Intrusion Detection System (IDS) is made as one of the solutions to handle security issues on the network in order to remain assured free of attack. IDS's work is developed by 2 models that using ...

Created a convolutional neural network (CNN) using TensorFlow and Keras to classify over 47,000 different images - Trained ML model using the Fashion MNIST dataset and transitioned to a dataset of ...

The camera is connected to an access point (wireless router) but may not be connected to the computer due to the settings or connection status of the computer. To import images from the camera to the ...

Spiking neural networks are a promising concept not only in terms of better simulation of biological neural networks but also in terms of overcoming the current disadvantages of artificial neural ...

Keywords- Computer Vision, Residual Network, Gastric Cancer Classification. Introduction-Gastric cancer is the fifth most common malignancy and the third most common cause of cancer related death ...

To be compliant, to ensure data is optimally protected, that it is available, that it can be analysed and that it is stored most cost-effectively – these are reasons why data classification is ...

Add articles to your saved list and come back to them any time. Computer games will fall under the same classification as films after a bill was passed in the Senate on Thursday. Senator Judith ...

Brain-computer interface using neural network and temporal-spectral features. Front. Neuroinform. 16:952474. doi: 10.3389/fninf.2022. ... Graph neural network based on brain inspired forward-forward ...