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Predicting offer burden to optimize batch sizes in simultaneously expiring kidney offers. [PDF]

Front Artif Intell
Berry S, Görgülü B, Tunç S, Cevik M.
europepmc   +1 more source

Improving Laser Direct Writing Overlay Precision Based on a Deep Learning Method. [PDF]

Micromachines (Basel)
Gao G, Wang J, Liu X, Du J, Bian J, Yang H.   +5 more
europepmc   +1 more source

Predicting prognosis of light-chain cardiac amyloidosis by magnetic resonance imaging and deep learning. [PDF]

Eur Heart J Cardiovasc Imaging
Wang S, Liu C, Guo Y, Sang H, Li X, Lin L, Li X, Wu Y, Zhang LJ, Tian J, Li J, Wang Y.   +11 more
europepmc   +1 more source

AI-based modality-agnostic classification system for vascular calcifications. [PDF]

Sci Rep
Ramezanpour M, Robertson AM, Tobe Y, Jia X, Cebral JR.   +4 more
europepmc   +1 more source

Enhanced in-situ monitoring of metal deposition behaviour for pulsed wire arc directed energy deposition using integrated noncoaxial imaging and supervised deep learning framework. [PDF]

Sci Rep
De M, Dutta S, Mukherjee M.
europepmc   +1 more source

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Dissipative scaling of step-pool features

Flow Measurement and Instrumentation, 2021
Abstract This paper focuses on the dissipative similarity of step-pool units at rill, flume and stream scale. This investigation is carried out using recent advances in open channel flow resistance, applications of close-range photogrammetry to rill erosion, available published data on step-pool features in flumes and streams and a new dataset of ...
Costanza Di Stefano, Vincenzo Palmeri, Vincenzo Pampalone, Vito Ferro   +3 more
openaire   +1 more source

FEATURES OF USE ROWING POOL

2021
The choice of effective training regimes, varying the size of the paddle blade, the active use of pedagogical control means, and the inducement of the athlete to conscious self-control can already significantly increase the effectiveness of training in the rowing pool.
F. T. Ikramov, Z. N. Azimov
openaire   +1 more source