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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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An IoT-Enabled Ground Loop Detection System: Design, Implementation and Testing

Journal of circuits, systems, and computers, 2023-09, Vol.32 (14)

2023

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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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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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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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A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention

PloS one, 2024-10, Vol.19 (10), p.e0309430

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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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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Federated Learning via Disentangled Information Bottleneck

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

2023

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Enhancing tertiary students' programming skills with an explainable Educational Data Mining approach

PloS one, 2024-09, Vol.19 (9), p.e0307536

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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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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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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Towards privacy-preserving Alzheimer’s disease classification: Federated learning on T1-weighted magnetic resonance imaging data

Digital health, 2024-11, Vol.10

2024

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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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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

An IoT-Enabled Ground Loop Detection System: Design, Implementation and Testing

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

Mutual Information Driven Federated Learning

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

A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention

Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification

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

Federated Learning via Disentangled Information Bottleneck

Enhancing tertiary students' programming skills with an explainable Educational Data Mining approach

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

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

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

Towards privacy-preserving Alzheimer’s disease classification: Federated learning on T1-weighted magnetic resonance imaging data

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

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