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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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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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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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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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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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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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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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Hyperspectral Image Classification via Information Theoretic Dimension Reduction

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

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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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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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

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

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

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

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

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

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

Hyperspectral Image Classification via Information Theoretic Dimension Reduction

Improved folded-PCA for efficient remote sensing hyperspectral image classification

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

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