If you love diving underwater or want to experience it through a game, then try Deep. Deep allows players to scuba dive underwater and hunt for precious treasures. You can equip a lot of advanced gear ...

A stealthy Python-based backdoor framework capable of long-term surveillance and credential theft has been identified targeting Windows systems. According to research from Securonix, the malware, ...

The construction of new smart cities has entered a phase of deep development, wherein urban infrastructure networks have evolved into complex heterogeneous systems with multiple coordinated subsystems ...

Deep learning is revolutionizing how anomalies are identified across complex systems. It enables smarter detection by learning patterns directly from large datasets. This shift is helping industries ...

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...

With the rapid development of 6G networks, anomaly detection in network edge intelligence faces significant challenges in system interpretability and trustworthiness. Although machine learning-based ...

ABSTRACT: The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based ...

This repository contains an end-to-end MLOps project that builds, tests, and containerizes a real-time anomaly detection API using time-series data. The Numenta Anomaly Benchmark (NAB) dataset is used ...

In today's digital age, financial transactions are rapidly increasing in both volume and complexity. With the rise of online banking, mobile payments, and cryptocurrency, the need for robust security ...

Professional, modular analysis of historical stock prices using multiple anomaly detection methods (Z-Score, Isolation Forest, DBSCAN, Prophet, Rolling Quantile). Includes multi-ticker comparison, ...