Results 51 to 60 of about 402 (155)
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 +12 more
wiley +1 more source
Computational intelligence for road pavement condition assessment: a deep learning perspective
Pavement defects such as cracks and potholes compromise road safety and demand timely maintenance. Traditional manual inspection is slow and exposes workers to safety risks, whereas automated systems offer a promising alternative.
Yu Hu +3 more
doaj +1 more source
Automatic Concrete Crack Identification Based on Lightweight Embedded U-Net
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 +3 more
doaj +1 more source
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges +4 more
wiley +1 more source
LMD_YOLO: A Lightweight and Efficient Model for Pavement Defects Detection
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
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
Sidewalk Elevation Barrier Detection Using a 2D LiDAR Scanner
While Pavement Management Systems are commonly used for effective roadway inspection and maintenance, similarly efficient solutions for sidewalk assessment remain underdeveloped. This study introduces a semi-automated method for sidewalk evaluation based
Pavel Kukuliac +9 more
doaj +1 more source
Traditional light‐analyzing tools, known as spectrometers, are typically too bulky and expensive to fit into portable electronics like smartphones or wearables. In this study, we developed a microscopic, high‐performance spectrometer using a material called Indium Selenide combined with smart algorithms to accurately analyze light from the visible to ...
Jing Chen +8 more
wiley +1 more source
Navigating AI Convergence in Human–Artificial Intelligence Teams: A Signaling Theory Approach
ABSTRACT Teams that combine human intelligence with artificial intelligence (AI) have become indispensable for solving complex tasks in various decision‐making contexts in modern organizations. However, the factors that contribute to AI convergence, where human team members align their decisions with those of their AI counterparts, still remain unclear.
Andria Smith +3 more
wiley +1 more source
Pavement crack detection plays a vital role in maintaining road infrastructure, yet traditional manual inspection methods are time-consuming, error-prone and inefficient at scale. Existing deep learning approaches often struggle with discontinuous cracks,
Rizwan Ullah +4 more
doaj +1 more source

