You can read more about sound event detection literature here. This method was first proposed in 'Sound event detection using spatial features and convolutional recurrent neural network'. It recently ...

Abstract: The aim of this research is to quickly detect cross-site scripting (XSS) attacks on the internet based on relationship diagram convolutional networks ... node characteristics are aggregated ...

School of Integrated Circuits, Shandong University, Jinan 250100, P. R. China Shenzhen Institute of Shandong University, Shenzhen 518057, P. R. China School of ...

[ViciousSquid] is updating this 90s idea for the 20s with a digital pet squid that uses a neural network to shape its behavior. The neural network that controls the squid’s behavior takes a ...

Based on the deep learning method, the convolutional neural network model is used to extract the newly produced 3D feature to ... The conversion formulas of voltage, current and power at each sampling ...

This project implements a machine learning model to detect phishing websites using a Multi-Layer Perceptron (MLP) neural network. The model analyzes various features extracted from URLs and website ...

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ESET NOD32: This may not be the cheapest malware removal tool on the market, nor the most user-friendly, but we did find that it delivered excellent detection results. It also works across ...