A5015591151- Food composition and properties
- Microbial Metabolites in Food Biotechnology
- Face Recognition and Perception
- Wheat and Barley Genetics and Pathology
- Neural dynamics and brain function
- Face recognition and analysis
- Animal Nutrition and Physiology
- Vehicle Dynamics and Control Systems
- Robotic Path Planning Algorithms
- Food and Agricultural Sciences
- Emotion and Mood Recognition
- Phytase and its Applications
- Advanced Neural Network Applications
- EEG and Brain-Computer Interfaces
- Polysaccharides Composition and Applications
- Medical Image Segmentation Techniques
- Control and Dynamics of Mobile Robots
- Medical Imaging and Analysis
- Autism Spectrum Disorder Research
The University of Tokyo
2024
Tianjin University of Technology
2023-2024
Henan University of Technology
2014-2021
Addition of dietary fibre (DF) improves the nutritional value and affects quality noodles. The effects addition modified wheat bran DF on enriched Chinese noodles were examined. Ultrasonic-treated (UDF) microwave-treated (MDF) added at 0.5, 1, 1.5, 2% to flour (w/w), resulting noodle samples evaluated in terms colour, texture properties, tensile water cooking characteristics, sensory evaluation. results showed that colour dough sheets became darker firmer with DF. Overall, absorption losses...
Six wheat varieties (3 hard and 3 soft genotypes) produced in China were selected to study the effect of granule types on physical properties starch. Difference freeze-thaw stability, solubility, gelatinisation, pasting swelling compared. The results demonstrated that directly correlated with type starch, A-type granules starch showed highest peak viscosity, trough final viscosity breakdown viscosity. B-type displayed poor textural properties, however, its stability was satisfactory....
The current work examines the physicochemical properties of wheat grains after 30, 60, 90, 120, and 150 days storage. Storage time had a considerable influence on quality wheat, which remained stable for up to 90-120 days. Compared with freshly harvested increased storage resulted in decrease catalase activity. However, damaged starch content, flour yield gluten index during period 60 positively affected falling number, amylose content wet except reducing sugar content. Additionally, three...
Abstract Medical image registration technology is important in medical processing, which can establish correspondence between complex images and ensure the comparability of data. Since deep convolutional neural network model prone to degradation convolution kernel has limited detection range during training, a Multi-scale residual full (MS-ResFCN) proposed for unsupervised non-rigid tasks. The introduces structure Fully Convolutional Network (FCN) effective stable training. At same time,...
In recent years, deep learning has been increasingly utilized in affective Brain-Computer Interface (aBCI) research. The application of Convolutional Neural Networks (ConvNets) for end-to-end analysis electroencephalographic (EEG) signals become a common approach learning-based aBCI. However, limited research conducted on better understanding how to design and train ConvNets emotional EEG decoding. This study explores three kinds architectures, including shallow, middle, configuration,...