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To handle complex non-linearity and latent dynamics in industrial processes, this paper proposes a kernel latent vector auto-regressive (K-LaVAR) algorithm for nonlinear dynamic process modeling and ...
The problem of traffic dynamics prediction, aiming to capture the complicated patterns of urban dynamics and forecast short-term future traffic status, is essential for managing transportation systems ...
Overview This project employs innovative machine learning approaches to analyze habitat suitability for various hornbill species using environmental data from NASA, Sentinel-1B, and multiple ...
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