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    ARTICLE

    LDNet: A Robust Hybrid Approach for Lie Detection Using Deep Learning Techniques

    Shanjita Akter Prome1, Md Rafiqul Islam2,*, Md. Kowsar Hossain Sakib1, David Asirvatham1, Neethiahnanthan Ari Ragavan3, Cesar Sanin2, Edward Szczerbicki4

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2845-2871, 2024, DOI:10.32604/cmc.2024.055311 - 18 November 2024

    Abstract Deception detection is regarded as a concern for everyone in their daily lives and affects social interactions. The human face is a rich source of data that offers trustworthy markers of deception. The deception or lie detection systems are non-intrusive, cost-effective, and mobile by identifying facial expressions. Over the last decade, numerous studies have been conducted on deception detection using several advanced techniques. Researchers have focused their attention on inventing more effective and efficient solutions for the detection of deception. So, it could be challenging to spot trends, practical approaches, gaps, and chances for contribution.… More >

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