Results 121 to 130 of about 460,263 (267)

Graph Convolutional Neural Networks for Micro-Expression Recognition—Fusion of Facial Action Units for Optical Flow Extraction

IEEE Access
Micro-expression recognition is an important problem in the field of computer vision and affective computing. To improve the accuracy of micro-expression recognition, the study proposes a novel graph convolutional neural network model oriented to micro ...
Xuliang Yang, Yong Fang, C. Raga Rodolfo
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Multimodal Attention Dynamic Fusion Network for Facial Micro-Expression Recognition. [PDF]

Entropy (Basel), 2023
Yang H, Xie L, Pan H, Li C, Wang Z, Zhong J.   +5 more
europepmc   +1 more source

MESTI-MEGANet: Micro-expression Spatio-Temporal Image and Micro-expression Gradient Attention Networks for Micro-expression Recognition

Micro-expression recognition (MER) is a challenging task due to the subtle and fleeting nature of micro-expressions. Traditional input modalities, such as Apex Frame, Optical Flow, and Dynamic Image, often fail to adequately capture these brief facial movements, resulting in suboptimal performance.
Nguyen, Luu Tu, Khuong, Vu Tram Anh, Le, Thanh Ha, Ngo, Thi Duyen   +3 more
openaire   +2 more sources

Tuning the Dielectric Properties of Individual Clay Nanosheets by Interlayer Composition: Toward Nano‐Electret Materials

Advanced Functional Materials, EarlyView.
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich, Paul Markus, Matthias Stöter, Bernhard Biersack, Rainer Schobert, Josef Breu, Georg Papastavrou   +6 more
wiley   +1 more source

Multi-scale fusion visual attention network for facial micro-expression recognition. [PDF]

Front Neurosci, 2023
Pan H, Yang H, Xie L, Wang Z.
europepmc   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

On‐Surface Indigo‐Based Bimolecular Coordination Networks with Programmable Regular or Vitreous Structure

Advanced Functional Materials, EarlyView.
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu, Ritam Chakraborty, Biao Yang, Dennis Meier, Joachim Reichert, Svetlana Klyatskaya, Mario Ruben, Shobhana Narasimhan, Johannes V. Barth, Anthoula C. Papageorgiou   +9 more
wiley   +1 more source

Micro-expression recognition method based on progressive attention

Shenzhen Daxue xuebao. Ligong ban
Micro-expression is unconscious expression changes that reflect people's underlying emotions and inner states. When micro-expressions occur, their low intensity and the small facial range result in insufficient feature extraction and inaccurate ...
ZHAN Ziwei, SUN Zhaocai, LI Xiang, WU Zhendong   +3 more
doaj   +1 more source

Micro-Expression Recognition Based on Optical Flow and PCANet. [PDF]

Sensors (Basel), 2022
Wang S, Guan S, Lin H, Huang J, Long F, Yao J.   +5 more
europepmc   +1 more source