Research graph
References from Knowledge-oriented super-resolution enhancement for underwater dam crack images via lightweight u-net generator. Local targets link to admitted publications; unresolved targets remain external evidence.
Effects of pre-existing fissure properties on the failure mechanisms of gravity dam-shaped specimens: Insights from 3D printing experiments and DEM simulations
10.1016/j.tafmec.2026.105626 · 2026 · External reference
Modeling the rock frost cracking processes using an improved ice–stress–damage coupling method
10.1016/j.tafmec.2024.104421 · 2024 · External reference
Automated underwater concrete crack width measurement system based on dual lasers and DeepCrack network
10.1016/j.aei.2025.103713 · 2025 · External reference
Enhancement of underwater dam crack images using multi-feature fusion
10.1016/j.autcon.2024.105727 · 2024 · External reference
Underwater crack pixel-wise identification and quantification for dams via lightweight semantic segmentation and transfer learning
10.1016/j.autcon.2022.104600 · 2022 · External reference
A framework for automatic real-time pixel-level segmentation of underwater dam concrete cracks utilizing the CRTransU-Net model
10.1016/j.aei.2025.103415 · 2025 · External reference
CNN-Transformer hybrid network for concrete dam crack patrol inspection
10.1016/j.autcon.2024.105440 · 2024 · External reference
Real-time damage detection in dams using remotely operated vehicle equipped with sonar and you only look once network
10.1016/j.aei.2025.103957 · 2026 · External reference
Remotely operated vehicle (ROV) underwater vision-based micro-crack inspection for concrete dams using a customizable CNN framework
10.1016/j.autcon.2025.106102 · 2025 · External reference
Automated detection of underwater dam damage using remotely operated vehicles and deep learning technologies
10.1016/j.autcon.2025.105971 · 2025 · External reference
Recent advancement of concrete dam health monitoring technology: A systematic literature review
10.1016/j.istruc.2022.08.021 · 2022 · External reference
A missing sensor measurement data reconstruction framework powered by multi-task Gaussian process regression for dam structural health monitoring systems
10.1016/j.measurement.2021.110085 · 2021 · External reference
Multi-objective shape optimization method for underwater dam defect detection ROV based on response surface model and NSGA-Ⅲ algorithm
10.1016/j.oceaneng.2025.123614 · 2026 · External reference
3D reconstruction and optimization system for underwater dam surface based on modified SfM and neural radiation fields
10.1016/j.aei.2025.103683 · 2025 · External reference
Underwater dam surface image enhancement method based on multi-feature fusion and expert collaborative learning
10.1016/j.aei.2025.104106 · 2026 · External reference
SFUDNet: Underwater object detection via spatial-frequency domain modulation with mixture of experts
10.1016/j.knosys.2025.113805 · 2025 · External reference
Multi-condition dam crack segmentation based on a novel lightweight CEE-YOLO model
10.1016/j.aei.2025.103697 · 2025 · External reference
The lightweight CS-YOLO model applied for concrete crack segmentation
2025 · External reference
AI-driven computer vision-based automated repair activity identification for seismically damaged RC columns
10.1016/j.autcon.2024.105959 · 2025 · External reference
Multi-feature driven seismic damage state identification for reinforced concrete shear walls using computer vision and machine learning
10.1016/j.advengsoft.2024.103796 · 2025 · External reference
Data-driven crack image-based seismic failure mode identification for damaged RC columns
10.1016/j.engfailanal.2024.108160 · 2024 · External reference
An underwater dam crack image segmentation method based on multi-level adversarial transfer learning
10.1016/j.neucom.2022.07.036 · 2022 · External reference
Underwater dam crack image enhancement and crack detection based on improved diffusion model and SDI-ASF-YOLO11
10.1016/j.conbuildmat.2025.142861 · 2025 · External reference
Embedding local contrast measure in underwater imaging model for efficient underwater image enhancement
10.1016/j.eswa.2025.130387 · 2026 · External reference
A unified total variation method for underwater image enhancement
10.1016/j.knosys.2022.109751 · 2022 · External reference
Degradation-aware and color-corrected network for underwater image enhancement
10.1016/j.knosys.2022.109997 · 2022 · External reference
Underwater dam crack image generation based on unsupervised image-to-image translation
10.1016/j.autcon.2024.105430 · 2024 · External reference
Adaptive deep learning framework for robust unsupervised underwater image enhancement
10.1016/j.eswa.2024.126314 · 2025 · External reference
Underwater concrete crack detection of dams via CycleGAN-based data enhancement and optimized multi-scale YOLO11
10.1016/j.conbuildmat.2026.145497 · 2026 · External reference
CADFA-Net: Collaborative attention and dual-domain feature aggregation network for underwater dam crack segmentation
10.1016/j.eswa.2026.132820 · 2026 · External reference
Unsupervised learning method for underwater concrete crack image enhancement and augmentation based on cross domain translation strategy
10.1016/j.engappai.2024.108884 · 2024 · External reference
