Results 151 to 160 of about 91,476 (263)

On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment. [PDF]

open access: yesSensors (Basel), 2022
Dahmouni NEI   +6 more
europepmc   +1 more source

Digital Product Passports in Fashion: A Strategic Framework for Implementation

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates the role of the Digital Product Passport (DPP) in promoting transparency, traceability, and sustainability within the fashion industry. As the fashion sector faces significant environmental and social challenges, including resource depletion, pollution, and unethical labor practices, the DPP offers a potential solution ...
Laura Macchion
wiley   +1 more source

Lines of Sight

open access: yesMétrologie des ambiances urbaines, 2017
openaire   +1 more source

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

open access: yesDeep 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   +12 more
wiley   +1 more source

Non-line-of-sight reconstruction with signal-object collaborative regularization. [PDF]

open access: yesLight Sci Appl, 2021
Liu X, Wang J, Li Z, Shi Z, Fu X, Qiu L.
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

open access: yesDeep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu   +4 more
wiley   +1 more source

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