Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence

• Muhammad Salihin Saealal,

  Roles Investigation, Methodology, Software, Writing – original draft

  Affiliations Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan Campus, Pekan, Pahang, Malaysia, Electrical Engineering Technology Department, Faculty of Electric and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

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• Mohd Zamri Ibrahim ,

  Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

  * E-mail: zamri@ump.edu.my

  Affiliation Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan Campus, Pekan, Pahang, Malaysia

  https://orcid.org/0000-0003-0795-4096

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• David. J. Mulvaney,

  Roles Validation, Writing – review & editing

  Affiliation School of Electronic, Electrical and Systems Engineering, Loughborough University, Loughborough, United Kingdom

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• Mohd Ibrahim Shapiai,

  Roles Validation, Writing – review & editing

  Affiliation Centre for Artificial Intelligence and Robotics, Malaysia-Japan International Institue of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

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• Norasyikin Fadilah

  Roles Validation, Visualization

  Affiliation Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan Campus, Pekan, Pahang, Malaysia

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