CLASSIFICATION MODEL OF CLOCK DRAWING TEST BASED ON CONTRASTIVE LEARNING USING MULTI-CHANNEL FEATURES WITH CHANNEL-SPATIAL ATTENTION

Classification Model of Clock Drawing Test Based on Contrastive Learning Using Multi-Channel Features With Channel-Spatial Attention

The Clock Drawing Test (CDT) is a professional examination that can detect cognitive impairments, such as Parkinson’s and Alzheimer’s diseases, based on scoring criteria.The pooling layers of a convolutional neural network (CNN) compress features by reducing dimensionality, which tends to focus on a single dominant element.This can be

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Investigation of effects on the contact condition and the collision behaviour of a wheelset with a flat set on a roller rig by the shape at the edge of the wheel flat

We firstly executed bench tests of a bogie having the wheelset with a wheel flat installed on the roller rig.A wheel flat of 75 mm was prepared on the wheel tread and the front edge of the wheel flat was rounded by the grinding work.By making the radius of the front edge large, the maximum vertical acceleration of an axlebox decreased in the speed

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Renewable energy company stock dynamics forecast in the period of sustainable development based on Fractal-FOA-LSTM

In stock trend Back Scratchers forecasting system, feature selection and model building are two major factors that affect prediction performance.In order to improve the accuracy of prediction and the stability of the model, a stock trend prediction model of Fractal-FOA-LSTM is proposed.Firstly, the features are selected by using the FOA (fruit fly

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