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Conceptual Implementation of Artificial Intelligent based E-Mobility Controller in smart city Environment

Wireless communications and mobile computing, 2021-10, Vol.2021, p.1-8

2021

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CBAM-YOLOv5: A Promising Network Model for Wear Particle Recognition

Wireless communications and mobile computing, 2023-06, Vol.2023, p.1-15

2023

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A Survey of Long-Tail Item Recommendation Methods

Wireless communications and mobile computing, 2021-11, Vol.2021, p.1-14

2021

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Comparative Analysis of Automated Text Summarization Techniques: The Case of Ethiopian Languages

Wireless communications and mobile computing, 2022-09, Vol.2022, p.1-28

2022

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Smart Communication and Security by Key Distribution in Multicast Environment

Wireless communications and mobile computing, 2022-03, Vol.2022, p.1-14

2022

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Performance Study and Optimization of 3D-MANET: A New Analytical Perspective Based on Zipf’s Law

Wireless communications and mobile computing, 2022-09, Vol.2022, p.1-18

2022

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Deep-Sea: A Reconfigurable Accelerator for Classic CNN

Wireless communications and mobile computing, 2022-02, Vol.2022, p.1-23

2022

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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

IEEE transactions on image processing, 2019-04, Vol.28 (4), p.1923-1938

2019

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Estimation of Chronic Illness Severity Based on Machine Learning Methods

Wireless communications and mobile computing, 2021, Vol.2021, p.1-13

2021

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Classification of Digital Modulated COVID-19 Images in the Presence of Channel Noise Using 2D Convolutional Neural Networks

Wireless communications and mobile computing, 2021-07, Vol.2021, p.1-15

2021

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Graph Convolutional Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2021-07, Vol.59 (7), p.5966-5978

2021

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SULoRA: Subspace Unmixing With Low-Rank Attribute Embedding for Hyperspectral Data Analysis

IEEE journal of selected topics in signal processing, 2018-12, Vol.12 (6), p.1351-1363

2018

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CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.4349-4359

2019

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Analysis and Research of Psychological Education Based on Data Mining Technology

Security and communication networks, 2021-08, Vol.2021, p.1-8

2021

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l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

IEEE transactions on geoscience and remote sensing, 2021-09, Vol.59 (9), p.7695-7710

2021

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StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion

IEEE transactions on geoscience and remote sensing, 2019-09, Vol.57 (9), p.6552-6564

2019

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ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.5146-5158

2019

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MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data

IEEE transactions on geoscience and remote sensing, 2019-11, Vol.57 (11), p.9025-9040

2019

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Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey

IEEE geoscience and remote sensing magazine, 2022-03, Vol.10 (1), p.91-124

2022

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Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction

ISPRS journal of photogrammetry and remote sensing, 2019-12, Vol.158, p.35-49

2019

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Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

IEEE geoscience and remote sensing letters, 2020-02, Vol.17 (2), p.302-306

2020

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Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

IEEE geoscience and remote sensing magazine, 2020-12, Vol.8 (4), p.60-88

2020

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Progress and Challenges in Intelligent Remote Sensing Satellite Systems

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.1814-1822

2022

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Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification

Neurocomputing (Amsterdam), 2022-08, Vol.501, p.246-257

2022

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Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-06, Vol.10 (6), p.2960-2975

2017

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Conceptual Implementation of Artificial Intelligent based E-Mobility Controller in smart city Environment

CBAM-YOLOv5: A Promising Network Model for Wear Particle Recognition

A Survey of Long-Tail Item Recommendation Methods

Comparative Analysis of Automated Text Summarization Techniques: The Case of Ethiopian Languages

Smart Communication and Security by Key Distribution in Multicast Environment

Performance Study and Optimization of 3D-MANET: A New Analytical Perspective Based on Zipf’s Law

Deep-Sea: A Reconfigurable Accelerator for Classic CNN

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

Estimation of Chronic Illness Severity Based on Machine Learning Methods

Classification of Digital Modulated COVID-19 Images in the Presence of Channel Noise Using 2D Convolutional Neural Networks

Graph Convolutional Networks for Hyperspectral Image Classification

SULoRA: Subspace Unmixing With Low-Rank Attribute Embedding for Hyperspectral Data Analysis

CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

Analysis and Research of Psychological Education Based on Data Mining Technology

l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion

ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data

Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey

Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction

Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

Progress and Challenges in Intelligent Remote Sensing Satellite Systems

Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification

Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction

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