UIEC2-Net: CNN-based underwater image enhancement using two color space
10.1016/j.image.2021.116250 · 2021 · External reference
A real-time detection model for underwater dam cracks via machine vision
2026 · External reference
Contrast limited adaptive histogram equalization
1994 · External reference
Image enhancement by histogram transformation
10.1016/s0146-664x(77)80011-7 · 1977 · External reference
Fusion of multiscale gradient domain enhancement and gamma correction for underwater image/video enhancement and restoration
10.1016/j.optlaseng.2024.108154 · 2024 · External reference
Underwater image enhancement by wavelength compensation and dehazing
10.1109/tip.2011.2179666 · 2012 · External reference
Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior
10.1109/tip.2016.2612882 · 2016 · External reference
10.1109/iccvw.2013.113
10.1109/iccvw.2013.113 · External reference
10.1007/978-3-030-00776-8_62
10.1007/978-3-030-00776-8_62 · External reference
Unresolved reference
2017 · External reference
An enhanced 3D model and generative adversarial network for automated generation of horizontal building mask images and cloudless aerial photographs
10.1016/j.aei.2021.101380 · 2021 · External reference
WaterGAN: Unsupervised generative network to enable real-time color correction of monocular underwater images
2018 · External reference
Multi-scale adversarial network for underwater image restoration
10.1016/j.optlastec.2018.05.048 · 2019 · External reference
Single image dehazing with an independent detail-recovery network
10.1016/j.knosys.2022.109579 · 2022 · External reference
Lightweight image super-resolution with enhanced CNN
10.1016/j.knosys.2020.106235 · 2020 · External reference
Towards context-aware convolutional network for image restoration
10.1016/j.knosys.2025.113579 · 2025 · External reference
An underwater image enhancement benchmark dataset and beyond
10.1109/tip.2019.2955241 · 2020 · External reference
Underwater scene prior inspired deep underwater image and video enhancement
10.1016/j.patcog.2019.107038 · 2020 · External reference
Underwater dam image enhancement based on CNN-transformer fusion
2025 · External reference
ReX-Net: A reflectance-guided underwater image enhancement network for extreme scenarios
10.1016/j.eswa.2023.120842 · 2023 · External reference
Automatic and time-resolved determination of fracture characteristics from in situ experiments
10.1016/j.matdes.2024.113038 · 2024 · External reference
Reconfigurable image processing metasurfaces with phase-change materials
10.1038/s41467-024-48783-3 · 2024 · External reference
Frequency domain-based latent diffusion model for underwater image enhancement
10.1016/j.patcog.2024.111198 · 2025 · External reference
A computational approach to edge detection
10.1109/tpami.1986.4767851 · 1986 · External reference
SDNET2018: A concrete crack image dataset for machine learning applications
2018 · External reference
10.1007/978-3-030-00776-8_62
10.1007/978-3-030-00776-8_62 · ExternalCitation · doi-reference
Multi-feature driven seismic damage state identification for reinforced concrete shear walls using computer vision and machine learning
10.1016/j.advengsoft.2024.103796 · ExternalCitation · doi-reference
An enhanced 3D model and generative adversarial network for automated generation of horizontal building mask images and cloudless aerial photographs
10.1016/j.aei.2021.101380 · ExternalCitation · doi-reference
A framework for automatic real-time pixel-level segmentation of underwater dam concrete cracks utilizing the CRTransU-Net model
10.1016/j.aei.2025.103415 · ExternalCitation · doi-reference
3D reconstruction and optimization system for underwater dam surface based on modified SfM and neural radiation fields
10.1016/j.aei.2025.103683 · ExternalCitation · doi-reference
Multi-condition dam crack segmentation based on a novel lightweight CEE-YOLO model
10.1016/j.aei.2025.103697 · ExternalCitation · doi-reference
Automated underwater concrete crack width measurement system based on dual lasers and DeepCrack network
10.1016/j.aei.2025.103713 · ExternalCitation · doi-reference
Real-time damage detection in dams using remotely operated vehicle equipped with sonar and you only look once network
10.1016/j.aei.2025.103957 · ExternalCitation · doi-reference
Underwater dam surface image enhancement method based on multi-feature fusion and expert collaborative learning
10.1016/j.aei.2025.104106 · ExternalCitation · doi-reference
Underwater crack pixel-wise identification and quantification for dams via lightweight semantic segmentation and transfer learning
10.1016/j.autcon.2022.104600 · ExternalCitation · doi-reference
Underwater dam crack image generation based on unsupervised image-to-image translation
10.1016/j.autcon.2024.105430 · ExternalCitation · doi-reference
CNN-Transformer hybrid network for concrete dam crack patrol inspection
10.1016/j.autcon.2024.105440 · ExternalCitation · doi-reference
Enhancement of underwater dam crack images using multi-feature fusion
10.1016/j.autcon.2024.105727 · ExternalCitation · doi-reference
AI-driven computer vision-based automated repair activity identification for seismically damaged RC columns
10.1016/j.autcon.2024.105959 · ExternalCitation · doi-reference
Automated detection of underwater dam damage using remotely operated vehicles and deep learning technologies
