Quantum water strider algorithm with hybrid-deep-learning-based activity recognition for human-computer interaction

HIGHLIGHTS

  • who: Areej A. Malibari and collaborators from the Department of Computer Science, Faculty of Computing and Information Technology, Department of Industrial Engineering, College of Engineering at Alqunfudah, Umm Al-Qura University, University of Jeddah, Jeddah, Saudi Arabia have published the article: Quantum Water Strider Algorithm with Hybrid-Deep-Learning-Based Activity Recognition for Human-Computer Interaction, in the Journal: (JOURNAL)
  • what: The aim of HCI advancement is to make effective computers that adapt to and serve the requirements of humans -people-centered rather than forcing individuals to adapt to the computer. In this paper, a . . .

     

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