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 ...
The MarketWatch News Department was not involved in the creation of this content. LAS VEGAS, Sept. 09, 2025 (GLOBE NEWSWIRE) -- Astradyne Inc(TM) (Astral Dynamic Networks(TM)) introduces a newly ...
Introduction: Risk coupling (RC) analysis of underground gas storage (UGS) leakage accident risks is critical to overall natural gas storage safety. Consequently, the interactions among diverse risk ...
Investigators are hoping to find clues as to why the Bayesian superyacht sank off the coast of Sicily 10 months ago, killing seven people. By Emma Bubola and Jeffrey Gettleman The hull of the Bayesian ...
Dynamic Bayesian Network Modeling of Component-Level Radiation Effects’ Impact on System Performance
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback