Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from high noise, impacting image quality and diagnostic accuracy. Supervised learning has helped address this challenge but ...

This paper presents a novel Fuzzy PID-based Recurrent Neural Network (FPIDRNN) controller designed to enhance trajectory control in quadrotor Unmanned Aerial Vehicles (UAVs). Conventional control ...

Purpose: A reduced acquisition time positively impacts the patient's comfort and the PET scanner's throughput. AI methods may allow for reducing PET acquisition time without sacrificing image quality.

--Actelis Networks, Inc., a market leader in cyber-hardened, rapid deployment networking solutions for IoT and broadband applications, today announced its plans to accelerate artificial ...

Next, unlike conventional physics-informed neural networks that only utilize macroscopic physical information, we constrain the training of the neural network by using dynamic metabolic flux analysis ...

FramePack Official implementation and desktop software for "Packing Input Frame Context in Next-Frame Prediction Models for Video Generation". Links: Paper, Project Page FramePack is a next-frame ...