IEEE

BNResNet: Batch Normalization-Inspired Deep Bottleneck Residual Architecture for Aerial Scene Recognition in Low-Contrast Remote Sensing Images

Abstract: Remote sensing (RS) images are evolving daily for their applications in surveillance, planned urbanization, law enforcement, climate change detection, agriculture, and monitoring ...
GitHub

Transform mathematical images to LaTeX, chemistry structures to SMILES, and documents to markdown with security-first design. The geodesic path to mathematical OCR in Ruby.

See MCP_SETUP.md for complete MCP server setup and configuration. For PDFs larger than 1.2MB, the gem automatically uses intelligent batching to prevent "request too large" errors. This happens ...
IEEE

Adaptive Batch Normalization with Latency-Aware Edge Computing in Self-Organizing Networks for Optimizing IoT Performance in Critical Applications

Abstract: The rapid growth of Internet of Things (IoT) devices in critical applications, such as healthcare and autonomous vehicles, necessitates ultra-low latency and high reliability. The rapid ...