Saroj K. Meher

Orcid: 0000-0002-1163-4768

According to our database1, Saroj K. Meher authored at least 47 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Domain adaptation framework with ensemble of fuzzy rules-based ELMs for remote-sensing image classification.
Soft Comput., March, 2024

GrI-CNN: Granulated Deep Learning Model With Interpretable Architecture for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Classification of cancer microarray data using a two-step feature selection framework with moth-flame optimization and extreme learning machine.
Multim. Tools Appl., 2024

2022
IRS-Multispectral-Remote Sensing Data(LISS-III+LISS-II).
Dataset, May, 2022

Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection.
J. Supercomput., 2022

2021
Interpretable Rule-Based Fuzzy ELM and Domain Adaptation for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

An attention-based CNN-LSTM model for subjectivity detection in opinion-mining.
Neural Comput. Appl., 2021

2020
Improved Spatial Information Based Semisupervised Classification of Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Improved method of word embedding for efficient analysis of human sentiments.
Multim. Tools Appl., 2020

Rough-Wavelet Feature Space, Deep Autoencoder, and Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2020

Granular space, knowledge-encoded deep learning architecture and remote sensing image classification.
Eng. Appl. Artif. Intell., 2020

Semisupervised classification of remote sensing images using efficient neighborhood learning method.
Eng. Appl. Artif. Intell., 2020

2019
Fusion of progressive granular neural networks for pattern classification.
Soft Comput., 2019

Semisupervised self-learning granular neural networks for remote sensing image classification.
Appl. Soft Comput., 2019

2018
Adaptive Granular Neural Networks for Remote Sensing Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017
Knowledge-Based Progressive Granular Neural Networks for Remote Sensing Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Efficient pattern classification model with neuro-fuzzy networks.
Soft Comput., 2017

Comparative analysis on the application of neuro-fuzzy models for complex engineered systems: Case study from a landfill and a boiler.
Expert Syst. J. Knowl. Eng., 2017

Dynamic granular neural networks for remote sensing image classification.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Unified granular neural networks for pattern classification.
Neurocomputing, 2016

2015
Ensemble of Adaptive Rule-Based Granular Neural Network Classifiers for Multispectral Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Knowledge-Encoded Granular Neural Networks for Hyperspectral Remote Sensing Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Data science, big data and granular mining.
Pattern Recognit. Lett., 2015

Adaptive, Noise-Exclusive and Assessment-Based Fuzzy Switching Median Filter For High Intensity Impulse Noise.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Multiple Decision Expert Systems for Performance Analysis of a Boiler System.
Appl. Artif. Intell., 2015

2014
Explicit rough-fuzzy pattern classification model.
Pattern Recognit. Lett., 2014

Recursive and noise-exclusive fuzzy switching median filter for impulse noise reduction.
Eng. Appl. Artif. Intell., 2014

2013
Title Paper: Natural computing: A problem solving paradigm with granular information processing.
Appl. Soft Comput., 2013

Special issue on granular soft computing for pattern recognition and mining.
Appl. Soft Comput., 2013

An efficient and computationally effective random valued impulse noise detector.
Proceedings of the International Conference on Advances in Computing, 2013

2012
Class-dependent rough-fuzzy granular space, dispersion index and classification.
Pattern Recognit., 2012

Granular Computing Models in the Classification of Web Content Data.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

2011
Wavelet-fuzzy hybridization: Feature-extraction and land-cover classification of remote sensing images.
Appl. Soft Comput., 2011

Rough-wavelet granular space and classification of multispectral remote sensing image.
Appl. Soft Comput., 2011

Efficient Detection and Counting of Moving Vehicles with Region-Level Analysis of Video Frames.
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

2010
Neuro-fuzzy-combiner: an effective multiple classifier system.
Int. J. Knowl. Eng. Soft Data Paradigms, 2010

Pattern Classification Using Class-Dependent Rough-Fuzzy Granular Space.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2009
A novel approach to neuro-fuzzy classification.
Neural Networks, 2009

2008
A novel fuzzy classifier based on product aggregation operator.
Pattern Recognit., 2008

Customer Churn Time Prediction in Mobile Telecommunication Industry Using Ordinal Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007
Wavelet-Feature-Based Classifiers for Multispectral Remote-Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2007

Neuro-Wavelet Classifier for Multispectral Remote Sensing Images.
Int. J. Wavelets Multiresolution Inf. Process., 2007

A New Fuzzy Supervised Classification Method Based on Aggregation Operator.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

Neuro-Wavelet Classifier for Remote Sensing Image Classification.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2006
Communication channel equalization using wavelet network.
Digit. Signal Process., 2006

Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier System.
Proceedings of the 9th International Conference in Information Technology, 2006


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