This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...
The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
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Robotic assembly lines gain flexibility as algorithm plans tasks, teams and floor layouts
Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile ...
Abstract: To address the dynamic optimization challenges in multi-cycle agricultural planting planning, where traditional linear programming exhibits inadequate adaptability to non-linear ...
In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such as SGD and Adam. The core of these strategies relies on a key piece of ...
Abstract: This paper introduces the Marine Predator Algorithm (MPA) for optimal pattern synthesis in linear antenna arrays. Its performance is evaluated in terms of Peak Sidelobe Level (PSLL), mean ...
State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
SCE-UA is a lightweight Python package implementing the Shuffled Complex Evolution (SCE-UA) algorithm for global optimization. Designed primarily for hydrological model calibration, it leverages NumPy ...
The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates ...
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