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Road Damage Detection

International Journal on Science and Technology
Damages to road pavements have massive impacts on driving comfort, endanger safety, and can result in accidents. Traditional approaches to detecting damage, including hand inspection and mounted sensors, are not suitable for monitoring large areas. An alternative solution is to use street-view as a comparatively cheap option that offers current road ...
Alekhya N, Madhumitha K
semanticscholar   +3 more sources

RDD2022: A multi‐national image dataset for automatic road damage detection [PDF]

Geoscience Data Journal, 2022
The data article describes the Road Damage Dataset, RDD2022, encompassing of 47,420 road images from majorly six countries, Japan, India, the Czech Republic, Norway, the United States, and China.
Deeksha M. Arya, Hiroya Maeda, S. Ghosh, Durga Toshniwal, Yoshihide Sekimoto Indian Institute of Technology Roorkee, India, T. U. O. Tokyo, Japan., UrbanX Technologies, Inc., Tokyo   +10 more
semanticscholar   +1 more source

Developing the Application of Strain Energy Spectrum in the Health Monitoring of Steel Resistance Frame Structures [PDF]

Journal of Structural and Construction Engineering, 2021
Structures are subjected to different kinds of loads during their lifetime, such as those caused by daily temperature swings, traffic loads, abrasion and severe loads like earthquake.
Gholamreza Nouri, Mohammad Shahrabi, S.H. Lavasani   +2 more
doaj   +1 more source

CarDD: A New Dataset for Vision-Based Car Damage Detection [PDF]

IEEE transactions on intelligent transportation systems (Print), 2022
Automatic car damage detection has attracted significant attention in the car insurance business. However, due to the lack of high-quality and publicly available datasets, we can hardly learn a feasible model for car damage detection.
Xinkuang Wang, Wenjing Li, Zhongcheng Wu
semanticscholar   +1 more source

MiRNA-Based Therapies for Lung Cancer: Opportunities and Challenges?

Biomolecules, 2023
Lung cancer is a commonly diagnosed cancer and the leading cause of cancer-related deaths, posing a serious health risk. Despite new advances in immune checkpoint and targeted therapies in recent years, the prognosis for lung cancer patients, especially ...
Han Yang, Yufang Liu, Longqing Chen, Juanjuan Zhao, Mengmeng Guo, Xu Zhao, Zhenke Wen, Zhixu He, Chao Chen, Lin Xu   +9 more
doaj   +1 more source

The lncRNAs involved in regulating the RIG-I signaling pathway

Frontiers in Cellular and Infection Microbiology, 2022
Understanding the targets and interactions of long non-coding RNAs (lncRNAs) related to the retinoic acid-inducible gene-I (RIG-I) signaling pathway is essential for developing interventions, which would enable directing the host inflammatory response ...
Jing Liu, Qinglu Ji, Feng Cheng, Dengwang Chen, Tingting Geng, Yueyue Huang, Jidong Zhang, Jidong Zhang, Jidong Zhang, Yuqi He, Tao Song, Tao Song, Tao Song   +12 more
doaj   +1 more source

Let-7 as a Promising Target in Aging and Aging-Related Diseases: A Promise or a Pledge

Biomolecules, 2022
The abnormal regulation and expression of microRNA (miRNA) are closely related to the aging process and the occurrence and development of aging-related diseases. Lethal-7 (let-7) was discovered in Caenorhabditis elegans (C.
Ya Wang, Juanjuan Zhao, Shipeng Chen, Dongmei Li, Jing Yang, Xu Zhao, Ming Qin, Mengmeng Guo, Chao Chen, Zhixu He, Ya Zhou, Lin Xu   +11 more
doaj   +1 more source

Automated Road Damage Detection Using UAV Images and Deep Learning Techniques

IEEE Access, 2023
This paper presents a novel automated road damage detection approach using Unmanned Aerial Vehicle (UAV) images and deep learning techniques. Maintaining road infrastructure is critical for ensuring a safe and sustainable transportation system.
Luís Augusto Silva, V. Leithardt, Vivian Félix López Batista, Gabriel Villarrubia González, J. F. de Paz Santana   +4 more
semanticscholar   +1 more source

Akkermansia muciniphila: A potential target and pending issues for oncotherapy

Pharmacological Research, 2023
In the wake of the development of metagenomic, metabolomic, and metatranscriptomic approaches, the intricate interactions between the host and various microbes are now being progressively understood.
Xu Zhao, Juanjuan Zhao, Dongmei Li, Han Yang, Chao Chen, Ming Qin, Zhenke Wen, Zhixu He, Lin Xu   +8 more
doaj   +1 more source

Acoustic-Signal-Based Damage Detection of Wind Turbine Blades—A Review

Italian National Conference on Sensors, 2023
Monitoring and maintaining the health of wind turbine blades has long been one of the challenges facing the global wind energy industry. Detecting damage to a wind turbine blade is important for planning blade repair, avoiding aggravated blade damage ...
Shaohu Ding, Chenchen Yang, Sen Zhang
semanticscholar   +1 more source