Pdf An Optimized Machine Learning And Deep Learning Framework For Facial And Masked Facial

By switzerlandersing On Sep 12, 2025

Facial Recognition Using Deep Learning | PDF | Deep Learning | Artificial Intelligence

Facial Recognition Using Deep Learning | PDF | Deep Learning | Artificial Intelligence In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. prior studies only used a single machine learning model for classification and did not report optimal parameter values. In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. prior studies only used a.

Table 1 From An Optimized Machine Learning And Deep Learning Framework For Facial And Masked ...

Table 1 From An Optimized Machine Learning And Deep Learning Framework For Facial And Masked ... To address the challenges associated with masked face recognition, this study presents a novel method that approach with a modified vgg 16 architecture. the model is fine tuned to adapt to the masked face recognition task, focusing on the upper face region. In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. prior studies only used a single machine learning model for classification and did not report optimal parameter values. It provides a comprehensive coverage of both deep and shallow solutions, as they stand today, and highlight areas requiring future development and improvement. In this work, a masked face recognition system based on deep learning is presented in which three different deep learning approaches were applied to investigate the pretrained cnn architectures for masked face recognition.

(PDF) MACHINE LEARNING-BASED FACIAL RECOGNITION FOR VIDEO SURVEILLANCE SYSTEMS

(PDF) MACHINE LEARNING-BASED FACIAL RECOGNITION FOR VIDEO SURVEILLANCE SYSTEMS It provides a comprehensive coverage of both deep and shallow solutions, as they stand today, and highlight areas requiring future development and improvement. In this work, a masked face recognition system based on deep learning is presented in which three different deep learning approaches were applied to investigate the pretrained cnn architectures for masked face recognition. In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. prior studies only used a single machine learning model for classification and did not report optimal parameter values. In this paper, we evaluated three deep learning approaches in the challenging task of detecting human emotions based on masked facial images. the undertaking is particularly valuable under the covid 19 conditions where mask wearing has become a norm in our daily social interactions. This article addresses this problem in the existing face recognition model and proposes an improvement of facenet. we use convnext t as the backbone of the network model and add the eca. Real life scenarios and found that it accurately identified masked individuals through facial recognition. furthermore, our study stands out from others as it incorporates hyperparameter tuning and nested cross validation during the verification.

Face Mask Detection Using Machine Learning And Deep Learning | PDF | Receiver Operating ...

Face Mask Detection Using Machine Learning And Deep Learning | PDF | Receiver Operating ... In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques. prior studies only used a single machine learning model for classification and did not report optimal parameter values. In this paper, we evaluated three deep learning approaches in the challenging task of detecting human emotions based on masked facial images. the undertaking is particularly valuable under the covid 19 conditions where mask wearing has become a norm in our daily social interactions. This article addresses this problem in the existing face recognition model and proposes an improvement of facenet. we use convnext t as the backbone of the network model and add the eca. Real life scenarios and found that it accurately identified masked individuals through facial recognition. furthermore, our study stands out from others as it incorporates hyperparameter tuning and nested cross validation during the verification.