How does big data influence smart manufacturing in the presence of preventive maintenance? A multi-analytical investigation by Samadhiya, Ashutosh, Naz, Farheen, Kumar, Anil, Garza-Reyes, Jose Arturo, Luthra, Sunil

“…Design/methodology/approach: The present research implements a multi-analytical PLS-SEM-ANN approach to investigate the relationships among BDA, PM, and SM. …”
Get full text

Predict the characteristics of the DI engine with various injection timings by Glycine max oil biofuel using artificial neural networks by Rajak, Upendra, Panchal, Manoj, Dasore, Abhishek, Verma, Tikendra Nath, Chaurasiya, Prem Kumar

“…In this study, the result of varying fuel injection timings on the performance, ignition, and exhaust parameters of a research engine with single-cylinder, four-stroke with direct injection (DI) diesel was experimentally investigated and optimised using artificial neural networks (ANN). The results demonstrated that a 20% fuel blend with 24.5° before top dead centre (b TDC) decreased brake thermal efficiency (BTE), NOx emissions, and exhaust cylinder temperature but improved fuel consumption, carbon dioxide emissions (CDE), and smoke emissions. …”

Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions by Jiang, Lian Lian

“…In Chapter 5, another type of MPPT technique, a hybrid MPPT which combines an artificial neural network (ANN)-based MPPT and a conventional MPPT, is proposed for PV systems operating under conditions with rapid irradiance change. …”
Get full text

Development of a wireless charging system for electric vehicles in Singapore by Ang, Jia Yu

Get full text

Design and development of a master portal for small and medium enterprises by Aung, Zay Yar

Get full text

Smart events information dissemination system by Bao, Yicai

Get full text

Low temperature growth and characterization of carbon nanostructures by Ding, Yu

Get full text

Design of an intelligent sensor network for solar panels by Tan, Andy Weng Kiat.

Get full text

Improving system performance using microgrid energy storage systems by Lam, Yee Har.

Get full text

Virtual puppet B by Wang, Chenyu

Get full text

Performance study of routing protocols for wireless sensor network applications - 1 by Heng, Tian Hao

Get full text

On-line shape measurement using micro-optics by Li, Chongxiang

Get full text

Incorporating thermoelectric effect with solar power into solar panel by Lim, Esmund Qun Kai

Get full text

Locating earthquakes and underground nuclear explosions using applied optimization by Ding, William Si Hao

Get full text

Imaging fiber design for medical applications by Zhang, Meng

Get full text
Get full text

Development of engineering tools and design guidelines for FRP strengthened RC walls subject to near field blast loading by Fung, Tat Ching, Tan, Kang Hai, Werner Riedel, Yu, Qingjun, Del Linz, Paolo, Li, Gen, Tu, Huan

“…In this report D5, as a supplement, some additional cases of CFRP strengthened RC walls by uncased charge have also been studied for ANN analysis. Moreover, additional cases of CFRP strengthened RC walls using the large cased charge, denote as “device B”, have been studied. …”
Get full text

A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing by Zhan, Zhixin, Li, Hua

“…After that, the two commonly-used ML models including artificial neural network (ANN) and random forest (RF) are implemented to carry out fatigue life prediction. …”
Get full text

Highly precise modelling of resonant coils based on deep neural networks for wireless power transfer systems by Li, Zhaokun

“…Additionally, considering the data-fitting characteristics of AI algorithms, ANN and transfer learning is chosen to combine theoretical calculation data, FEA simulation data, and experimental measurement data, yielding a more accurate calculation model. …”
Get full text

Chebyshev Functional Link Neural Network-based modeling and experimental verification for photovoltaic arrays by Jiang, Lian Lian., Maskell, Douglas L., Patra, Jagdish C.

“…There are two basic approaches to build a model - use an analytical modeling technique or use an Artificial Neural Network (ANN) based method. However, both the analytical modeling technique and the traditional Multilayer Perceptron (MLP) model have some disadvantages. …”
Get full text
Get full text

Robustness in stochastic filtering and maximum likelihood estimation for SDEs by Diehl, J, Friz, PK, Mai, H, Oberhauser, H, Riedel, S, Stannat, W

“…Our contribution (Crisan et al., Ann Appl Probab 23(5):2139–2160, 2013); Diehl et al., A Levy-area between Brownian motion and rough paths with applications to robust non-linear filtering and RPDEs (2013, arXiv:1301.3799; Diehl et al., Pathwise stability of likelihood estimators for diffusions via rough paths (2013, arXiv:1311.1061) changed to yes, in other words: well-posedness is restored, provided one is willing or able to regard observations as rough paths in the sense of T. …”