IEEE

Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset

Abstract: Network anomaly detection plays a crucial role as it provides an effective mechanism to block or stop cyberattacks. With the recent advancement of Artificial Intelligence (AI), there has ...

Schneider Electric To Acquire Cognite For Its’ Cutting-Edge Technology

Schneider Electric is acquiring Cognite, a provider of Agentic AI solutions, at a hefty 18.2 revenues. Cognite is growing ...
pv magazine USA

Smart meter app developer Sense helps utilities cut back on vegetation-related outages

Pilot with Southern Company creating warning signal database of anomalies for branches, wildfires, failing transformers and ...
techtimes

GitHub Malicious Repositories: 10,000 Trojan Clones Evade Detection for Over a Year

A security researcher published findings today showing that roughly 10,000 GitHub repositories have been quietly delivering Trojan malware to developers for over a year — some for considerably longer ...
leewayhertz

AI in anomaly detection: Use cases, methods, algorithms and solution

In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...
Semiconductor Engineering

New Frontiers In Fault Detection And Classification

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...
TechRepublic

Payment Fraud Detection and Prevention: Everything to Know

Here are the most common and latest advancements in payment fraud strategies and payment fraud prevention tools for protecting your business. Key takeaways: With AI technology, payment fraud and fraud ...
IEEE

Few-Sample Anomaly Detection in Industrial Images With Edge Enhancement and Cascade Residual Feature Refinement

Abstract: In industrial inspection scenarios, the scarcity of data and the varying appearances of anomalies pose significant challenges for existing methods in accurately localizing anomaly edges and ...
techxplore

A two-stage framework to improve LLM-based anomaly detection and reactive planning

Large language models (LLMs), such as OpenAI's ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) ...
Hosted on MSN

Study Looks at Depression, Stress in Both Parents After Detection of Fetal Anomalies

MONDAY, July 8, 2024 (HealthDay News) -- Prospective parents experience heightened levels of depression and traumatic stress after the detection of fetal anomalies leading to termination of pregnancy, ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...