AI model crossNN identifies over 170 tumor types with high accuracy using genetic material, offering fast, non-invasive ...

To tackle those problems, we present a methodology to automatically map anomalies on the road, namely speed bumps in this study, using an off-the-shelf camera (GoPro) and Machine Learning ... to speed ...

Abstract: Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. This study investigates the ...

This study explores the application of machine learning techniques to predict compliance audit results and introduces the Balanced Scorecard as an independent variable to improve prediction accuracy.

Flow chart of SAGAN. These GAN modules enhance the detection ... In a deep learning model for object detection, FPS is used to represent the inference speed of the model. Usually, there are a small ...

The purpose is to solve the problems of large positioning errors, low recognition speed, and low object recognition accuracy in industrial robot detection in a 5G environment. The convolutional neural ...