Characterizing the variability of footstep-induced structural vibrations for open-world person identification

Y Dong, J Fagert, HY Noh - Mechanical Systems and Signal Processing, 2023 - Elsevier
Person identification is important in providing personalized services in smart buildings.
Many existing studies focus on closed-world person identification, which only identifies a …

Big data analytics and classification of cardiovascular disease using machine learning

S Narejo, A Shaikh, MM Memon… - Journal of Intelligent …, 2022 - content.iospress.com
Hundreds of people dying from heart disease almost every day that is how terrific a delayed
diagnosis can be. Living in an advanced era full of intelligent systems, the increasing …

Fall Monitoring System Based on Wearable Device and Improved KNN

S Li, D Tan, B Yao, Z Wang - Automatic Control and Computer Sciences, 2024 - Springer
For the elderly, falls can be extremely fatal. However, due to the physical decline of the
elderly, it is difficult to avoid falls. Therefore, to the greatest extent feasible lessen the harm …

An Improved PoinTr Point Cloud Completion Method Based on Feature Enhancement

H Sun, Z Lin, Q Lu, S Jia, X Cai - International Journal of Pattern …, 2023 - World Scientific
To address the issue that point cloud data is often incomplete and difficult to obtain, we
propose a point cloud completion method to improve the PoinTr method based on feature …

Prediction of Microblog Users' Forwarding Behavior Based on Interactive and Active Information

B Niu, L Sui, J Tang, R Dong, K Kou… - Proceedings of the 2020 …, 2020 - dl.acm.org
As a mainstream online social media platform, microblog predicts the individual forwarding
behavior from the perspective of a single user, which is helpful to grasp the information …

TextGraph-A lexicon based framework for concept extraction and visualization

A Shaikh, NA Mahoto, MA Unar - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
The shift in the news consumption from traditional newspapers to online news has led media
analysts and researchers to apply powerful text mining techniques on the vast amount of …