Abstract Recognition from faces is a popular and significant technology in recent years. Face alterations and the presence of different masks make it too much challenging. In the real world, […]
Masked Face Recognition Using Convolutional Neural Network Read More »
Abstract This paper represents an implementation of Principal Component Analysis (PCA) on masked and non-masked face recognition. Security is an essential term in our today’s life. In various Biometric technology,
Implementation of Principal Component Analysis on Masked and Non-masked Face Recognition Read More »
Abstract Various attacks have emerged as the major threats to the success of a connected world like the Internet of Things (IoT), in which billions of devices interact with each
An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection Read More »
Abstract In today’s economic scenario, credit card use has become extremely commonplace. These cards allow the user to make payments of large sums of money without the need to carry
Supervised Machine Learning Algorithms for Credit Card Fraud Detection: A Comparison Read More »
Abstract Nowadays, Citizen of one country is traveling to another country to settle their various needs through the widespread modern transportation system. However, Passport is a worldly recognized indispensable identity
Abstract Early detection of driver drowsiness and the development of a functioning driver alertness system may support the prevention of numerous vehicular accidents worldwide. Wearable sensors and camera-based systems are
An Effective Hybrid Model for EEG-Based Drowsiness Detection Read More »
Abstract: Drowsiness driving is a principal factor of many fatal traffic accidents. This paper presents the first event-based drowsiness driving detection (EDDD) system by using the recently developed neuromorphic vision
