But Agatha Christie also just started teaching a writing class. “I must confess,” she ... of academic researchers — who wrote a script using her writings and archival interviews — and ...

Abstract: Network traffic anomaly detection is an important technology in cyberspace ... heuristic intuitionistic fuzzy time series forecasting models. At each moment, using the multi-dimensional ...

Attackers inject malicious code into AI models hosted on the public repositories. These models allow attackers to manipulate ...

Detective Sergeant Chris Cowell, from the force's County Lines Investigation Unit, said: “These two men ran a sophisticated drug network supplying Class A drugs to customers in various towns ...

“Many are using AI to refine their value propositions and attract investors in fields including healthcare and finance. Others are building niche businesses aimed at a local customer base as ...

(That wasn’t an anomaly ... class, devise their study guides and practice tests, summarize novels and textbooks, and brainstorm, outline, and draft their essays. STEM students are using AI ...

This project is my attempt to demystify anomaly detection in network traffic using machine learning. It's a self-guided research-backed implementation aimed at combining my knowledge of Python, ...

Abstract: Anomaly detection in network traffic is ... machine learning models for detecting anomalies in network traffic, specifically focusing on their effectiveness in addressing challenges such as ...

Random Forest for supervised anomaly classification K-Means Clustering for unsupervised anomaly discovery Streamlit Dashboard for real-time anomaly visualization ...