Robotics & Machine Learning Daily News2024,Issue(Sep.23) :77-77.

Data on Intelligent Systems Detailed by Researchers at Zewail City of Science an d Technology (Accuracy Is Not Enough: a Heterogeneous Ensemble Model Versus Fgsm Attack)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :77-77.

Data on Intelligent Systems Detailed by Researchers at Zewail City of Science an d Technology (Accuracy Is Not Enough: a Heterogeneous Ensemble Model Versus Fgsm Attack)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning - Intelligent Systems. According to news reporting from Giza, Egypt, b y NewsRx journalists, research stated, “In this paper, based on facial landmark approaches, the possible vulnerability of ensemble algorithms to the FGSM attack has been assessed using three commonly used models: convolutional neural networ k-based antialiasing (A_CNN), Xc_Deep2-based DeepLab v 2, and SqueezeNet (Squ_Net)-based Fire modules. Firstly, the three individual deep learning classifier-based Facial Emotion Recognition (FER) class ifications have been developed; the predictions from all three classifiers are t hen merged using majority voting to develop the HEM_Net-based ensem ble model.”

Key words

Giza/Egypt/Africa/Intelligent Systems/Machine Learning/Zewail City of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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