ABSTARCT : Capturing images has been increasingly popular in recent years, owing to the widespread availability of cameras. Images are essential in our daily lives
July 23, 2024
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ABSTARCT : Capturing images has been increasingly popular in recent years, owing to the widespread availability of cameras. Images are essential in our daily lives
ABSTRACT : The growth of networked multimedia systems has magnified the need for image copyright protection. One approach used to address this problem is to
ABSTRACT : Cervical cancer is frequently a deadly disease, common in females. However, early diagnosis of cervical cancer can reduce the mortality rate and other
Abstract: A Convolutional Neural Networks (CNNs) approach is proposed to automate the method of Diabetic Retinopathy(DR) screening using Color fundus retinal photography as input. Our
ABSTRACT : Security and safety is a big concern for today’s modern world. For a country to be economically strong, it must ensure a safe
ABSTRACT : In this paper, we present a method (Action-Fusion) for human action recognition from depth maps and posture data using convolutional neural networks (CNNs).
ABSTARCT : Capturing images has been increasingly popular in recent years, owing to the widespread availability of cameras. Images are essential in our daily lives
ABSTRACT: There are several different techniques for biometric authentication. Iris recognition happens to be one of the most sophisticated and effective among them. It is
ABSTRACT : This system proposes an improved multi-task cascaded convolutional network-based intelligent fruit and ripening detection method. This method has the capability to make the
ABSTRACT : An automatic forest fire monitoring system based on UAV(unmanned aerial vehicle)-acquired video images was studied in this paper. This novel method was proposed
