A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

Abstract: As modern System-on-chip (SoC) designs grow in complexity, traditional debug mechanisms involving manual waveform and log analysis struggle to keep up with the volume and intricacies of ...

Successful learners will receive a certificate of completion from IIT Madras Pravartak. IIT Madras Pravartak Technologies Foundation, the Technology Innovation Hub of the Indian Institute of ...

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...

This is the official code for a PyTorch implementation of Neural Transformation Learning reported in the paper Neural Transformation Learning for Deep Anomaly ...

The ability to detect anomalies in industrial processes is critical for ensuring efficiency, safety, and reliability. Among the various benchmark datasets available for fault detection and diagnosis, ...

During my summer internship at OMV, I had the opportunity to explore the chemical processes on-site alongside the experts there. One question kept lingering in my mind: How can we optimize and ...

In the modern age, substantial advancements have been made in the realm of Digital Technology, the Internet of Things (IoT), and diverse portable communication devices. The tremendous proliferation of ...

With the rapid growth of data volume in digital library and the increasingly complex network environment, traditional network security measures are no longer able to meet their security needs. In ...

Anomaly detection is crucial for the stable operation of mechanical systems, securing financial transactions, and ensuring network security, among other critical areas. Presently, Generative ...

From strategic consulting to solution development and ongoing support, our comprehensive generative AI services are specifically designed to propel advancements within your business. Our robust GenAI ...

Abstract: In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns that deviate from ...