Abstract: Identifying attacks on Internet of Things (IoT) systems through anomaly detection remains a critical area of research. One common and effective strategy in this field involves monitoring ...

It also includes an anomaly detection system using an autoencoder model to flag unusual MRI images. The trained models are made accessible through a FastAPI web service, and the training process is ...

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Abstract: The primary challenge facing the field of magnetic anomaly detection (MAD) currently lies in how to effectively improve detection performance in low signal-to-noise ratio (SNR) and real ...

CoreEDAC is an RTL generator that produces an Microsemi FPGA-optimized error detection and correction (EDAC) core. In many applications, storage elements like SRAM ...