Results 211 to 220 of about 126,642 (284)

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

open access: yesDeep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li   +7 more
wiley   +1 more source

Motion planning and control of an installation robot for attitude adjustment of arc parts in underground shield tunneling

open access: yesDeep Underground Science and Engineering, EarlyView.
Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao   +5 more
wiley   +1 more source

Shock wave propagation characteristics of aluminum‐containing explosive in corrugated steel‐lined tunnel

open access: yesDeep Underground Science and Engineering, EarlyView.
Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang   +5 more
wiley   +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

Hybrid ANFIS-MPA and FFNN-MPA Models for Bitcoin Price Forecasting. [PDF]

open access: yesBiomimetics (Basel)
Baştemur Kaya C, Kaya E, Sıramkaya E.
europepmc   +1 more source

TikTok and Eating Disorders: A Narrative Review

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok has rapidly become one of the world's most influential social media platforms, distinguished by its algorithmically personalized video feed. Its design prioritizes continuous, engagement‐optimized content delivery, raising questions about how such environments may shape eating disorder risk, symptom maintenance, and recovery ...
Scott Griffiths   +2 more
wiley   +1 more source

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