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Niannian Wang
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2020 – today
- 2024
- [j19]Niannian Wang
, Zexi Zhang
Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8. IEEE Access 12: 25888-25905 (2024) - [j18]Niannian Wang
Corrections to "Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8". IEEE Access 12: 41798-41800 (2024) - [j17]Niannian Wang
Advanced YOLO-DeepSort-Based System for Drainage Pipeline Defects Intelligent Detection. IEEE Access 12: 145857-145870 (2024) - [j16]Jiaxiu Dong, Niannian Wang
Automatic augmentation and segmentation system for three-dimensional point cloud of pavement potholes by fusion convolution and transformer. Adv. Eng. Informatics 60: 102378 (2024) - [j15]Jiaxiu Dong, Niannian Wang, Hongyuan Fang, Wentong Guo, Bin Li, Kejie Zhai:
MFAFNet: An innovative crack intelligent segmentation method based on multi-layer feature association fusion network. Adv. Eng. Informatics 62: 102584 (2024) - [j14]Jiaxiu Dong
CBAM-Optimized Automatic Segmentation and Reconstruction System for Monocular Images With Asphalt Pavement Potholes. IEEE Trans. Intell. Transp. Syst. 25(8): 10313-10330 (2024) - 2023
- [j13]Niannian Wang
Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost. IEEE Access 11: 116452-116471 (2023) - [j12]Duo Ma, Hongyuan Fang, Niannian Wang
Transformer-optimized generation, detection, and tracking network for images with drainage pipeline defects. Comput. Aided Civ. Infrastructure Eng. 38(15): 2109-2127 (2023) - [j11]Niannian Wang
A Transformer-Optimized Deep Learning Network for Road Damage Detection and Tracking. Sensors 23(17): 7395 (2023) - [j10]Niannian Wang
A Pipeline Defect Instance Segmentation System Based on SparseInst. Sensors 23(22): 9019 (2023) - 2022
- [j9]Haobang Hu
A Study of Automatic Recognition and Localization of Pipeline for Ground Penetrating Radar Based on Deep Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j8]Duo Ma
Automatic Detection and Counting System for Pavement Cracks Based on PCGAN and YOLO-MF. IEEE Trans. Intell. Transp. Syst. 23(11): 22166-22178 (2022) - 2021
- [j7]Jiaxiu Dong
Pixel-Level Intelligent Segmentation and Measurement Method for Pavement Multiple Damages Based on Mobile Deep Learning. IEEE Access 9: 143860-143876 (2021) - [j6]Songya Ma
Hierarchical remote preparation of an arbitrary two-qubit state with multiparty. Quantum Inf. Process. 20(8): 1-29 (2021) - 2020
- [j5]Niannian Wang
Autonomous damage segmentation and measurement of glazed tiles in historic buildings via deep learning. Comput. Aided Civ. Infrastructure Eng. 35(3): 277-291 (2020) - [j4]Shushi Gu
Intelligent Optimization of Availability and Communication Cost in Satellite-UAV Mobile Edge Caching System With Fault-Tolerant Codes. IEEE Trans. Cogn. Commun. Netw. 6(4): 1230-1241 (2020)
2010 – 2019
- 2019
- [j3]Shushi Gu
DR-MDS: An Energy-Efficient Coding Scheme in D2D Distributed Storage Network for the Internet of Things. IEEE Access 7: 24179-24191 (2019) - [c3]Niannian Wang, Ye Wang, Shushi Gu, Qinyu Zhang
Adaptive Data Storage System for Mobile Satellite-Terrestrial IoT. ICCC 2019: 106-111 - 2018
- [j2]Niannian Wang
Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images. Comput. Aided Civ. Infrastructure Eng. 33(12): 1073-1089 (2018) - [c2]Niannian Wang, Ye Wang, Jia Yu, Siyun Chen:
Multi-node Repair Based on GA_PSO with Fractional Regenerating Code Combined with Prior Replication. CSPS (3) 2018: 252-260 - [c1]Siyun Chen, Ye Wang, Jia Yu, Yan Yan, Niannian Wang:
Joint Cooperation Set Selection and Resource Allocation of JT CoMP in Ultra Dense Network. CSPS (1) 2018: 359-366 - 2017
- [j1]Xuefeng Zhao
Experimental Verification for Cable Force Estimation Using Handheld Shooting of Smartphones. J. Sensors 2017: 5625396:1-5625396:13 (2017)
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