Abstract: Dental pathology detection and tooth type categorization are crucial yet often error-prone and time-consuming tasks in dental diagnostics. This paper presents a novel approach using ...
This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
Abstract. An innovative few-shot anomaly detection approach is presented, leveraging the pre-trained CLIP model for medical data, and adapting it for both image-level anomaly classification (AC) and ...
AI helped researchers probe the Hubble Space Telescope's archive to find strange celestial objects, including some indescribable by science. When you purchase through links on our site, we may earn an ...
Here's a use of AI that appears to do more good than harm. A pair of astronomers at the European Space Agency (ESA) developed a neural network that searches through space images for anomalies. The ...
The universe is so vast, and the difficulty of discovering all that there is out in the cosmos is so great, that one might as well count all the grains of sand in the Sahara. But now, with the help of ...
Abstract: The health status of multi-satellite attitude control systems exerts a crucial impact on the operational efficiency of constellations. However, the inherent spatio-temporal correlation and ...
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