We’ve known for a long time that Apple’s eventual goal is to be able to hide both the selfie camera and all of the Face ID components beneath the display so that the screen is completely uninterrupted ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Abstract: Awareness of the impact of component-level radiation response on the system is challenging. This article discusses the radiation response of a power supply system by combining the power ...

Abstract: The prediction of surrounding vehicles' lane-changing intentions and trajectories is critical to the decision-making of autonomous vehicles. However, the precise trajectory prediction is ...

Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California 91016, United States Irell and Manella Graduate School of ...

Introduction: Dynamic Bayesian networks improve the modeling of complex systems by incorporating continuous probabilistic relationships between covariates that change over time. This study aimed to ...