Abstract In this paper, we present a hashing function for the application of face template protection, which improves the correctness of existing algorithms while maintaining the security simultaneously. The novel […]
Full Entropy Hash for Face Template Protection Read More »
Abstract Human activity recognition is a challenging problem with many applications including visual surveillance, human-computer interactions, autonomous driving, and entertainment. In this study, we propose a hybrid deep model to
Abstract The diagnosis of heart disease by the classical medical approach takes a huge amount of time. Besides blood tests and X-ray, this approach includes multiple tests like MRI, Echocardiogram,
A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms Read More »
Abstract Analyzing sentiment is a process to identify the opinion of a text. It is also known as opinion mining or emotion Artificial Intelligence (AI). People post comments in social
A Comparative Sentiment Analysis Of Sentence Embedding Using Machine Learning Techniques Read More »
Abstract In the age of smart cities, it is envisioned that most processes within the smart city context will be smart and automated. This includes smart houses, smart kitchens, etc.
Abstract License Plate Recognition is the most efficient and cost-effective technique used for vehicle identification purposes. Automatic license plate recognition (ALPR) is used for finding the location of the number
Detection and Recognition of Multiple License Plate From Still Images Read More »
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 Can we detect electric discharge states in gases based on the information on visual images? This article proposes a new kind of method where we build several detection models
A Corona Recognition Method Based on Visible Light Color and Machine Learning Read More »
Abstract This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether
Traffic Prediction for Intelligent Transportation System using Machine Learning 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 »
