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 ...

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 ...

SK Telecom developed an AI-based anomaly detection integrated service utilizing AI cybersecurity technology ScamGuard and applied it to IBK Industrial Bank and its own AI service adot on the 8th.

Executed Fine-tuning & Benchmarking, optimizing 12+ LLMs (Gemma-family, Mistral, LLaMA, etc) across 6+ datasets (GSM8K, BoolQ, IMDB, Alpaca-GPT4 & more). Delivered a research-level contribution—model ...

Peking University First Hospital Ningxia Women and Children’s Hospital, (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), Yinchuan 750001, P. R. China ...