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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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IEEE_Xplore

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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Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification

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

2023

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

Journal of spatial science, 2023-07, Vol.ahead-of-print (ahead-of-print), p.1-18

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

IEEE access, 2023-01, Vol.11, p.1-1

2023

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

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

2024

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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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Blockchain-enabled Federated Learning: A Survey

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

2022

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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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IEEE_Xplore

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, Article 108964

2024

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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

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

Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification

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

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

Hyperspectral Image Classification via Information Theoretic Dimension Reduction

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

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

PCA-based dimensionality reduction for face recognition

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

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

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

Blockchain-enabled Federated Learning: A Survey

Segmented-Incremental-PCA for Hyperspectral Image Classification

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

Mutual Information Driven Federated Learning

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

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