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Tongyang Xu, Yuan Liu, Zhaotai Ma, Yiqiang Huang and Peng Liu
As a new distributed machine learning (ML) approach, federated learning (FL) shows great potential to preserve data privacy by enabling distributed data owners to collaboratively build a global model without sharing their raw data. However, the heterogen...
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Juncheng Dai, Shiyuan Jiang and Zhe Cheng
Although public?private partnerships (PPPs) for tourism have received extensive attention, there has been limited research on their application to tourist toilets. The purpose of this study was to systematically explore the applicability of PPPs with res...
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Jianing Zhang, Yanhuan Huang, Fuqiang Ye, Bibo Yang, Zengyong Li and Xiaoling Hu
Electroencephalography (EEG)-based measurements of fine tactile sensation produce large amounts of data, with high costs for manual evaluation. In this study, an EEG-based machine-learning (ML) model with support vector machine (SVM) was established to a...
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Tomasz Opach, Carlo Navarra, Jan Ketil Rød and Tina-Simone Neset
People living in urban areas are often exposed to heat and inundation caused by heavy rains. Therefore, pedestrian routing in areas exposed to weather-related threats can be of value to citizens. In this study, water accumulated on roads, sidewalks and f...
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Mehdi Dadkhaha,Mohammad Lagziana,Fariborz Rahim-niaa,Khalil Kimiafar
Finding the right experts for data gathering through interview serves as a key for particular research works. However, most expert finding methods in the literature require great deals of technical knowledge, making them somewhat impracticable for busine...
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Matthew A. Coogan, Thomas Adler, Karla Karash
A structural regression model has been developed to explore the relationship among key factors in the explanation of utilitarian walking. The model examines the relationship between and among unobserved, or ?latent? factors that reflect 1) the values and...
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