Learns the normal patterns in network traffic data Automatically removes highly correlated features Detects anomalies based on reconstruction error Provides ...

Federated learning (FL) offers a decentralized alternative; however, many existing FL-based IDS frameworks ... This framework integrates anomaly detection and classification using multi-layer ...

In this paper, we show that simple 1D-CNN and LSTM models on an ultra-low-power device (Nicla Sense ME) optimized for edge-based industrial anomaly detection can achieve approximately 98 ...

Abstract: In real-world industrial scenarios, fault detection faces the widely recognized ... we propose a new contrastive conditional adversarial autoencoder for IOSFD. It constructs an end-to-end ...

Rather than wielding authority for its own sake, Ardern emphasises the importance of empathy, principled leadership, and purpose-driven politics. It’s a vision that stands in depressing contrast to ...

[paper] [code] [Kim2025] GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection in Arxiv, 2025. [paper] [code] [Chao2025] AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly ...

To address the limitations of current techniques, this paper presents an improved object detection method for autonomous driving based on a detection transformer (DETR). First, we introduce a ...