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Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
Our findings illustrate the potential of AI-imbued assistive robots in improving the well-being of vulnerable groups.
Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
Our study shows that while current networks in fNIRS are highly accurate for predictions within their training distribution, they falter at identifying and excluding abnormal data which is out-of-distribution, affecting their reliability.
Calibration of Deep Learning Classification Models in fNIRS
In the application of fNIRS, reliability is really important, and one mathematical formulation of the reliability of confidence is calibration.
Simulation-based Modelling of Growth and Pollination of Greenhouse Strawberry
In addition, simulation results provide some insights for strawberry planting in a greenhouse.
Tree Recognition APP of Mount Tai Based on CNN
Mount Tai has abundant sunshine, abundant rainfall and favorable climatic conditions, forming dense vegetation with various kinds of trees.
Image retrieval method based on CNN and dimension reduction
An image retrieval method based on convolution neural network and dimension reduction is proposed in this paper.
Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network
In order to identify and prevent tea leaf diseases effectively, convolution neural network (CNN) was used to realize the image recognition of tea disease leaves.
