The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Incorporating AI into the development workflow is not simply a byproduct of technology hype; rather, it reflects a change in ...

First, a related and regularized stacked autoencoder (2r-SAE) with unsupervised learning is applied to perform data compression and representation for high-dimensional channel quality information (CQI ...

In wireless sensor networks, effective link quality estimation is the basis of topology management and routing control. Effective link quality estimation can guarantee the transmission of data, as ...

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The update includes features originally launched on the Forerunner 570/970 series, capabilities from the new Venu X1, and several features that are completely new to the Garmin ecosystem. The beta ...

Available automated methods for peak detection in untargeted metabolomics suffer from poor precision. We present NeatMS, which uses machine learning based on a convoluted neural network to reduce the ...

Our method employs an adaptive β-variational autoencoder (adaptive β-VAE) combined with a latent vector-based prediction model. By dynamically tuning the Kullback–Leibler divergence scaling factor (β) ...