Results 231 to 240 of about 5,430,126 (385)
Constructing artificial images of facial expressions [PDF]
Abbas Z. Kouzani, Saeid Nahavandi
openalex +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Attention and stimulus structure interact during ensemble encoding of facial expression. [PDF]
Sama MA, Shoura M, Nestor A, Cant JS.
europepmc +1 more source
Studying the dynamics of emotional expression using synthesized facial muscle movements.
Thomas Wehrle +3 more
openalex +2 more sources
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
Food Emotional Perception and Eating Willingness Under Different Lighting Colors: A Preliminary Study Based on Consumer Facial Expression Analysis. [PDF]
Shu Y, Gao H, Wang Y, Wei Y.
europepmc +1 more source
Motion field histograms for robust modeling of facial expressions [PDF]
Tanzeem Choudhury, Alex Pentland
openalex +1 more source
Facial expression analysis with AFFDEX and FACET: A validation study
Sabrina Stöckli +3 more
semanticscholar +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks. [PDF]
Mou X, Song Y, Xie X, You M, Wang R.
europepmc +1 more source

