Nature

Multimodal deep learning for anomaly detection in urban infrastructure networks: improving ...

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 ...
Nature

A fusion approach of YOLOv8 and CNN-Transformer for End-to-End road anomaly detection

The suggested framework uses YOLOv8s to automatically eliminate road backgrounds, reducing interference and increasing the precision of object detection. This fusion approach uses a CNN encoder and a ...
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, ...