IEEE

KDAD: Knowledge Distillation-Based Anomaly Detection for Thermal Infrared Hyperspectral Image

Abstract: Autoencoder (AE) is extensively utilized in hyperspectral anomaly detection (HAD) tasks owing to its robust feature extraction and image reconstruction capabilities. However, AE lacks ...
IEEE

LSTM Neural Networks Anomaly Detection for Biotic and Abiotic Early Stress Detection on Tomato Plants

Abstract: This study explores time series anomaly detection using a long short-term memory (LSTM) neural network to identify abnormal plant conditions—both biotic and abiotic—by analyzing a stem ...
Ars Technica

Starlink satellite breaks apart into “tens of objects”; SpaceX confirms “anomaly”

SpaceX’s Starlink division confirmed yesterday that it lost contact with a satellite on Sunday and is trying to locate space debris that might have been produced by… whatever happened there. “LeoLabs ...
Scientific American

SpaceX Starlink satellite suffers mysterious ‘anomaly’ in orbit

One of Elon Musk’s Starlink Internet satellites suffered an “anomaly” on Sunday while in orbit around Earth, the company said in a social media post. The incident appears to have created some debris, ...
SpaceNews

Second Starlink satellite suffers anomaly, generating debris

An image of Starlink-35956, a satellite that suffered an in-orbit anomaly Dec. 17, confirming the spacecraft was largely intact despite generating hundreds of pieces of debris. Credit: Vantor KENNEDY ...
GitHub

EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models

We propose EAGLE, a tuning-free framework for anomaly detection. The framework comprises two core components: (1) a PatchCore-based expert model that performs preliminary anomaly detection and ...