Tag: lightweight deep learning

A lightweight dual-branch model called EdgeNetTF achieved 87.01% accuracy recognizing 49 hand gestures from sEMG signals on the NinaPro DB2 ...

A lightweight machine-vision prototype pairs a single industrial camera with a streamlined detector called MOD-DETR and a SORT-based tracker called ...

A 0.15-million-parameter attention-equipped neural network classifies nine wafer-map defect types with 99.88 percent accuracy on a CPU, combining latent-space augmentation ...

Researchers at Jerash University have developed an energy-aware federated deep learning framework that cuts per-round energy use by about 43 ...

A new study combines a lightweight MobileNetV2 model with edge computing to detect network attacks with 94.6 percent accuracy in ...