Results 31 to 40 of about 4,563 (291)

IMPACT OF IMAGE RESOLUTION ON PAVEMENT DISTRESS DETECTION USING PICUCHA METHODOLOGY [PDF]

open access: yesCivil Engineering Journal, 2016
An accurate and regular survey of the road surface distresses is a key factor for pavement rehabilitation design and management, allowing public managers to maximize the value of the continuously limited budgets for road improvements and maintenance ...
Reus Salini, Bugao Xu, Mena Souliman
doaj   +1 more source

Unmanned aerial vehicle implementation for pavement condition survey

open access: yesTransportation Engineering, 2023
The Utilization of Unmanned Aerial Vehicle (UAV) as a vehicle for comprehensive and fast road condition data acquisition is expected to minimize or even replace conventional road condition surveys in the field.
Yackob Astor   +5 more
doaj   +1 more source

Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3 on Pavements in the Philippines

open access: yesCoRR, 2021
Road transport infrastructure is critical for safe, fast, economical, and reliable mobility within the whole country that is conducive to a productive society. However, roads tend to deteriorate over time due to natural causes in the environment and repeated traffic loads.
openaire   +2 more sources

EVALUATION PAVEMENT DISTRESSES USING PAVEMENT CONDITION INDEX [PDF]

open access: yes, 2011
Pavement deterioration is resulted by both environmental and structural causes. It is difficult to maintain the road on the same specification that was owned at the opening and problems start to appear represented in the pavement cracks, holes and ...
ZALTUOM, ALI MOHAMED ALI   +2 more
core  

A Dual‐Bioresponsive and Programmable Microneedle Matrix as a Bioinspired Coupler for Orchestrating Diabetic Bone Regeneration

open access: yesAdvanced Materials, EarlyView.
This project developed a smart bandage‐like patch (a microneedle array) for repairing diabetic bone damage. It intelligently senses signals from infection and inflammation, then releases its medicines in a specific, timed sequence: first an antibacterial agent, then an anti‐inflammatory agent, and finally growth factors.
Yu Wang   +10 more
wiley   +1 more source

Development of In-Situ Detection Methods for Materials-Related Distress (MRD) in Concrete Pavements, July 2003 [PDF]

open access: yes, 2003
The purpose of this research was to summarize existing nondestructive test methods that have the potential to be used to detect materials-related distress (MRD) in concrete pavements.

core  

Fine-Grained Detection of Pavement Distress Based on Integrated Data Using Digital Twin

open access: yesApplied Sciences, 2023
The automated detection of distress such as cracks or potholes is a key basis for assessing the condition of pavements and deciding on their maintenance.
Weidong Wang   +4 more
doaj   +1 more source

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

open access: yesAdvanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le   +4 more
wiley   +1 more source

MEPDG Work Plan Task No. 7: Existing Pavement Input Information for the Mechanistic-Empirical Pavement Design Guide, 2009 [PDF]

open access: yes, 2009
The objective of this study is to systematically evaluate the Iowa Department of Transportation’s (DOT’s) existing Pavement Management Information System (PMIS) with respect to the input information required for Mechanistic-Empirical Pavement Design ...

core  

Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images

open access: yesSensors, 2021
Automated pavement distress recognition is a key step in smart infrastructure assessment. Advances in deep learning and computer vision have improved the automated recognition of pavement distresses in road surface images.
Elham Eslami, Hae-Bum Yun
doaj   +1 more source

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