Practical Clean Architecture backend example built with FastAPI. No stateful globals (DI), low coupling (DIP), tactical DDD, CQRS, proper UoW usage. REST API, per ...
Abstract: Unlike other deep learning (DL) models, Transformer has the ability to extract long-range dependency features from hyperspectral image (HSI) data. Masked autoencoder (MAE), which is based on ...
Abstract: Edge-based intelligent data analytics supports the Industrial Internet of Things (IIoT) to enable efficient manufacturing. Incremental learning in the edge-based data analytics has the ...
MST-VAE is an unsupervised learning approach for anomaly detection in multivariate time series. Inspired by InterFusion paper, we propose a simple yet effective multi-scale convolution kernels applied ...