This is a tensorflow implementation of the paper "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling" 3dgan_mit_biasfree.py 3dgan as mentioned in the paper, ...

Abstract: In real-world industrial scenarios, fault detection faces the widely recognized challenge of data imbalance, which not only refers to the scarcity of fault data but also includes the ...

Abstract: Gears play an indispensable role in the transmission systems of advanced industrial equipment. Timely detection of anomalies in gear components is crucial for ensuring operational efficiency ...

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...

This is a code repository for a paper with title "Mitigating Adversarial Attacks in Federated Learning Based Network Traffic Classification Applications using Secure Hierarchical Remote Attestation ...

Artificial Intelligence (AI) is at the centre of a global technological arms race, with enterprises and governments pushing the boundaries of what’s possible. The launch of DeepSeek has once again ...

The precise segmentation of the optic cup (OC) and the optic disc (OD) is important for glaucoma screening. In recent years, medical image segmentation based on convolutional neural networks (CNN) has ...

Automatic detection and alarm of abnormal electrocardiogram (ECG) events play an important role in an ECG monitor system; however, popular classification models based on supervised learning fail to ...