Constant linear reminders of where one is allowed to be, lest someone literally run afoul of those boundaries and the seemingly endless rules that govern them.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Constant-frequency sliding-mode and linear proportional integral (PI) cascaded controllers (internal current loop and external output voltage control loop) for 12-pulse thyristor rectifiers are ...

This paper proposes a Transformer-based processor supporting energy-efficient fine-tuning with batch-iteration-matrix multi-level optimizations. It has three key features: 1) An exponent-stationary re ...

ABSTRACT This study was carried out for two purposes: comparing performances of Regression Tree and Automatic Linear Modeling and determining optimum sample size for these methods under different ...

Dear Dr. Mathys, we are interested in the Marshall et al Plos Comp Biology (2016) paper and their use of the HGF "whatworld" functions to model behaviour and logRT in their task. We would like to do ...

The algorithms for the regression analyses for these models were developed using the least squares and Gauss-Newton methods according to Lai et al. (2017). The least squares method aims to minimize ...

Fenton and Fenton-like processes are important oxidation cycles in the atmospheric aqueous particle phase, yet their mechanisms in the presence of iron complexes remain incompletely understood. This ...