A. Nandi

Publications620
h-index64
Citations16,204
Highly Influential Citations565
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Experimental observation of isolated large transverse energy electrons with associated missing energy at $\sqrt s$ = 540 GeV
Automatic Modulation Classification Using Combination of Genetic Programming and KNN
TLDR
This paper explores the use of Genetic Programming in combination with K-nearest neighbor (KNN) for AMC and demonstrates that the proposed method provides better classification performance compared to other recent methods.
Experimental observation of lepton pairs of invariant mass around 95 GeV/c2 at the Cern SPS collider
Algorithms for automatic modulation recognition of communication signals
TLDR
This paper introduces two algorithms for analog and digital modulations recognition that utilizes the decision-theoretic approach in which a set of decision criteria for identifying different types of modulations is developed and the artificial neural network is used as a new approach.
Automatic digital modulation recognition using artificial neural network and genetic algorithm
Automatic identification of digital modulation types
Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation
TLDR
A BSS procedure based on higher-order statistics and Widrow's multireference adaptive noise cancelling approach is compared and the experimental outcomes demonstrate the more robust performance of the blind technique and verify the validity of the BSS model in this important biomedical application.
Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
TLDR
An improved FCM algorithm based on morphological reconstruction and membership filtering (FRFCM) that is significantly faster and more robust than FCM is proposed in this paper and demonstrates that the proposed algorithm not only achieves better results, but also requires less time than the state-of-the-art algorithms for image segmentation.
Global gene expression analysis of human erythroid progenitors.
TLDR
4 distinct populations at successive erythropoietin-dependent stages of erythroid maturation, including the terminal, pyknotic stage are isolated, demonstrating the importance of using defined cell populations to identify lineage and temporally specific patterns of gene expression.
Applications of machine learning to machine fault diagnosis: A review and roadmap
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