Results 261 to 270 of about 1,866,673 (365)

Nature‐inspired hierarchical materials

open access: yesJournal of the American Ceramic Society, EarlyView.
Nature serves as a wonderful school for materials science, demonstrating how biological organisms craft hierarchical structures and multifunctional properties using limited, locally available resources. This process addresses complex design challenges while promoting sustainability.
Qiang Fu   +4 more
wiley   +1 more source

Multi-User MIMO Downlink Precoding with Dynamic User Selection for Limited Feedback. [PDF]

open access: yesSensors (Basel)
Bakulin M   +4 more
europepmc   +1 more source

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

open access: yesJournal of Microscopy, EarlyView.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz   +4 more
wiley   +1 more source

Old Skool Spinning and Syncing: Memory, Technologies, and Occupational Membership in a DJ Community

open access: yesJournal of Management Studies, EarlyView.
Abstract We show how technology and its temporal instantiations act as material‐relational mnemonic devices that provide temporal anchors for collective remembering in occupations and form the basis of what we call an 'occupational mnemonic community'.
Hamid Foroughi   +2 more
wiley   +1 more source

Multi‐task graph‐based model for metro flow prediction under dynamic urban conditions

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Accurately predicting metro commuter flows under changing urban conditions is essential for guiding infrastructure investments and service planning. However, existing methods show limited adaptability to evolving urban conditions. To address this, we propose an adaptive graph sharing embedding cascade interaction network (AGSECIN), which ...
Lu Zhao   +7 more
wiley   +1 more source

End‐to‐end frequency enhancement framework for GPR images using domain‐adaptive generative adversarial networks

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Ground‐penetrating radar (GPR) offers nondestructive subsurface imaging but suffers from a trade‐off between frequency and penetration depth: High frequencies yield better resolution with limited depth, while low frequencies penetrate deeper with reduced detail.
Hancheng Zhang   +4 more
wiley   +1 more source

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