Abstract: With the advancement of technology, the field of multi-channel time series forecasting has emerged as a focal point of research. In this context, spatio-temporal graph neural networks have ...
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What if dark energy is wrong? A new model shakes up cosmology
For a quarter century, cosmology has rested on a simple but audacious idea: that a fixed “cosmological constant” drives the ...
Abstract: Human activity recognition (HAR) using smartphone sensors have been recently studied in various applications including healthcare, fitness, and smart home. Their recognition accuracy often ...
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This work examines the influence of the residence-time distribution (RTD) of surface elements on a model of cross-flow microfiltration that has been proposed recently (Hasan et al., 2013). Along with ...
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