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Energy Loss Prediction in IoT Energy Services
We propose Easeformer, a novel attention-based algorithm to predict the battery levels of IoT devices in a crowdsourced energy sharing environment.
Monitoring Efficiency of IoT Wireless Charging
Crowdsourcing wireless energy is a novel and convenient solution to charge nearby IoT devices.
Establishment of Neural Networks Robust to Label Noise
In addition, we examined the label noise robustness of two convolutional neural network classifiers with LeNet and AlexNet designs.
Contaminated Images Recovery by Implementing Non-negative Matrix Factorisation
Non-negative matrix factorisation (NMF) has been extensively applied to the problem of corrupted image data.
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