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    Detection of Behavioral Patterns Employing a Hybrid Approach of Computational Techniques

    Rohit Raja1, Chetan Swarup2, Abhishek Kumar3,*, Kamred Udham Singh4, Teekam Singh5, Dinesh Gupta6, Neeraj Varshney7, Swati Jain8

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2015-2031, 2022, DOI:10.32604/cmc.2022.022904

    Abstract As far as the present state is concerned in detecting the behavioral pattern of humans (subject) using morphological image processing, a considerable portion of the study has been conducted utilizing frontal vision data of human faces. The present research work had used a side vision of human-face data to develop a theoretical framework via a hybrid analytical model approach. In this example, hybridization includes an artificial neural network (ANN) with a genetic algorithm (GA). We researched the geometrical properties extracted from side-vision human-face data. An additional study was conducted to determine the ideal number of… More >

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