7 Result(s)
within
Engineering
Artificial Intelligence
Robotics and Automation
**aorui **
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Article
Multiple source domain adaptation in micro-expression recognition
Facial recognition has now played a pivotal role in many applications, including biomechanics, sports, image segment, animation, and robotics, etc. Although commercial facial recognition is matured, micro-expr...
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Chapter and Conference Paper
Automatic Liver and Tumor Segmentation of CT Based on Cascaded U-Net
Automatic segmentation of liver and tumor plays a crucial role in medical-aided diagnosis. At present, neural networks have been widely used in medical image processing. There are many FCN-based methods used f...
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Chapter and Conference Paper
Research on Straightness Error Evaluation Method Based on Search Algorithm of Beetle
In order to improve the accuracy of spatial straightness assessment, a mathematical model of spatial straightness is established. The objective function is solved by using a variable step length beetle search ...
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Chapter and Conference Paper
Application of CNN Deep Learning in Product Design Evaluation
Convolutional Neural Network (CNN) is an excellent deep learning algorithm. It can not only extract image features accurately, but also can reduce the complexity of the model. This paper combines the advanced ...
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Chapter and Conference Paper
A Study on a Novel Application of Eye Tracking Technology in Product Customization
In the context of industry 4.0, personalized customization of products will be an important part of intelligent manufacturing. In a market competition, improving customer satisfaction is important to enhance t...
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Chapter and Conference Paper
A Modified Teaching and Learning Based Optimization Algorithm and Application in Deep Neural Networks Optimization for Electro-Discharge Machining
In order to improve the output precision of depth neural networks, an improved teaching and learning optimization algorithm is proposed to optimize the weights and thresholds of depth neural networks. The algo...
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Chapter and Conference Paper
Robust Adaptive Control for Robotic Systems with Guaranteed Parameter Estimation
In this paper, we propose a novel adaptive control scheme for robotic systems by incorporating the parameter error into the adaptive law. By carrying out filter operations, the robotic system is linearly param...
