Results 121 to 130 of about 696 (152)
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
A multiple filter-wrapper feature selection algorithm based on process optimization mechanism for high-dimensional omics data analysis. [PDF]
Shi Y, Zheng Y, Bai X.
europepmc +1 more source
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete. [PDF]
Al-Shamasneh AR +6 more
europepmc +1 more source
This study introduces a hydraulically steerable catheter with a soft tip in vascular procedures. The steering soft tip achieves a minimal diameter of 2.6 mm and supports a 180° bend. Real‐time shape and position tracking, facilitated by segmentation and endpoint detection techniques, improves navigation.
Jingyi Kang +9 more
wiley +1 more source
An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal. [PDF]
García-Méndez S +5 more
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Quantum Collapse and Computation in an Everett Multiverse. [PDF]
Tamburini F, Licata I.
europepmc +1 more source
This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it examines core principles, real‐world applications, and ongoing challenges.
Lingchen Kong, Yaoyao Fiona Zhao
wiley +1 more source
RMPJ: An ImageJ plugin for morphological information processing in biomedical images. [PDF]
Kimori Y.
europepmc +1 more source

