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Object scale selection of hierarchical image segmentation with deep seeds

IET image processing, 2021-01, Vol.15 (1), p.191-205

2021

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Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions

IET image processing, 2023-01, Vol.17 (1), p.239-255

2023

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Weakly supervised building semantic segmentation via superpixel‐CRF with initial deep seeds guiding

IET image processing, 2022-10, Vol.16 (12), p.3258-3267

2022

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Deep learning myocardial infarction segmentation framework from cardiac magnetic resonance images

Biomedical signal processing and control, 2024-03, Vol.89, p.105710, Article 105710

2024

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Asymptomatic carriage of Streptococcus pyogenes among school children in Sana'a city, Yemen

BMC research notes, 2019-06, Vol.12 (1), p.339-339, Article 339

2019

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Nasal Carriage and Methicillin Resistance of Staphylococcus aureus among Schoolchildren in Sana’a City, Yemen

International journal of microbiology, 2021, Vol.2021, p.5518317-6

2021

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Development of a Novel Prediction Model for Interface Shear Strength in Asphalt Pavement Using the CART Model

KSCE Journal of Civil Engineering, 2024, 28(8), , pp.3246-3256

2024

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PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction

Alexandria engineering journal, 2023-09, Vol.78, p.406-418

2023

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End-to-end semi-supervised deep learning model for surface crack detection of infrastructures

Frontiers in materials, 2022-12, Vol.9

2022

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FedAGAT: Real-time traffic flow prediction based on federated community and adaptive graph attention network

Information sciences, 2024-05, Vol.667, p.120482, Article 120482

2024

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An overview of edge and object contour detection

Neurocomputing (Amsterdam), 2022-06, Vol.488, p.470-493

2022

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A hybrid deep learning pavement crack semantic segmentation

Engineering applications of artificial intelligence, 2023-06, Vol.122, p.106142, Article 106142

2023

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Multi-scale region composition of hierarchical image segmentation

Multimedia tools and applications, 2020-11, Vol.79 (43-44), p.32833-32855

2020

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Improvement of an Industrial Robotic Flaw Detection System

IEEE transactions on automation science and engineering, 2022-10, Vol.19 (4), p.3953-3967

2022

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FedGODE: Secure traffic flow prediction based on federated learning and graph ordinary differential equation networks

Knowledge-based systems, 2024-09, Vol.299, p.112029, Article 112029

2024

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FastPicker: Adaptive independent two-stage video-to-video summarization for efficient action recognition

Neurocomputing (Amsterdam), 2023-01, Vol.516, p.231-244

2023

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Weakly supervised pavement crack semantic segmentation based on multi-scale object localization and incremental annotation refinement

Applied intelligence (Dordrecht, Netherlands), 2023-06, Vol.53 (11), p.14527-14546

2023

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Transformer-based thin crack segmentation: an efficient multiscale approach for automatic visual inspection

Signal, image and video processing, 2024-08

2024

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Stevens‐Johnson syndrome/toxic epidermal necrolysis in Jewish and Arab populations

Epilepsia (Copenhagen), 2018-07, Vol.59 (7), p.1469-1470

2018

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Evaluation and prediction of interface fatigue performance between asphalt pavement layers: application of supervised machine learning techniques

The international journal of pavement engineering, 2024-12, Vol.25 (1)

2024

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Development of prediction models for interlayer shear strength in asphalt pavement using machine learning and SHAP techniques

Road materials and pavement design, 2024-08, Vol.25 (8), p.1720-1738

2024

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A new synergy of singular spectrum analysis with a conscious algorithm to detect faults in industrial robotics

Neural computing & applications, 2022-05, Vol.34 (10), p.7565-7580

2022

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Asymmetric dual-decoder-U-Net for pavement crack semantic segmentation

Automation in construction, 2023-12, Vol.156, p.105138, Article 105138

2023

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FeatureGAN: Combining GAN and Autoencoder for Pavement Crack Image Data Augmentations

International journal of image, graphics and signal processing, 2022-10, Vol.14 (5), p.28-43

2022

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Weakly supervised semantic segmentation by iteratively refining optimal segmentation with deep cues guidance

Neural computing & applications, 2021-08, Vol.33 (15), p.9035-9060

2021

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Object scale selection of hierarchical image segmentation with deep seeds

Weakly supervised skin lesion segmentation based on spot‐seeds guided optimal regions

Weakly supervised building semantic segmentation via superpixel‐CRF with initial deep seeds guiding

Deep learning myocardial infarction segmentation framework from cardiac magnetic resonance images

Asymptomatic carriage of Streptococcus pyogenes among school children in Sana'a city, Yemen

Nasal Carriage and Methicillin Resistance of Staphylococcus aureus among Schoolchildren in Sana’a City, Yemen

Development of a Novel Prediction Model for Interface Shear Strength in Asphalt Pavement Using the CART Model

PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction

End-to-end semi-supervised deep learning model for surface crack detection of infrastructures

FedAGAT: Real-time traffic flow prediction based on federated community and adaptive graph attention network

An overview of edge and object contour detection

A hybrid deep learning pavement crack semantic segmentation

Multi-scale region composition of hierarchical image segmentation

Improvement of an Industrial Robotic Flaw Detection System

FedGODE: Secure traffic flow prediction based on federated learning and graph ordinary differential equation networks

FastPicker: Adaptive independent two-stage video-to-video summarization for efficient action recognition

Weakly supervised pavement crack semantic segmentation based on multi-scale object localization and incremental annotation refinement

Transformer-based thin crack segmentation: an efficient multiscale approach for automatic visual inspection

Stevens‐Johnson syndrome/toxic epidermal necrolysis in Jewish and Arab populations

Evaluation and prediction of interface fatigue performance between asphalt pavement layers: application of supervised machine learning techniques

Development of prediction models for interlayer shear strength in asphalt pavement using machine learning and SHAP techniques

A new synergy of singular spectrum analysis with a conscious algorithm to detect faults in industrial robotics

Asymmetric dual-decoder-U-Net for pavement crack semantic segmentation

FeatureGAN: Combining GAN and Autoencoder for Pavement Crack Image Data Augmentations

Weakly supervised semantic segmentation by iteratively refining optimal segmentation with deep cues guidance

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