In the fast-paced world of marketing and sales, efficiency and agility are key. That’s why the Microsoft Customer and Partner Solutions (MCAPS) organization has embarked on an exciting journey to ...
ABSTRACT: An evolutionary nature-inspired Firefly Algorithm (FA) is employed to set the optimal osmotic dehydration parameters in a case study of papaya. In the case, the functional form of the ...
You will be redirected to our submission process. Process modeling and simulation is an emerging field using computational technologies to support design, optimisation, intensification, scale-up and ...
Abstract: With the intensification of manufacturing competition and the diversification of customer demand, the machining industry is facing unprecedented challenges. In order to improve production ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
McKetta Department of Chemical Engineering and Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas 78712, United States ...
Abstract: Accurate and efficient modeling of lateral double-diffused MOS (LDMOS) devices is critical for process optimization and reliability analysis, especially under limited simulation budgets.
New: in addition to the original DPO algorithm, this repo now supports 'conservative' DPO and IPO. For conservative DPO, you just need to additionally pass the parameter loss.label_smoothing=X for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback