The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...
Abstract: This study evaluates six intrusion detection models using the UNSW-NB15 dataset, which serves as a modern benchmark encompassing diverse attack types and authentic traffic conditions. We ...
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
A long discussion during a prominent cyber event in Dubai highlighted how Security Information and Event Management has evolved far beyond log aggregation and static alerts into intelligent, ...
The Data Analysis Software Market was valued at USD 300 billion in 2024 and is projected to reach USD 500 billion by 2033, growing at a CAGR of 7.2% during the forecast period from 2026 to 2033. This ...
Abstract: LoRaWAN has become one of the most widely adopted LPWAN technologies, but its large-scale use has also exposed several persistent security weaknesses. Recent studies show that unprotected ...
src/ # Core system ├── monitoring/ # Resource collection ├── preprocessing/ # Data cleaning & feature engineering ├── anomaly_detection/ # ML model (Isolation Forest) ├── adaptive_engine/ # Decision ...
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM ...
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