Results 181 to 190 of about 111,388 (246)

Oral squamous cell carcinoma grading classification using deep transformer encoder assisted dilated convolution with global attention. [PDF]

Front Artif Intell
Ramya S, Minu RI.
europepmc   +1 more source

Automated weld defect detection using gated attention and squeeze and excitation fusion U-Net. [PDF]

Sci Rep
Popuri JR, R AN, Nitish NH, Kumar DD, P Gopi V, Palanisamy P.   +5 more
europepmc   +1 more source

U-AttentionFlow: A Multi-Scale Invertible Attention Network for OLTC Anomaly Detection Using Acoustic Signals. [PDF]

Sensors (Basel)
Kim D, Hwang H, Kim H.
europepmc   +1 more source

Efficient denoising in LED-based optoacoustic tomography with squeeze-and-excitation deep convolutional networks. [PDF]

J Biomed Opt
Xu Y, Liu X, Deán-Ben XL, Kalva SK, Razansky D.   +4 more
europepmc   +1 more source

SKS-transformer: multi-scale and direction-aware attention for inertial sensor-based activity recognition. [PDF]

Front Sports Act Living
Feng C, Bačić B, Li W, Xu H.
europepmc   +1 more source

Squeeze-and-Excitation Enhanced Convolutional Neural Networks for Multi-class Pneumonia Classification on Chest Radiographs. [PDF]

Cureus
Huang KA, Choudhary HK, Santiago A, Prakash NS.   +3 more
europepmc   +1 more source

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Squeeze flow of Bingham plastics

Journal of Non-Newtonian Fluid Mechanics, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Smyrnaios, D. N., Tsamopoulos, J. A.
openaire   +2 more sources

Squeeze Flow of Semi-Solid Slurries

Solid State Phenomena, 2012
A standard method used to determine material properties of semi-solid slurries is the squeeze flow experiment in which a fixed amount of material is squeezed under constant force or velocity. The relation between the force and the displacement provides information about the rheology of the slurry.
Alexandrou, Andreas N., Florides, G. C., Georgiou, Georgios C., Alexandrou, Andreas N., Florides, G. C., Georgiou, Georgios C.   +5 more
openaire   +4 more sources