Search Results for author: Longfei Chen

Found 5 papers, 0 papers with code

Monitoring Inactivity of Single Older Adults at Home

no code implementations3 Nov 2023 Longfei Chen, Robert B. Fisher

A new application for real-time monitoring of the lack of movement in older adults' own homes is proposed, aiming to support people's lives and independence in their later years.

Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective

no code implementations18 Sep 2023 Laixin Xie, Yang Ouyang, Longfei Chen, Ziming Wu, Quan Li

These approaches rely on the observed data to estimate the missing values and therefore encounter three main shortcomings in imputation, including the need for different imputation methods for various missing data mechanisms, heavy dependence on the assumption of data distribution, and potential introduction of bias.

Contrastive Learning Imputation

Topological feature study of slope failure process via persistent homology-based machine learning

no code implementations29 Sep 2020 Shengdong Zhang, Shihui You, Longfei Chen, Xiaofei Liu

Using software UDEC to simulate the instability failure process of slope under seismic load, studing the dynamic response of slope failure, obtaining the deformation characteristics and displacement cloud map of slope, then analyzing the instability state of slope by using the theory of persistent homology, generates bar code map and extracts the topological characteristics of slope from bar code map.

Geophysics Computational Engineering, Finance, and Science

Analysis of tunnel failure characteristics under multiple explosion loads based on persistent homology-based machine learning

no code implementations19 Sep 2020 Shengdong Zhang, Shihui You, Longfei Chen, Xiaofei Liu

The geometric, physical and interunit characteristics of the tunnel subjected to explosive loading are extracted, and the nonlinear mapping relationship between the topological quantity of persistent homology, and the failure characteristics of the surrounding rock is established, and the results of the intelligent description of the failure characteristics of the tunnel are obtained.

BIG-bench Machine Learning

Detecting Clues for Skill Levels and Machine Operation Difficulty from Egocentric Vision

no code implementations10 Jun 2019 Longfei Chen, Yuichi Nakamura, Kazuaki Kondo

With respect to machine operation tasks, the experiences from different skill level operators, especially novices, can provide worthy understanding about the manner in which they perceive the operational environment and formulate knowledge to deal with various operation situations.

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