Results 121 to 130 of about 1,420,545 (206)
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu+5 more
wiley +1 more source
Hierarchical Learning for Robotic Assembly Tasks Leveraging Learning from Demonstration
This paper presents a hierarchical learning approach for robotic assembly by integrating Learning from Demonstration with Deep Reinforcement Learning. The method enables long‐horizon assembly tasks with minimal demonstrations and without explicit task descriptions, improving adaptability and efficiency. It reduces reliance on predefined task sequences,
Siddharth Singh, Qing Chang, Tian Yu
wiley +1 more source
A clockmaker's mathematics: a technology-based approach to the mathematical works of Jost Bürgi (1552-1632). [PDF]
Moosbrugger D.
europepmc +1 more source
An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques
Ultra‐pure silicon single‐crystals can be grown by the Floating Zone (FZ) method. This study investigates intricate relationships between process stability measures and multiple growth parameters by applying data mining techniques on FZ simulations. Regression Trees identified multivariate relationships that help explaining complex interactions between
Lucas Vieira+3 more
wiley +1 more source
A machine learning computational approach for the mathematical anthrax disease system in animals. [PDF]
Sabir Z, Simbawa E.
europepmc +1 more source
Electro‐Thermal Response of Thin Film Heaters Based on Embedded Periodic Metallic Mesh
“This study systematically investigates the effect of periodic metallic mesh topology on electrical and electro‐thermal behaviours of thin thermal heaters. The derived closed‐form expressions capture the dependence of sheet resistance on design parameters, providing a crucial tool for rapidly exploring a vast design space and accelerating design and ...
Dimitrios Charaklias+3 more
wiley +1 more source
Information-Theoretic Concepts in Physics. [PDF]
Cuffaro ME, Hartmann S.
europepmc +1 more source
Crystal Structure Prediction of Cs–Te with Supervised Machine Learning
High‐throughput density functional theory calculations combined with machine learning models are employed to predict stable Cs– Te binary crystals. By systematically evaluating various structural descriptors and learning algorithms, the superiority of models based on atomic coordination environments is revealed.
Holger‐Dietrich Saßnick+1 more
wiley +1 more source
Computational analysis of a mathematical model of hookworm infection. [PDF]
Shafique U+6 more
europepmc +1 more source