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University of Wollongong

Faculty of Engineering and Information Sciences - Papers: Part B

Prediction

2019

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Leveraging Smote In A Two-Layer Model For Prediction Of Protein-Protein Interactions, Huaming Chen, Lei Wang, Chi-Hung Chi, Jun Shen Jan 2019

Leveraging Smote In A Two-Layer Model For Prediction Of Protein-Protein Interactions, Huaming Chen, Lei Wang, Chi-Hung Chi, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

The research of the mechanisms of infectious diseases between host and pathogens remains a hot topic. It takes stock of the interactions data between host and pathogens, including proteins and genomes, to facilitate the discoveries and prediction of underlying mechanisms. However, the incomplete protein-protein interactions data impediment the advances in this exploration and solicit the wet-lab experiments to examine and verify the latent interactions. Although there have been numerous studies trying to leverage the computational models, especially machine learning models, the performances of these models were not good enough to produce high-fidelity candidates of interactions data due to the nature …


Towards A General Prediction System For The Primary Delay In Urban Railways, Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun Jan 2019

Towards A General Prediction System For The Primary Delay In Urban Railways, Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun

Faculty of Engineering and Information Sciences - Papers: Part B

Nowadays a large amount of data is collected from sensor devices across the cyber-physical networks. Accurate and reliable primary delay predictions are essential for rail operations management and planning. However, very few existing 'big data' methods meet the specific needs in railways. We propose a comprehensive and general data-driven Primary Delay Prediction System (PDPS) framework, which combines General Transit Feed Specification (GTFS), Critical Point Search (CPS), and deep learning models to leverage the data fusion. Based on this framework, we have also developed an open source data collection and processing tool that reduces the barrier to the use of the …