H
Haider Banka
Researcher at Indian Institutes of Technology
Publications - 114
Citations - 2437
Haider Banka is an academic researcher from Indian Institutes of Technology. The author has contributed to research in topics: Feature selection & Wireless sensor network. The author has an hindex of 20, co-authored 109 publications receiving 1872 citations. Previous affiliations of Haider Banka include Indian Statistical Institute & Indian Institute of Technology Dhanbad.
Papers
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A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks
TL;DR: An energy efficient cluster head selection algorithm which is based on particle swarm optimization (PSO) called PSO-ECHS is proposed with an efficient scheme of particle encoding and fitness function and the results are compared with some existing algorithms to demonstrate the superiority of the proposed algorithm.
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Multi-objective evolutionary biclustering of gene expression data
Sushmita Mitra,Haider Banka +1 more
TL;DR: A novel multi-objective evolutionary biclustering framework is introduced by incorporating local search strategies and a new quantitative measure to evaluate the goodness of the biclusters is developed.
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Rough–Fuzzy Collaborative Clustering
TL;DR: A novel clustering architecture is introduced, in which several subsets of patterns can be processed together with an objective of finding a common structure, and the required communication links are established at the level of cluster prototypes and partition matrices.
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Local pattern transformation based feature extraction techniques for classification of epileptic EEG signals
Abeg Kumar Jaiswal,Haider Banka +1 more
TL;DR: This study suggests that LNDP and 1D-LGP could be effective feature extraction techniques for the classification of epileptic EEG signals.
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Evolutionary Rough Feature Selection in Gene Expression Data
TL;DR: An evolutionary rough feature selection algorithm is used for classifying microarray gene expression patterns and the effectiveness of the algorithm is demonstrated on three cancer datasets.