Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Shen Yuong Wong"'
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102783- (2024)
In recent years, frequent and substantial area-wide power outages have underscored the critical need for cities to possess robust backup power sources capable of swift response to prevent prolonged power system disruptions. Electric vehicles can cont
Externí odkaz:
https://doaj.org/article/f1b728390c644c1cb5d845b89fda65be
Autor:
Shen Yuong Wong, Chunze Li
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 134-138 (2023)
People are becoming more aware of the benefits of renewable energy. In recent years, a lot of research deals with the use of energy systems during on-grid or off-grid conditions, however, grid-connected systems may cause a power crisis to the grid. W
Externí odkaz:
https://doaj.org/article/601aa4cb3e664a388fd4472c4f2a90f3
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Recycling is a process carried out by various organizations and individuals to enhance the environment’s long-term sustainability. Some youth think that recycling is a monotonous action as it may seem inconvenient, less aware of the enviro
Externí odkaz:
https://doaj.org/article/54a03e54e83b487db4ffbc7d399828df
Autor:
Jye Yun Fam, Shen Yuong Wong, Hazrul Bin Mohamed Basri, Mohammad Omar Abdullah, Kasumawati Binti Lias, Saad Mekhilef
Publikováno v:
IEEE Access, Vol 9, Pp 157384-157397 (2021)
This project aims to design a predictive maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system (PEMFC). This predictive MPPT includes the predictive control algorithm of a DC-DC boost converter in the fully functional ma
Externí odkaz:
https://doaj.org/article/e76480e1f73c46b09d6c5f62e1894f40
Publikováno v:
IEEE Access, Vol 8, Pp 28934-28946 (2020)
In near decades machine learning approaches have received overwhelming attention from many researchers for solving problems that cannot be ironed out by traditional approaches. However, most of these approaches produces output that is not equivalent
Externí odkaz:
https://doaj.org/article/6c471b789f4745448f05cbebd5d1dadd
Publikováno v:
IEEE Access, Vol 8, Pp 163026-163043 (2020)
Extreme Learning Machine improved the iterative procedures of adjusting weights by randomly selecting hidden neurons besides analytically determining the output weights. In this paper, the basic ELM neural network was enhanced with a simplified netwo
Externí odkaz:
https://doaj.org/article/45e84656e91f4c44a8c22b63e444374d
Publikováno v:
F1000Research, Vol 10 (2021)
Background: Gamification is an innovative approach to engaging in activities that people believe as less interesting. Recycling has been an issue not taken aware by the people in environmental sustainability. There are substantial studies on recyclin
Externí odkaz:
https://doaj.org/article/9e624ee2287c4d709526f17a90f0f653
Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification
Publikováno v:
IEEE Access, Vol 7, Pp 70447-70460 (2019)
Most existing state-of-the-art deep learning algorithms discover sophisticated representations in huge datasets using convolutional neural networks (CNNs) that mainly adopt backpropagation (BP) algorithm as the backbone for training the face recognit
Externí odkaz:
https://doaj.org/article/a8d0571ad64543b093c2400f188d10db
Publikováno v:
IEEE Access, Vol 7, Pp 116438-116452 (2019)
The Generalized Adaptive Resonance Theory (GART) model is a supervised online learning neural network based on an integration of Adaptive Resonance Theory (ART) and the Generalized Regression Neural Network (GRNN). It is capable of online learning, a
Externí odkaz:
https://doaj.org/article/fa62bc4f15b34f948f900e03e219101d
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2021)
Cardiovascular diseases (CVDs) are the leading cause of death today. The current identification method of the diseases is analyzing the Electrocardiogram (ECG), which is a medical monitoring technology recording cardiac activity. Unfortunately, looki
Externí odkaz:
https://doaj.org/article/8dd4e7611cc84d2e9811bd6f0405c000