Devdiscourse

Fast and Accurate Water Leak Detection in Distribution Networks Using Deep Anomaly Models

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

AI model helps diagnose often undetected heart disease from simple EKG

Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...
News-Medical.Net

AI enables rapid detection of coronary microvascular dysfunction from standard EKGs

Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...
GitHub

hafil-pixel/iot-network-security

iot_network_sec/ ├── models/ │ ├── attention_autoencoder_simple.py # Main model │ ├── pso_optimizer.py # PSO optimization │ └── artifacts/ │ ├── attention_autoencoder.pkl # Trained model │ └── ...
IEEE

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach

Abstract: This research proposes a lightweight hybrid approach for anomaly detection in correlated IoT sensor data, combining PCA for fast monitoring and Autoencoders for deeper analysis. Validated on ...
GitHub

Variational autoencoder with Kolmogorov-Arnold Network for spatial domain detection.

Experiments were executed on NVIDIA A40 of 46068MiB memory in linux with torch==2.1.0+cu121, torch_geometric==2.3.1, torch-sparse==0.6.18+pt21cu121, and torchvision==0.16.0+cu121. The stkan is an ...
IEEE

Cross-System Few-shot Log Anomaly Detection with Transformer-based Supervised Autoencoder and Data Augmentation

Log anomaly detection provides valuable insights for monitoring and securing information systems. However, for newly deployed systems, the lack of sufficient abnormal log data poses a challenge for ...
Scientific Research Publishing

An, J. and Cho, S. (2015) Variational Autoencoder Based Anomaly Detection Using Reconstruction Probability. Special Lecture on IE, 2, 1-18.

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...
techxplore

New training method helps AI models handle messy, varied medical image data

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...