Multiple ensemble neural network models with fuzzy response aggregation for predicting COVID-19 time series: the case of Mexico

P Melin, JC Monica, D Sanchez, O Castillo - Healthcare, 2020 - mdpi.com
In this paper, a multiple ensemble neural network model with fuzzy response aggregation for
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …

Automated quantification of small defects in ultrasonic phased array imaging using AWGA-gcForest algorithm

J Zhao, K Yang, X Du, S Yao, Y Zhao - Nondestructive Testing and …, 2024 - Taylor & Francis
The imaging quality of ultrasonic phased array technology significantly affects the
quantification of small defects inside metals. Moreover, traditional manual evaluation …

Auto-adaptive multilayer perceptron for univariate time series classification

FA Del Campo, MCG Neri, OOV Villegas… - Expert Systems with …, 2021 - Elsevier
Abstract Time Series Classification (TSC) is an intricate problem that has encountered
applications in various science fields. Accordingly, many researchers have presented …

[HTML][HTML] Correlation between solid propellant failure and interface debonding in solid rocket motors

M Lei, S Ren, E Chen, Z Zhang, J **ao, L Wen, X Hou - Polymer Testing, 2022 - Elsevier
In the traditional integrity analysis of solid rocket motors, solid propellants failure and
propellant-liner interface debonding were intentionally differentiated. This empirical …

A pixel-level weak supervision segmentation method for typical defect images in X-ray inspection of solid rocket motors combustion chamber

L Li, J Ren, P Wang, H Gao, M Sun, B Sha, Z Lü, X Li - Measurement, 2023 - Elsevier
The solid rocket motor is widely used in the aerospace field. Therefore, it is necessary to
conduct nondestructive testing regularly. Traditional image processing-based welding defect …

Dynamic model and deep neural network-based surrogate model to predict dynamic behaviors and steady-state performance of solid propellant combustion

MY Jung, JH Chang, M Oh, CH Lee - Combustion and Flame, 2023 - Elsevier
Understanding the dynamic combustion behavior of a solid propellant with reaction
mechanisms is essential for designing rocket engines and safely disposing of expired …

[HTML][HTML] Detection of Debonding Defects in Carbon Fiber-Reinforced Polymer (CFRP)–Rubber Bonded Structures Based on Active Lamb Wave Energy Analysis

Z Yang, Y Ren, Q Shi, D Cui, J Liu - Sensors, 2024 - mdpi.com
Carbon fiber-reinforced polymers (CFRPs) are widely used in the fabrication of solid rocket
motor casings due to their exceptional performance. However, the bonding interface …

Improvement in migration resistance of hydroxyl-terminated polybutadiene (HTPB) liners by using graphene barriers

Y Zhang, Y Tian, Y Zhang, X Fu, H Li, Z Lu, T Zhang… - Polymers, 2022 - mdpi.com
The excessive migration of plasticizers leads to debonding and cracking of a liner, which
can compromise the safety of a solid propellant. Graphene oxide (GO), with a laminar …

Structural Health Monitoring of Solid Rocket Motors: From Destructive Testing to Perspectives of Photonic-Based Sensing

G Korompili, G Mußbach, C Riziotis - Instruments, 2024 - mdpi.com
In the realm of space exploration, solid rocket motors (SRMs) play a pivotal role due to their
reliability and high thrust-to-weight ratio. Serving as boosters in space launch vehicles and …

Solid propellant liner with high anti-migration and strong adhesion based on isocyanate-functionalized graphene oxide and hydroxy-terminated polybutadiene

H Li, W Jiang, Y Zhang, Z Lu, Y Hu, C **ao… - Journal of Materials …, 2022 - Springer
The migration of excess plasticizer seriously affects the safety of propellants. In this paper,
GO was functionalized with isocyanate groups (TGO) to improve its morphology, size, and …