Vijay Kumar Soni, a digital payments expert, integrates engineering and AI to build secure, scalable financial platforms. His ...

Finally, an empirical mask mechanism is proposed, which is guided by the prior knowledge of the anomaly characteristics. Validated on the real-world TFDS-based dataset, the proposed model improves the ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Real-time vulnerability detection and anomaly reporting tools enable cybersecurity teams to swiftly identify and neutralize threats before they intensify.

In this work, we propose a VAE-LSTM hybrid model as an unsupervised approach for anomaly detection in time series. Our model utilizes both a VAE module for forming robust local features over short ...

In the encoder stage of the VAE, both the VoxelEncoder and PlaneDownsampler classes perform downsampling. Similarly, in the decoder, both the VoxelDecoderBlock and PlaneUpsampler perform ...