Results 61 to 70 of about 77,146 (265)

Automata Approach to XML Data Indexing

Information, 2018
The internal structure of XML documents can be viewed as a tree. Trees are among the fundamental and well-studied data structures in computer science. They express a hierarchical structure and are widely used in many applications.
Eliška Šestáková, Jan Janoušek
doaj   +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

Rule Generation Based on Novel Kernel Intuitionistic Fuzzy Rough Set Model

IEEE Access, 2018
This paper develops a novel kernel intuitionistic fuzzy rough set (KIFRS) model as a hybrid model to improve the effects of rule generation based on rough sets.
Kuo-Ping Lin, Kuo-Chen Hung, Ching-Lin Lin   +2 more
doaj   +1 more source

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

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Unifying relations for scattering amplitudes

Journal of High Energy Physics, 2018
We derive new amplitudes relations revealing a hidden unity among a wideranging variety of theories in arbitrary spacetime dimensions. Our results rely on a set of Lorentz invariant differential operators which transmute physical tree-level scattering ...
Clifford Cheung, Chia-Hsien Shen, Congkao Wen   +2 more
doaj   +1 more source

Elastic Properties and Thermal Expansion Behavior of a Polycrystalline VMnFeCoNi High‐Entropy Alloy

Advanced Engineering Materials, EarlyView.
The high‐entropy alloy (HEA) V20Mn20Fe20Co20Ni20 (composition in at.%) can be made single‐phase face‐centered cubic (FCC) when annealed above 1338 K followed by water quenching. In this state, the alloy exhibits the greatest strength‐ductility combination of any quinary single‐phase FCC HEA.
Guillaume Laplanche, Marie Münchhalfen, Aditya Srinivasan Tirunilai, Jürgen Schreuer   +3 more
wiley   +1 more source

基于集对理论的砂轮主轴转动系统故障树分析

Jixie chuandong, 2014
On the basis of fault tree analysis of grinding wheel spindle rotation system,the set pair analysis theory considering the uncertain work state of random,mediation and unknown etc is injected,then the set pair-fault tree model combination of these two ...
刘英, 陈志恒, 陈宇
doaj  

Enhancing the Color Set Partitioning in Hierarchical Tree (SPIHT) Algorithm Using Correlation Theory [PDF]

Journal of Computer Science, 2011
Problem statement: Efficient color image compression algorithm is essential for mass storage and the transmission of the image. The compression efficiency of the Set Partitioning in Hierarchical Tree (SPIHT) coding algorithm for color images is improved by using correlation theory.
openaire   +1 more source

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source