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Computational Intelligence in Power Engineering (Studies in Computational Intelligence, 302)

نوع: Ebook

نویسنده : Ajith Abraham; Swagatam Das

سال: 2010

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Clustering of fuzzy data and simultaneous feature selection: A model selection approach

نوع: Journal Paper

نویسنده : Saha, Arkajyoti, and Swagatam Das.

ناشر: Elsevier BV

سال: 2017

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Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality

نوع: Journal Paper

نویسنده : Shounak Datta; Swagatam Das

سال: 2018

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Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality

نوع: Journal Paper

نویسنده : Shounak Datta; Swagatam Das

سال: 2018

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A Discrete Inter-Species Cuckoo Search for flowshop scheduling problems

نوع: Journal Paper

نویسنده : Preetam Dasgupta; Swagatam Das

سال: 2015

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Geometric divergence based fuzzy clustering with strong resilience to noise features

نوع: Journal Paper

نویسنده : Arkajyoti Saha; Swagatam Das

سال: 2016

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Removal of High-Density Salt-and-Pepper Noise in Images With an Iterative Adaptive Fuzzy Filter Using Alpha-Trimmed Mean

نوع: Journal Paper

نویسنده : Faruk Ahmed; Swagatam Das

سال: 2014

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Ant colony optimization based enhanced dynamic source routing algorithm for mobile Ad-hoc network

نوع: Journal Paper

نویسنده : Shubhajeet Chatterjee; Swagatam Das

سال: 2015

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Noisy evolutionary optimization algorithms – A comprehensive survey

نوع: Journal Paper

نویسنده : Pratyusha Rakshit; Amit Konar; Swagatam Das

سال: 2017

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Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution

نوع: Journal Paper

نویسنده : Soham Sarkar; Swagatam Das; Sheli Sinha Chaudhuri

سال: 2016

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Computational Intelligence in Power Engineering (Studies in Computational Intelligence, 302)

Clustering of fuzzy data and simultaneous feature selection: A model selection approach

Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality

Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality

A Discrete Inter-Species Cuckoo Search for flowshop scheduling problems

Geometric divergence based fuzzy clustering with strong resilience to noise features

Removal of High-Density Salt-and-Pepper Noise in Images With an Iterative Adaptive Fuzzy Filter Using Alpha-Trimmed Mean

Ant colony optimization based enhanced dynamic source routing algorithm for mobile Ad-hoc network

Noisy evolutionary optimization algorithms – A comprehensive survey

Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution

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Computational Intelligence in Power Engineering (Studies in Computational Intelligence, 302)

Clustering of fuzzy data and simultaneous feature selection: A model selection approach

Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality

Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality

A Discrete Inter-Species Cuckoo Search for flowshop scheduling problems

Geometric divergence based fuzzy clustering with strong resilience to noise features

Removal of High-Density Salt-and-Pepper Noise in Images With an Iterative Adaptive Fuzzy Filter Using Alpha-Trimmed Mean

Ant colony optimization based enhanced dynamic source routing algorithm for mobile Ad-hoc network

Noisy evolutionary optimization algorithms – A comprehensive survey

Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution