The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Abstract: Due to the fact that the Polyvinyl Chloride (PVC) polymerization process is a time-varying, nonlinear process with large time delays, there are many uncertainties and external disturbances ...
Abstract: The flying-wing aircraft control problem is a major concern. In this paper, a new control strategy is introduced. First, a Feedforward neural network (FNN) modeling is introduced. Then, a ...
AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling proactive system optimization and enhanced performance. The convergence of machine ...
Neural networks can store and recall information. In a recall task where the desired output pattern is identical to the input pattern, several patterns can be stored ...
Artificial intelligence (AI) has emerged as a transformative force across industries, driven by advances in deep learning and natural language processing, and fueled by large-scale data and computing ...
During the LPBF process, the part is subjected to continual heating and cooling cycles. This so-called thermal history touches every aspect of the part’s quality, from its microstructure, defects, ...
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