Results 61 to 70 of about 599,706 (282)

A Concept of a Digital and Traceable Manufacturing Documentation Based on Formalized Process Description Applied on Composite Aircraft Moveable

Advanced Engineering Materials, EarlyView.
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker, Dominik Delisle, Christian Krombholz, Martin Rädel, Frank Dressel   +4 more
wiley   +1 more source

A novel deep learning diagnosis scheme for rotating machinery using adaptive local iterative filtering and ensemble hierarchical extreme learning machine

Advances in Mechanical Engineering, 2019
There are many hyper-parameters to be tuned in both machine learning model and deep learning model, and the structure of the deep learning model is large and complicated, making it extremely difficult for fault-feature extraction and classification.
Yu Tian, Xiaohui Lei, Xiaolian Liu, Mei Liu, Xin Wen, Hao Wang   +5 more
doaj   +1 more source

BELMKN: Bayesian Extreme Learning Machines Kohonen Network [PDF]

Algorithms, 2018
This paper proposes the Bayesian Extreme Learning Machine Kohonen Network (BELMKN) framework to solve the clustering problem. The BELMKN framework uses three levels in processing nonlinearly separable datasets to obtain efficient clustering in terms of accuracy.
J. Senthilnath, Sumanth Simha C, Nagaraj G, Meenakumari Thapa, Indiramma M   +4 more
openaire   +3 more sources

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, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Hybrid intelligent deep kernel incremental extreme learning machine based on differential evolution and multiple population grey wolf optimization methods

Automatika, 2019
Focussing on the problem that redundant nodes in the kernel incremental extreme learning machine (KI-ELM) which leads to ineffective iteration increase and reduce the learning efficiency, a novel improved hybrid intelligent deep kernel incremental ...
Di Wu, Zong Shun Qu, Feng Jiao Guo, Xiao Lin Zhu, Qin Wan   +4 more
doaj   +1 more source

Application of Empirical Mode Decomposition and Extreme Learning Machine Algorithms on Prediction of the Surface Vibration Signal

Energies, 2021
Accurately predicting surface vibration signals of diesel engines is the key to evaluating the operation quality of diesel engines. Based on an improved empirical mode decomposition and extreme learning machine algorithm, the characteristics of diesel ...
Yan Shen, Ping Wang, Xuesong Wang, Ke Sun   +3 more
doaj   +1 more source

On the Machine Learning Techniques for Side-channel Analysis [PDF]

, 2016
Side-channel attacks represent one of the most powerful category of attacks on cryptographic devices with profiled attacks in a prominent place as the most powerful among them.
Guilley, Sylvain, Heuser, Annelie, Picek, Stjepan   +2 more
core  

What does fault tolerant Deep Learning need from MPI?

, 2017
Deep Learning (DL) algorithms have become the de facto Machine Learning (ML) algorithm for large scale data analysis. DL algorithms are computationally expensive - even distributed DL implementations which use MPI require days of training (model learning)
Amatya, Vinay, Daily, Jeff, Siegel, Charles, Vishnu, Abhinav   +3 more
core   +1 more source

Nanoindentation Criteria for Combinatorial Thin Film Libraries

Advanced Engineering Materials, EarlyView.
Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
wiley   +1 more source

Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine

IEEE Access, 2020
Multiple-instance learning (MIL) can solve supervised learning tasks, where only a bag of multiple instances is labeled, instead of a single instance.
Peipei Wang, Xinqi Zheng, Junhua Ku, Chunning Wang   +3 more
doaj   +1 more source