Abstract: This study introduces a digital twin model approach with Graph Neural Networks (GNNs) to forecast white blood cell (WBC) and absolute neutrophil count (ANC) levels during 6-mercaptopurine (6 ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across gaming, film, virtual reality, and ...

This study aimed to investigate the differences in eye movement characteristics between first reading and rereading and to develop a neural network model for classifying these reading practices. The ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Abstract: Oscillatory Neural Networks (ONN) are inevitable when it comes to solving combinatorial optimization problems. ONNs are also extremely energy efficient for AI workloads compared to ...