch (ELD) problem related to electrical power generating units.
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An empirical study on optic disc segmentation using an active contour model
M. Caroline Viola Stella Mary,Elijah Blessing Rajsingh,J. Kishore Kumar Jacob,D. Anandhi,Umberto Amato,S. Easter Selvan +5 more
TL;DR: An OD segmentation scheme to infer how the performance of the well-known gradient vector flow (GVF) model compares with nine popular/recent ACM algorithms by supplying them with the initial OD contour derived from the circular Hough transform is designed.
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An ICA-EBM-Based sEMG Classifier for Recognizing Lower Limb Movements in Individuals With and Without Knee Pathology
Ganesh R. Naik,S. Easter Selvan,Sridhar P. Arjunan,Amit Acharyya,Dinesh Kumar,Arvind Ramanujam,Hung T. Nguyen +6 more
TL;DR: The outcome of this study is very encouraging, with suitable improvement, the clinical application of such an sEMG-based pattern recognition system that distinguishes healthy and knee pathological subjects would be an attractive consequence.
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A Riemannian subgradient algorithm for economic dispatch with valve-point effect
TL;DR: It is shown that Clarke's calculus can be used to compute a deterministic admissible descent direction by solving a simple, low-dimensional quadratic program and can be incorporated in existing heuristic techniques to provide a better exploration of the search space.