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Against the problems existing in the collective running projects, such as not-reasonable-enough monitoring means, not-scientific-enough assessment tools, and so on, an overseeing and evaluating system of running training was designed and implemented based on the radio frequency identification(RFID), which has the advantages of high precision, comprehensive and real-time positioning. The system provides...
We present a simplified and novel fully convolutional neural network (CNN) architecture for semantic pixel-wise segmentation named as SCNet. Different from current CNN pipelines, proposed network uses only convolution layers with no pooling layer. The key objective of this model is to offer a more simplified CNN model with equal benchmark performance and results. It is an encoder-decoder based fully...
Semi-supervised learning is a key research subject in the field of machine learning. Co-training by Committee is an iterative semi-supervised learning algorithm. During the iteration of this algorithm, the previous committee is used for predicting unlabeled examples. However, the classification accuracy limitation of single committee will bring adverse effect on training of committees. Therefore,...
The prediction of some key parameters in the operational process of vertical roller mill is very important for its safety and reliability. Because the vertical mill works too long in poor conditions, its key operating parameters are nonlinear and time-varying and the traditional prediction methods are difficult to achieve high accuracy. This paper selects the upper shell vibration signal of the vertical...
Mobile Assisted Language Learning (MALL) delivers the content of learning to the audience with the mobile computing devices such as laptops, smart phones and handheld devices. The advantage of MALL approach is that learners are not restricted to time, place and the presence of the teachers. This paper will discuss ways in which mobile computing devices can be used for aviation English learning with...
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