Abstract: Complex-valued neural network is a kind of learning model which can deal with problems in complex domain. Fully complex extreme learning machine (CELM) is a much faster training algorithm ...

Abstract: The optimization of real scalar functions of quaternion variables, such as the mean square error or array output power, underpins many practical ...

The Samsung Galaxy A37 excels in offering a premium in-hand feel with Gorilla Glass Victus+ on both sides, a comfortable build, well-designed and long-supported software, and a reliable 50MP main ...

As modern computing becomes limited by energy consumption, there is growing interest in physical computing paradigms that can operate closer to fundamental thermodynamic limits. Thermodynamic ...

Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt ...

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FLUX is an educational deep learning framework that reimplements the core functionality of PyTorch and TensorFlow from scratch, using only C++ and the Standard Template Library. No external ...

Quantification of total cardiovascular risk is essential for individualizing hypertension treatment. This study aimed to develop and validate a novel, machine-learning–derived model to predict ...