Results 101 to 110 of about 2,921,645 (302)

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Optimal rapidly-exploring random tree via discrete hierarchical exploration

Journal of King Saud University: Computer and Information Sciences
To address the trade-off between timeliness and optimality in complex-environment path planning, this work proposes DHE-RRT*, an enhanced Rapidly-Exploring Random Tree algorithm with discrete hierarchical exploration.
Zeng Zhaoyang, Hu Bowen, Chang Yufang
doaj   +1 more source

Random cutting and records in deterministic and random trees

, 2006
We study random cutting down of a rooted tree and show that the number of cuts is equal (in distribution) to the number of records in the tree when edges (or vertices) are assigned random labels.
Janson, Svante,, Svante Janson
core   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Prediction and Classification of Patients Length of Stay in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern Nigeria

Journal of Applied Sciences and Environmental Management, 2023
The objective of this paper was to predict and classify the attributes that influences patients Length of Stay (LOS) in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern Nigeria using tree-based machine learning algorithms after data ...
S. Suleiman, U. Usman, A. Bello, M. I. Bunza   +3 more
doaj  

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

The Rowan Tree Church 17th Annual Report, Hallows 1998 ce-Hallows 1999 ce.

, 1999
The Rowan Tree Church is an earth-based religion founded by Rev. Paul Beyerl, a Third Degree Initiate in the Alexandrian Tradition of Wicca, and incorporated on February 4, 1980 in Minneapolis, Minnesota.
Rowan Tree Church
core  

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

A sampling-based multi-tree fusion algorithm for frontier detection

International Journal of Advanced Robotic Systems, 2019
Autonomous exploration is a key step toward real robotic autonomy. Among various approaches for autonomous exploration, frontier-based methods are most commonly used.
Wenchuan Qiao, Zheng Fang, Bailu Si
doaj   +1 more source

Maximum entropy searching

CAAI Transactions on Intelligence Technology, 2018
This study presents a new perspective for autonomous mobile robots path searching by proposing a biasing direction towards causal entropy maximisation during random tree generation.
Rui Jiang, Hui Zhou, Hui Zhou, Han Wang, Shuzhi Sam Ge   +4 more
doaj   +1 more source