GitHub

Network Intrusion Detection System (NIDS)

network-intrusion-detection-system/ ├── src/ │ ├── __init__.py │ ├── nids_engine.py # Core NIDS engine │ ├── packet_processor.py ...
GitHub

desireeye/Self-Adaption-cloud-infrastructure-Using-machine-learning-based-anomaly-detection

src/ # Core system ├── monitoring/ # Resource collection ├── preprocessing/ # Data cleaning & feature engineering ├── anomaly_detection/ # ML model (Isolation Forest) ├── adaptive_engine/ # Decision ...
IEEE

Hybrid Dual-Heterogeneous Knowledge Distillation Network for Anomaly Detection in Retinal OCT Images

Abstract: Unsupervised medical anomaly detection aims to identify abnormal images by training exclusively on normal samples, thereby enabling the detection of disease related irregularities without ...
Scientific Research Publishing

Real-Time Cyber Monitoring and Threat Detection System with Hybrid AI Analysis ()

School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China. The rapid expansion of the Internet of Things (IoT), cloud computing, and remote work ...
Hosted on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Aviation Week

AirACT 747F Excursion Prelim Report Highlights Thrust-Lever Anomaly

A preliminary report by the Hong Kong Air Accident Investigation Authority (AAIA) into the runway excursion of an AirACT Boeing 747-400F points to asymmetric thrust during landing as a key factor ...
IEEE

Multimodal Industrial Anomaly Detection via Attention-Enhanced Memory-Guided Network

Abstract: Anomaly detection is a key technology in quality control for automated production lines. Currently, 2D-based anomaly detection methods fail to identify geometric structure anomalies in ...