Results 61 to 70 of about 9,836 (188)

2D copper nanozyme patches facilitate bone regeneration via interfacial modulation of osteoclast‐osteoblast dynamics

BMEMat, EarlyView.
This study develops a nano‐enzyme patch (ezPatch) targeting bone interfaces. Utilizing ligand‐to‐metal charge transfer (LMCT) catalysis and bone‐targeting ligands on copper nanosheets, ezPatch simultaneously scavenges reactive oxygen species (ROS) and generates oxygen in situ at bone‐losing sites.
Yi Chen, Haoyue Hu, Danyang Wang, Ying Wang, Zhibang Li, Xiaoyi Liu, Yandi Zhang, Junkun Feng, Weiwei Zhao, Kai Li, Qi‐Zhi Zhong, Shaohua Ge, Jianhua Li   +12 more
wiley   +1 more source

AI-Based Automated Visual Condition Assessment of Municipal Road Infrastructure Using High-Resolution 3D Street-Level Imagery

Infrastructures
The effective management of municipal road infrastructure requires up-to-date, standardized and reliable condition information to support sustainable maintenance.
Elia Ferrari, Jonas Meyer, Stephan Nebiker   +2 more
doaj   +1 more source

Parking Camera Calibration for Assisting Automated Road Defect Detection [PDF]

, 2016
This is the author accepted manuscript. It is currently under an indefinite embargo pending publication by Osaka University.Accurate and timely information is essential for efficient road maintenance planning.
Brilakis, Ioannis, Radopoulou, Stefania C   +1 more
core   +1 more source

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

Civil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil, Dimosthenis Kifokeris, Panagiotis Spyridis   +2 more
wiley   +1 more source

ETAFHrNet: A Transformer-Based Multi-Scale Network for Asymmetric Pavement Crack Segmentation

Applied Sciences
Accurate segmentation of pavement cracks from high-resolution remote sensing imagery plays a crucial role in automated road condition assessment and infrastructure maintenance.
Chao Tan, Jiaqi Liu, Zhedong Zhao, Rufei Liu, Peng Tan, Aishu Yao, Shoudao Pan, Jingyi Dong   +7 more
doaj   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source

Automatic Concrete Crack Identification Based on Lightweight Embedded U-Net

IEEE Access
Crack inspection is a routine practice in maintaining and monitoring civil infrastructure. Traditional inspection methods are time-consuming, raise safety-concerning, and impose significant cost on stakeholders. Fast and accurate concrete crack detection
Baoxian Li, Hongbin Guo, Zhanfei Wang, Fengchi Wang   +3 more
doaj   +1 more source

Technology News, October-December, 2013 [PDF]

, 2013
Technology News is a newsletter produced by the Iowa Department of Transportation to provide information to the transportation specialist in Iowa's cities and counties.

core  

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

LMD_YOLO: A Lightweight and Efficient Model for Pavement Defects Detection

IEEE Access
Pavement defects detection is vital for ensuring safety and extending infrastructure lifespan. Traditional manual inspection methods are inefficient and insufficient for the increasing demand for road maintenance.
Shuai He, Ye Yuan, Bingyang Yin
doaj   +1 more source