Results 141 to 150 of about 1,168,729 (288)
ABSTRACT This research empirically validates an integrated framework that explains net‐zero‐emission adoption among Small and Medium Enterprises (SMEs) in the United Arab Emirates (UAE). Extending the Technological‐Organizational‐Environmental (TOE) framework with the Triple Bottom Line (TBL) perspective, the research explains how internal capabilities
Alanood Alremeithi +3 more
wiley +1 more source
Motion aftereffects from viewing another's gaze are restricted to the line of sight. [PDF]
Renet C +3 more
europepmc +1 more source
Combined optical line-of-sight and crosslink radiometric navigation for distributed deep-space systems. [PDF]
Casini S +4 more
europepmc +1 more source
Digital Product Passports in Fashion: A Strategic Framework for Implementation
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
Ultrasound synthetic aperture non-line-of-sight imaging. [PDF]
Li T +6 more
europepmc +1 more source
ViewShedR: a new open-source tool for cumulative, subtractive and elevated line-of-sight analysis. [PDF]
Arnon E +5 more
europepmc +1 more source
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
Machine Learning-Based Human Detection Using Active Non-Line-of-Sight Laser Sensing. [PDF]
Çelebi S, Türkoğlu İ.
europepmc +1 more source
Deep Non-Line-of-Sight Imaging Using Echolocation. [PDF]
Jang S, Shin UH, Kim K.
europepmc +1 more source
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

