Results 81 to 90 of about 16,691 (298)

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Boundary Kernels for Distribution Function Estimation

Revstat Statistical Journal, 2013
Boundary effects for kernel estimators of curves with compact supports are well known in regression and density estimation frameworks. In this paper we address the use of boundary kernels for distribution function estimation.
Carlos Tenreiro
doaj   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Design, Modeling, and Control of a Soft Robotic Diaphragm‐Assist Device in a Respiratory Simulator

Advanced Intelligent Systems, EarlyView.
A soft robotic diaphragm‐assist device using fabric‐based pneumatic actuators with a 2‐step control system to optimize synchronization and support is introduced. This system can detect the initiation of breathing to trigger assistance and regulate pressures to provide the correct level of inhalation augmentation. Validation and testing are completed on
Diego Quevedo‐Moreno, Sang‐Yoep Lee, Jonathan Tagoe, Vishnu Emani, Jean Bonnemain, Ellen T. Roche   +5 more
wiley   +1 more source

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables [PDF]

Journal of Sciences, Islamic Republic of Iran, 2005
In this paper, we obtain the upper exponential bounds for the tail probabilities of the quadratic forms for negatively dependent subgaussian random variables.
doaj  

A law of the iterated logarithm for small counts in Karlin’s occupancy scheme

Modern Stochastics: Theory and Applications
In the Karlin infinite occupancy scheme, balls are thrown independently into an infinite array of boxes $1,2,\dots $ , with probability ${p_{k}}$ of hitting the box k.
Alexander Iksanov, Valeriya Kotelnikova
doaj   +1 more source

Measures and the Law of the Iterated Logarithm

, 2009
Let m be a unidimensional measure with dimension d. A natural question is to ask if the measure m is comparable with the Hausdorff measure (or the packing measure) in dimension d.
Bhouri, Imen, Heurteaux, Yanick
core   +1 more source

Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars

Advanced Intelligent Systems, EarlyView.
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
wiley   +1 more source

Asymptotic Behaviors of the Lorenz Curve for Left Truncated and Dependent Data [PDF]

Journal of Sciences, Islamic Republic of Iran, 2012
The purpose of this paper is to provide some asymptotic results for nonparametric estimator of the Lorenz curve and Lorenz process for the case in which data are assumed to be strong mixing subject to random left truncation.
M. Bolbolian Ghalibaf
doaj  

Precise Real‐Time Measurement of Liquid Viscosity Using Digital Video Data

Advanced Intelligent Systems, EarlyView.
Frame‐by‐frame image similarity analysis is employed to obtain the viscosity of moving liquids in real time. The method allows for online implementation even in harsh environments, replacing complex and invasive experiments. Quantitative knowledge of liquid viscosity is of fundamental importance in many areas of materials synthesis and processing ...
Zhiwen Pan, Tina Waurischk, Alexis Duval, Ralf Müller, Joachim Deubener, N. M. Anoop Krishnan, Katrin Wondraczek, Lothar Wondraczek   +7 more
wiley   +1 more source