10.1016/j.autcon.2025.105971 · ExternalCitation · doi-reference
Remotely operated vehicle (ROV) underwater vision-based micro-crack inspection for concrete dams using a customizable CNN framework
10.1016/j.autcon.2025.106102 · ExternalCitation · doi-reference
Underwater dam crack image enhancement and crack detection based on improved diffusion model and SDI-ASF-YOLO11
10.1016/j.conbuildmat.2025.142861 · ExternalCitation · doi-reference
Underwater concrete crack detection of dams via CycleGAN-based data enhancement and optimized multi-scale YOLO11
10.1016/j.conbuildmat.2026.145497 · ExternalCitation · doi-reference
Unsupervised learning method for underwater concrete crack image enhancement and augmentation based on cross domain translation strategy
10.1016/j.engappai.2024.108884 · ExternalCitation · doi-reference
Data-driven crack image-based seismic failure mode identification for damaged RC columns
10.1016/j.engfailanal.2024.108160 · ExternalCitation · doi-reference
ReX-Net: A reflectance-guided underwater image enhancement network for extreme scenarios
10.1016/j.eswa.2023.120842 · ExternalCitation · doi-reference
Adaptive deep learning framework for robust unsupervised underwater image enhancement
10.1016/j.eswa.2024.126314 · ExternalCitation · doi-reference
Embedding local contrast measure in underwater imaging model for efficient underwater image enhancement
10.1016/j.eswa.2025.130387 · ExternalCitation · doi-reference
CADFA-Net: Collaborative attention and dual-domain feature aggregation network for underwater dam crack segmentation
10.1016/j.eswa.2026.132820 · ExternalCitation · doi-reference
UIEC2-Net: CNN-based underwater image enhancement using two color space
10.1016/j.image.2021.116250 · ExternalCitation · doi-reference
Recent advancement of concrete dam health monitoring technology: A systematic literature review
10.1016/j.istruc.2022.08.021 · ExternalCitation · doi-reference
Lightweight image super-resolution with enhanced CNN
10.1016/j.knosys.2020.106235 · ExternalCitation · doi-reference
Single image dehazing with an independent detail-recovery network
10.1016/j.knosys.2022.109579 · ExternalCitation · doi-reference
A unified total variation method for underwater image enhancement
10.1016/j.knosys.2022.109751 · ExternalCitation · doi-reference
Degradation-aware and color-corrected network for underwater image enhancement
10.1016/j.knosys.2022.109997 · ExternalCitation · doi-reference
Towards context-aware convolutional network for image restoration
10.1016/j.knosys.2025.113579 · ExternalCitation · doi-reference
SFUDNet: Underwater object detection via spatial-frequency domain modulation with mixture of experts
10.1016/j.knosys.2025.113805 · ExternalCitation · doi-reference
Automatic and time-resolved determination of fracture characteristics from in situ experiments
10.1016/j.matdes.2024.113038 · ExternalCitation · doi-reference
A missing sensor measurement data reconstruction framework powered by multi-task Gaussian process regression for dam structural health monitoring systems
10.1016/j.measurement.2021.110085 · ExternalCitation · doi-reference
An underwater dam crack image segmentation method based on multi-level adversarial transfer learning
10.1016/j.neucom.2022.07.036 · ExternalCitation · doi-reference
Multi-objective shape optimization method for underwater dam defect detection ROV based on response surface model and NSGA-Ⅲ algorithm
10.1016/j.oceaneng.2025.123614 · ExternalCitation · doi-reference
Fusion of multiscale gradient domain enhancement and gamma correction for underwater image/video enhancement and restoration
10.1016/j.optlaseng.2024.108154 · ExternalCitation · doi-reference
Multi-scale adversarial network for underwater image restoration
10.1016/j.optlastec.2018.05.048 · ExternalCitation · doi-reference
Underwater scene prior inspired deep underwater image and video enhancement
10.1016/j.patcog.2019.107038 · ExternalCitation · doi-reference
Frequency domain-based latent diffusion model for underwater image enhancement
10.1016/j.patcog.2024.111198 · ExternalCitation · doi-reference
Modeling the rock frost cracking processes using an improved ice–stress–damage coupling method
10.1016/j.tafmec.2024.104421 · ExternalCitation · doi-reference
Effects of pre-existing fissure properties on the failure mechanisms of gravity dam-shaped specimens: Insights from 3D printing experiments and DEM simulations
10.1016/j.tafmec.2026.105626 · ExternalCitation · doi-reference
Image enhancement by histogram transformation
10.1016/s0146-664x(77)80011-7 · ExternalCitation · doi-reference
Reconfigurable image processing metasurfaces with phase-change materials
10.1038/s41467-024-48783-3 · ExternalCitation · doi-reference
10.1109/iccvw.2013.113
10.1109/iccvw.2013.113 · ExternalCitation · doi-reference
Underwater image enhancement by wavelength compensation and dehazing
10.1109/tip.2011.2179666 · ExternalCitation · doi-reference
Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior
10.1109/tip.2016.2612882 · ExternalCitation · doi-reference
An underwater image enhancement benchmark dataset and beyond
10.1109/tip.2019.2955241 · ExternalCitation · doi-reference
A computational approach to edge detection
10.1109/tpami.1986.4767851 · ExternalCitation · doi-reference
