Abstract: This paper considers the cooperative search for stationary targets by multiple unmanned aerial vehicles (UAVs) with limited sensing range and communication ability in a dynamic threatening ...
Abstract: We propose a new algorithm for training neural networks with binary activations and multi-level weights, which enables efficient processing-in-memory circuits with embedded nonvolatile ...
Objective: This study aims to develop and evaluate an artificial intelligence-based model for cervical cancer subtyping using whole-slide images (WSI), incorporating both patch-level and WSI-level ...