Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

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

Abstract: Recommender systems have become immensely popular and widely used currently. Multi-objective evolutionary algorithms (MOEAs) have demonstrated successful applications in this field by taking ...

Abstract: This study discusses the performance bottlenecks of traditional image recognition algorithms in terms of feature extraction, network structure design, and computing resource allocation. A ...

Numerical analysis is the branch of mathematics devoted to the study of algorithms for the approximate solution of problems that often have no closed‐form answer. At its core, numerical analysis seeks ...

The code in this repository complements the paper "Bridging the Gap Between Deterministic and Probabilistic Approaches to State Estimation" by Lev Kakasenko, Alen Alexanderian, Mohammad Farazmand, and ...

📋 About niarules is an R framework designed for mining numerical association rules through the utilization of nature-inspired algorithms for optimization. Drawing inspiration from both the NiaARM ...

Discover why the 'Mother of All Sciences' in 2026 is mathematics. Discover its significance in AI, high-energy physics, and ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

1 Economic and Technical Research Institute of State Grid Shaanxi Electric Power Company, Xi’an, China 2 Shaanxi Local Electric Power (Group) Co., Ltd., Xi’an, China Accurate prediction of goaf ...

Computational biophysics uses numerical algorithms to study the physical principles underlying biological phenomena and processes. It provides a means of approximating solutions for theoretical ...