Motivated by recent advances in deep learning, we propose to design a high-accuracy low-complexity signal detector for banded linear systems based on convolutional neural networks (CNNs). We develop a ...

Intrusion detection systems are used for this purpose. We have used a few of the Machine Learning (ML) procedures such as Support vector Machine (SVM), Decision Tree (DT), Logistic regression (LR), ...

Abstract: The complex nature of road images and weak signal make the detection of pavement cracks particularly difficult. An algorithm for pavement cracks detection based on Beamlet Transform is ...

A version of this story appeared in CNN Business’ Nightcap newsletter. To get it in your inbox, sign up for free here. New York CNN — If the CEO of a soda company declared that soda-making ...

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In practice, images acquired from the wall of furnace are used to reflect working conditions of furnace indirectly. In this article, a supervised matrix regression algorithm is proposed to detect ...

Initially, features are automatically extracted from seagrass images using a pre-trained deep convolutional neural network (CNN). Subsequently, machine learning algorithms categorize these images into ...