Results 91 to 100 of about 105,086 (297)
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
, 2012 This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated independently or modeled in different simulation spaces.
A.M. Turing +6 more
core +1 more source
Advanced Engineering Materials, EarlyView.This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert +7 more
wiley +1 more source
Nonparametric Hyperbox Granular Computing Classification Algorithms
Information, 2019 Parametric granular computing classification algorithms lead to difficulties in terms of parameter selection, the multiple performance times of algorithms, and increased algorithm complexity in comparison with nonparametric algorithms.
Hongbing Liu, Xiaoyu Diao, Huaping Guo
doaj +1 more source
Prediction and analysis of time series data based on granular computing. [PDF]
Front Comput Neurosci, 2023 Yin Y.
europepmc +1 more source
, 2015 We evaluate a version of the recently-proposed classification system named Optimized Dissimilarity Space Embedding (ODSE) that operates in the input space of sequences of generic objects.
Livi, Lorenzo +2 more
core +1 more source
Perspectives of granular computing [PDF]
2005 IEEE International Conference on Granular Computing, 2005 Granular computing emerges as a new multi-disciplinary study and has received much attention in recent years. A conceptual framework is presented by extracting shared commonalities from many fields. The framework stresses multiple views and multiple levels of understanding in each view. It is argued that granular computing is more about a philosophical
openaire +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Methods of parallel computation applied on granular simulations
EPJ Web of Conferences, 2017 Every year, parallel computing has becoming cheaper and more accessible. As consequence, applications were spreading over all research areas. Granular materials is a promising area for parallel computing.
Martins Gustavo H. B. +1 more
doaj +1 more source
Research on Embedded Multifunctional Data Mining Technology Based on Granular Computing. [PDF]
Comput Intell Neurosci, 2022 Li J, Tian X.
europepmc +1 more source