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Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification

International journal of remote sensing, 2021-01, Vol.42 (1), p.286-321

2021

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Effective feature extraction through segmentation-based folded-PCA for hyperspectral image classification

International journal of remote sensing, 2019-09, Vol.40 (18), p.7190-7220

2019

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Effective subspace detection based on the measurement of both the spectral and spatial information for hyperspectral image classification

International journal of remote sensing, 2020-10, Vol.41 (19), p.7541-7564

2020

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A lightweight 3D-2D convolutional neural network for spectral-spatial classification of hyperspectral images

Journal of intelligent & fuzzy systems, 2022-01, Vol.43 (1), p.1241-1258

2022

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PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

Technical review - IETE, 2021-07, Vol.38 (4), p.377-396

2021

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Robust Federated Averaging via Outlier Pruning

IEEE signal processing letters, 2022, Vol.29, p.409-413

2022

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Power spectral density-based resting-state EEG classification of first-episode psychosis

Scientific reports, 2024-07, Vol.14 (1), p.15154-12, Article 15154

2024

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Band reordering heuristics for lossless satellite image compression with 3D-CALIC and CCSDS

Journal of visual communication and image representation, 2019-02, Vol.59, p.514-526

2019

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Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation

Frontiers in plant science, 2023-08, Vol.14, p.1234555-1234555

2023

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A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

IEEE access, 2023, Vol.11, p.15038-15057

2023

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A novel data balancing technique via resampling majority and minority classes toward effective classification

Telkomnika, 2023-12, Vol.21 (6), p.1308

2023

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PCA-based dimensionality reduction for face recognition

Telkomnika, 2021-10, Vol.19 (5), p.1622-1629

2021

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Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

PeerJ. Computer science, 2024-03, Vol.10, p.e1917-e1917, Article e1917

2024

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Blockchain-enabled Federated Learning: A Survey

ACM computing surveys, 2022-11, Vol.55 (4), p.1-35, Article 70

2022

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Effective Feature Extraction via Folded-Sparse-PCA for Hyperspectral Image Classification

Machine Intelligence and Emerging Technologies, p.538-549

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Segmented-Incremental-PCA for Hyperspectral Image Classification

Machine Intelligence and Emerging Technologies, p.550-563

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Segmented-Truncated-SVD for Effective Feature Extraction in Hyperspectral Image Classification

Machine Intelligence and Emerging Technologies, p.524-537

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Mutual Information Driven Federated Learning

IEEE transactions on parallel and distributed systems, 2021-07, Vol.32 (7), p.1526-1538

2021

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A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends

ACM computing surveys, 2024-08

2024

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An Educational Data Mining System For Predicting And Enhancing Tertiary Students’ Programming Skill

Computer journal, 2023-05, Vol.66 (5), p.1083-1101

2023

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Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data

Computers and electronics in agriculture, 2024-06, Vol.221, p.108964, Article 108964

2024

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Adaptive Regularization and Resilient Estimation in Federated Learning

IEEE transactions on services computing, 2024-07, Vol.17 (4), p.1369-1381

2024

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NDVI Based Change Detection in Sundarban Mangrove Forest Using Remote Sensing Data

2019 4th International Conference on Electrical Information and Communication Technology (EICT), 2019, p.1-5

2019

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Federated Learning via Disentangled Information Bottleneck

IEEE transactions on services computing, 2023-05, Vol.16 (3), p.1874-1889

2023

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Segmented-Sparse-PCA for Hyperspectral Image Classification

2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2022, p.167-170

2022

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Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification

Effective feature extraction through segmentation-based folded-PCA for hyperspectral image classification

Effective subspace detection based on the measurement of both the spectral and spatial information for hyperspectral image classification

A lightweight 3D-2D convolutional neural network for spectral-spatial classification of hyperspectral images

PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

Robust Federated Averaging via Outlier Pruning

Power spectral density-based resting-state EEG classification of first-episode psychosis

Band reordering heuristics for lossless satellite image compression with 3D-CALIC and CCSDS

Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation

A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders

A novel data balancing technique via resampling majority and minority classes toward effective classification

PCA-based dimensionality reduction for face recognition

Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

Blockchain-enabled Federated Learning: A Survey

Effective Feature Extraction via Folded-Sparse-PCA for Hyperspectral Image Classification

Segmented-Incremental-PCA for Hyperspectral Image Classification

Segmented-Truncated-SVD for Effective Feature Extraction in Hyperspectral Image Classification

Mutual Information Driven Federated Learning

A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends

An Educational Data Mining System For Predicting And Enhancing Tertiary Students’ Programming Skill

Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data

Adaptive Regularization and Resilient Estimation in Federated Learning

NDVI Based Change Detection in Sundarban Mangrove Forest Using Remote Sensing Data

Federated Learning via Disentangled Information Bottleneck

Segmented-Sparse-PCA for Hyperspectral Image Classification

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