Dependable information processing method for reliable human-robot interactions in smart city applications

作者：

Highlights：

• Maximizing DIP using an effective k-means clustering algorithm.

• Shortening the validation process while handling multi-attribute data.

• Maximizing system response time while analyzing data in smart city applications.

摘要

•Maximizing DIP using an effective k-means clustering algorithm.•Shortening the validation process while handling multi-attribute data.•Maximizing system response time while analyzing data in smart city applications.

论文关键词：Attribute categorization,Human-robot interaction,Information processing,K-means clustering,Smart city

论文评审过程：Received 8 August 2020, Revised 22 September 2020, Accepted 5 October 2020, Available online 7 October 2020, Version of Record 18 October 2020.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.104045