The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
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Compression technique makes AI models leaner and faster while they're still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Abstract: Iterative method selection is crucial for solving sparse linear systems because these methods inherently lack robustness. Though image-based selection approaches have shown promise, their ...
Abstract: This paper investigates the optimization of lithium ion (Li-ion) battery internal parameters for an Equivalent Circuit Model (ECM), a critical factor for accurate State of Charge (SoC) and ...
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