Abstract: This study makes significant contributions to the field by examining the transformative role of big data and artificial intelligence (AI) in advancing Sustainable Development Goals (SDGs), ...
Abstract: This letter proposes a novel Data-Driven (DD) method for controlling unknown input-affine nonlinear systems. First, we estimate the system dynamics from noisy data offline through Subspace ...
Abstract: Causal discovery is the task of finding causal relationships between random variables from observed data. Typically, one assumes that the causal relationships can be represented by a ...
Abstract: This paper investigates the impact of children's programming fluency and its relationship to the structure of the programming code, aiming to determine the best age to start teaching ...
A new computational method reveals a faster way to explore intricate quantum systems, pointing toward emerging applications in next-generation computing. Credit: Stock A new quantum-inspired algorithm ...
Abstract: This study introduces a novel Convolutional Long Short-Term Memory (ConvLSTM) network for steel structure damage detection, aimed at enhancing the accuracy and reliability of structural ...
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