Results 141 to 150 of about 2,547,290 (363)

KinectFusion: Real-time dense surface mapping and tracking

open access: yes2011 10th IEEE International Symposium on Mixed and Augmented Reality, 2011
Richard A. Newcombe   +9 more
semanticscholar   +1 more source

In the tracks of the impossible

open access: yesTydskrif vir Letterkunde, 2019
Arising from experiences of slavery and exile, flamenco was strongly influenced, (re)created, and (re)imagined by black people who lived in southern Spanish cities for over 400 years. Despite consistent and intentional erasure, the fact is that between the fifteenth and nineteenth centuries, there was an important Black presence in the Iberian ...
openaire   +6 more sources

Association Between Sleep Disturbance and Subsequent Pain Interference in Patients With Early Rheumatoid Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective This study investigated whether sleep disturbance can predict the extent to which pain interferes with daily functioning in patients with early rheumatoid arthritis (RA). Methods Data were from adults with early RA (joint symptoms ≤12 months) enrolled in the Canadian Early Arthritis Cohort between 2016 and 2023.
Burcu Aydemir   +16 more
wiley   +1 more source

LOXHD1 and RHOB Expression by Monocytes Predicts Progressive Systemic Sclerosis associated Interstitial Lung Disease

open access: yesArthritis Care &Research, Accepted Article.
Objective A leading cause of death among scleroderma (SSc) patients, interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M Padilla   +13 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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