Abstract: Hyperspectral anomaly detection (HAD) is an important task in remote sensing for identifying pixels with anomalous spectral signatures that deviate from their local background. Recently, low ...
ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...
PHOENIX — The first governing board meeting for a Phoenix school district since one of its own students was killed on campus was packed Thursday night with many demanding change. Last month, ...
Abstract: Multivariate time series anomaly detection has shown potential in various fields, such as finance, aerospace, and security. The fuzzy definition of data anomalies, the complexity of data ...
This repository contains source code for CRAS implemented with PyTorch. CRAS aims to address inter-class interference and intra-class overlap in multi-class anomaly detection through center-aware ...
Can I rewrite a PyTorch YuNet face detection CNN model directly in GGML? If not, is it possible to convert my PyTorch YuNet (.pth) or ONNX model to GGUF format and run inference with it?
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