The problem of efficient load distribution in modern computer networks and cloud computing systems is becoming increasingly urgent. The traditional Round Robin algorithm distributes requests equally ...

A novel differentiable approach optimizes geometric waveguide coatings, achieving substantial gains in light efficiency and ...

This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake ...

Abstract: Precise pressure control is vital in chemical processes involving pneumatic systems, where stability and responsiveness directly impact product quality and safety. This study presented the ...

experiments should be reproducible experiments should compare different algorithms in the same environment experiments should be prepared in matrix of: 3 different worlds with increasing amount of ...

According to Towards FnB, the global AI in cultured meat market size is calculated at USD 69.13 million in 2026 and is ...

SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

Oncology and tackling chronic issues like obesity are still the big drivers for growth in the biotech world. Combining different types of biological data, like genomics and other ‘omics’, will become ...