5 papers
Energy Loss Prediction in IoT Energy Services
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari +1
We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel a…
Monitoring Efficiency of IoT Wireless Charging
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari +1
Crowdsourcing wireless energy is a novel and convenient solution to charge nearby IoT devices. Several applications have been proposed to enable peer-to-peer wireless energy chargi…
Establishment of Neural Networks Robust to Label Noise
Pengwei Yang, Chongyangzi Teng, Jack George Mangos
Label noise is a significant obstacle in deep learning model training. It can have a considerable impact on the performance of image classification models, particularly deep neural…
Contaminated Images Recovery by Implementing Non-negative Matrix Factorisation
Pengwei Yang, Chongyangzi Teng, Jack George Mangos
Non-negative matrix factorisation (NMF) has been extensively applied to the problem of corrupted image data. Standard NMF approach minimises Euclidean distance between data matrix…
Towards peer-to-peer sharing of wireless energy services
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari +1
Crowdsourcing wireless energy services is a novel convenient alternative to charge IoT devices. We demonstrate peer-to-peer wireless energy services sharing between smartphones ove…