ECG Signal (raw) │ Preprocessing - Standardization (Z-score normalization) - Trim length to be divisible by 8 - Reshape to (timesteps × 1 channel) │ 1D CNN Autoencoder ├── Encoder (Conv1D + MaxPooling ...

A comprehensive, production-ready fraud detection system using machine learning anomaly detection techniques. This system includes data preprocessing, feature engineering, multiple ML models ...

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 ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

The growing dependency on the Internet in many sectors introduced many security challenges for traditional security systems and techniques. However, intrusion detection systems (IDS) and other ...

The computer vision-driven smart manufacturing framework enables real-time monitoring and anomaly identification while seamlessly fitting into industrial settings. Current deep learning detection ...

We showcase a novel unsupervised learning method with a Convolutional Variational Autoencoder (CVAE) model that can automatically classify and cluster different types ...