New analysis provides mathematical and behavioral economics evidence supporting the accelerated payoff debt elimination ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning (ML) is being used in separation science, we interviewed Emery Boston from ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Abstract: This paper presents an extended gradient-based optimization framework for optimal control problems governed by general conformable fractional derivatives (GCFDs), which unify various ...
Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns and to ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Abstract: The attributed scattering center (ASC) model provides a concise representation of high-frequency electromagnetic scattering of targets, making it widely applicable to synthetic aperture ...
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