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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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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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Leveraging textual information for social media news categorization and sentiment analysis

PloS one, 2024-07, Vol.19 (7), p.e0307027

2024

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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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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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Predictive modeling of multi-class diabetes mellitus using machine learning and filtering iraqi diabetes data dynamics

PloS one, 2024-05, Vol.19 (5), p.e0300785-e0300785

2024

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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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Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.657

2023

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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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A Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (14), p.3532

2023

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Improving Hyperspectral Image Classification with Compact Multi-Branch Deep Learning

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (12), p.2069

2024

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Improving hyperspectral image classification through spectral-spatial feature reduction with a hybrid approach and deep learning

Journal of spatial science, 2024-04, Vol.69 (2), p.349-366

2024

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Hyperspectral Image Classification via Information Theoretic Dimension Reduction

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (4), p.1147

2023

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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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Improved folded-PCA for efficient remote sensing hyperspectral image classification

Geocarto international, 2022-12, Vol.37 (25), p.9474-9496

2022

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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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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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Masked Face Recognition System using Extended VGG-19

2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2022, p.1-4

2022

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Spectrally-Segmented-Incremental-PCA for Hyperspectral Image Classification

2022 25th International Conference on Computer and Information Technology (ICCIT), 2022, p.563-568

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

ACM computing surveys, 2025-01, Vol.57 (1), p.1-34

2025

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Winning at the Starting Line: Unreliable Data Replica Selection for Edge Data Integrity Verification

IEEE transactions on services computing, 2024-10, p.1-13

2024

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

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

Leveraging textual information for social media news categorization and sentiment analysis

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

PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

Predictive modeling of multi-class diabetes mellitus using machine learning and filtering iraqi diabetes data dynamics

Robust Federated Averaging via Outlier Pruning

Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification

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

A Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling

Improving Hyperspectral Image Classification with Compact Multi-Branch Deep Learning

Improving hyperspectral image classification through spectral-spatial feature reduction with a hybrid approach and deep learning

Hyperspectral Image Classification via Information Theoretic Dimension Reduction

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

Improved folded-PCA for efficient remote sensing hyperspectral image classification

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

PCA-based dimensionality reduction for face recognition

Segmented-Sparse-PCA for Hyperspectral Image Classification

Masked Face Recognition System using Extended VGG-19

Spectrally-Segmented-Incremental-PCA for Hyperspectral Image Classification

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

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

Winning at the Starting Line: Unreliable Data Replica Selection for Edge Data Integrity Verification

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