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QL-IQA: Learning distance distribution from quality levels for blind image quality assessment

Signal processing. Image communication, 2022-02, Vol.101, p.116576, Article 116576

2022

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RM-IQA: A new no-reference image quality assessment framework based on range mapping method

Computers & electrical engineering, 2021-12, Vol.96, p.107508, Article 107508

2021

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Image super-resolution: A comprehensive review, recent trends, challenges and applications

Information fusion, 2023-03, Vol.91, p.230-260

2023

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Blind image quality prediction by exploiting multi-level deep representations

Pattern recognition, 2018-09, Vol.81, p.432-442

2018

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DeepSim: Deep similarity for image quality assessment

Neurocomputing (Amsterdam), 2017-09, Vol.257, p.104-114

2017

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Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement

Signal processing. Image communication, 2022-03, Vol.102, p.116622, Article 116622

2022

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Federated learning based nonlinear two-stage framework for full-reference image quality assessment: An application for biometric

Image and vision computing, 2022-12, Vol.128, p.104588, Article 104588

2022

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Deep blind image quality assessment based on multiple instance regression

Neurocomputing (Amsterdam), 2021-03, Vol.431, p.78-89

2021

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Stacked deformable convolution network with weighted non-local attention and branch residual connection for image quality assessment

Journal of visual communication and image representation, 2024-08, Vol.103, p.104214, Article 104214

2024

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Hierarchical prior-guided quality assessment method for underwater images

Displays, 2024-07, Vol.83, p.102729, Article 102729

2024

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Systemic distortion analysis with deep distortion directed image quality assessment models

Signal processing. Image communication, 2022-11, Vol.109, p.116870, Article 116870

2022

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Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models

Biomedical signal processing and control, 2023-04, Vol.82, p.104547, Article 104547

2023

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Research on deep learning in the field of mechanical equipment fault diagnosis image quality

Journal of visual communication and image representation, 2019-07, Vol.62, p.402-409

2019

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Deep Learning Based Image Quality Assessment: A Survey

Procedia computer science, 2023, Vol.221, p.1000-1005

2023

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Image quality assessment based on deep learning with FPGA implementation

Signal processing. Image communication, 2020-04, Vol.83, p.115780, Article 115780

2020

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Image quality assessment for advertising applications based on neural network

Journal of visual communication and image representation, 2019-08, Vol.63, p.102593, Article 102593

2019

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Quality-guided image classification toward information management applications

Journal of visual communication and image representation, 2019-08, Vol.63, p.102594, Article 102594

2019

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Image quality guided biology application for genetic analysis

Journal of visual communication and image representation, 2019-10, Vol.64, p.102606, Article 102606

2019

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Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques

Ecological informatics, 2023-09, Vol.76, p.102067, Article 102067

2023

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A hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5) over an indian city, lucknow

Atmospheric environment (1994), 2024-12, Vol.338, p.120798, Article 120798

2024

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Application of deep learning in aquatic bioassessment: Towards automated identification of non-biting midges

The Science of the total environment, 2020-04, Vol.711, p.135160-135160, Article 135160

2020

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Spatiotemporal informer: A new approach based on spatiotemporal embedding and attention for air quality forecasting

Environmental pollution (1987), 2023-11, Vol.336, p.122402-122402, Article 122402

2023

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Cross-modal image fusion guided by subjective visual attention

Neurocomputing (Amsterdam), 2020-11, Vol.414, p.333-345

2020

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Quality and content analysis of fundus images using deep learning

Computers in biology and medicine, 2019-05, Vol.108, p.317-331

2019

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Modular deep neural networks for automatic quality control of retinal optical coherence tomography scans

Computers in biology and medicine, 2022-02, Vol.141, p.104822-104822, Article 104822

2022

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QL-IQA: Learning distance distribution from quality levels for blind image quality assessment

RM-IQA: A new no-reference image quality assessment framework based on range mapping method

Image super-resolution: A comprehensive review, recent trends, challenges and applications

Blind image quality prediction by exploiting multi-level deep representations

DeepSim: Deep similarity for image quality assessment

Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement

Federated learning based nonlinear two-stage framework for full-reference image quality assessment: An application for biometric

Deep blind image quality assessment based on multiple instance regression

Stacked deformable convolution network with weighted non-local attention and branch residual connection for image quality assessment

Hierarchical prior-guided quality assessment method for underwater images

Systemic distortion analysis with deep distortion directed image quality assessment models

Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models

Research on deep learning in the field of mechanical equipment fault diagnosis image quality

Deep Learning Based Image Quality Assessment: A Survey

Image quality assessment based on deep learning with FPGA implementation

Image quality assessment for advertising applications based on neural network

Quality-guided image classification toward information management applications

Image quality guided biology application for genetic analysis

Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques

A hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5) over an indian city, lucknow

Application of deep learning in aquatic bioassessment: Towards automated identification of non-biting midges

Spatiotemporal informer: A new approach based on spatiotemporal embedding and attention for air quality forecasting

Cross-modal image fusion guided by subjective visual attention

Quality and content analysis of fundus images using deep learning

Modular deep neural networks for automatic quality control of retinal optical coherence tomography scans

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