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 ...

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

The main objective of this paper is to improve the accuracy of weed detection by combining generative adversarial networks and convolutional neural networks. We have implemented deep learning models, ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

To address this challenge, we propose a Rebuild Convolution Block Attention Module-based Convolutional Neural Network (RCBAM-CNN) designed to accurately classify lung nodules from CT scans. The ...

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 ...

I highly advise the use of third-party malware detection and removal tools. While the XProtect app itself can only detect and block threats, it comes down to XPR’s scanning modules for removal.

Scam Sniffer initially raised the alarm about Telegram malware scams in December last year but says bad actors have since evolved tactics to snare new victims.