Abstract: We investigate the feasibility of deriving surrogate ordinary differential equations (ODEs) from individual-based models (IBMs) simulated in the PhysiCell platform. As a preliminary ...

Abstract: This research designs and develops a multi-objective prediction model, which addresses the complex predictive tasks of diversified hierarchical data structures through a series of models, ...

Cybersecurity researchers have disclosed details of a new campaign that leverages a combination of social engineering and WhatsApp hijacking to distribute a Delphi-based banking trojan named ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

Fee-for-service financial planning models continue to grow in popularity, especially subscription-based models, according to a new AdvicePay report. The 2025 AdvicePay Fee-for-Service Industry Trend ...

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Using OLS regression (and Ridge and Lasso to compare), we worked on a project that uses a dataset to predict housing prices based on user inputs on house details.