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Human activity recognition has been widely used in many fields, especially in video surveillance and virtual reality, etc. The paper investigates a general feature combination method for a relatively new 3D CNNs and LSTMs fusion model in human activity recognition. All the features used in this combination method are from human activity videos without manually extracting features or any prior knowledge,...
Motor is a kind of imperative driving device, whether a motor can monitor its state precisely and diagnose fault timely have a profound impact. This paper mainly investigates the improvement of the general method of motor defect diagnosis to achieve higher accuracy. Unfortunately, every classifier has their own respective advantages and disadvantages, using the typical machine learning methods separately...
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