Zobrazeno 1 - 10
of 32
pro vyhledávání: '"MAHARANI A. BAKAR"'
Publikováno v:
Results in Applied Mathematics, Vol 25, Iss , Pp 100522- (2025)
Partial differential equations (PDEs) hold significant potential for modelling natural phenomena. It is essential to look at a practical way to solve the PDEs. Recently, Artificial Neural Networks (ANN) have emerged as promising tool for approximatin
Externí odkaz:
https://doaj.org/article/f944f7e38b824c55b723f417e224c096
Publikováno v:
Results in Applied Mathematics, Vol 22, Iss , Pp 100457- (2024)
The Lotka–Volterra predator–prey system for dynamic sea turtle population is solved using r-PINN-Adam method, a novel approach which combines Physics-Informed Neural Network (PINN) with restarting strategy. This method allows us to monitor the lo
Externí odkaz:
https://doaj.org/article/d16fbc7da2fd4b6aa36cf51082946ca3
Autor:
Danang A. Pratama, Rewayda Razaq Abo-Alsabeh, Maharani A. Bakar, A. Salhi, Nur Fadhilah Ibrahim
Publikováno v:
Alexandria Engineering Journal, Vol 77, Iss , Pp 205-226 (2023)
Partial differential equations (PDEs) are essential mathematical models for describing a wide range of physical phenomena. Numerically, Physic-Informed Neural Networks (PINNs), a variant of artificial neural networks, present a promising method for s
Externí odkaz:
https://doaj.org/article/79a85241c85c4985adfe0597799f9e36
Publikováno v:
Arab Journal of Basic and Applied Sciences, Vol 29, Iss 1, Pp 233-248 (2022)
Traditionally, partial differential equation (PDE) problems are solved numerically through a discretization process. Iterative methods are then used to determine the algebraic system generated by this process. Recently, scientists have emerged artifi
Externí odkaz:
https://doaj.org/article/fb0e49542c48466e9ca6d464c7e451b0
Publikováno v:
Results in Applied Mathematics, Vol 19, Iss , Pp 100384- (2023)
Breast cancer is a serious health concern for women in both developed and developing countries, and early diagnosis is crucial for an effective treatment. One possible approach of detection is by observing abnormal surface temperatures of the breast.
Externí odkaz:
https://doaj.org/article/f4c9c4621e42401d91259dcc70ef409c
Autor:
Maharani A. Bakar, Norizan Mohamed, Danang A. Pratama, M. Fawwaz A. Yusran, Nor Azlida Aleng, Z. Yanuar, L. Niken
Publikováno v:
Arab Journal of Basic and Applied Sciences, Vol 28, Iss 1, Pp 204-224 (2021)
ASEAN, include Indonesia, Malaysia, Philippines, Singapore, and Thailand, are the countries with ongoing transmission of SARS-COV-2, the virus that causes COVID-19. The confirmed cases in Indonesia and Philippines are the highest ranks among other AS
Externí odkaz:
https://doaj.org/article/4c21231fa50342bc96a94d789ff64089
Publikováno v:
Complexity, Vol 2021 (2021)
Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchm
Externí odkaz:
https://doaj.org/article/7325cec546084d43a12efbd898136365
Autor:
Naveed Ahmad Khan, Osamah Ibrahim Khalaf, Carlos Andrés Tavera Romero, Muhammad Sulaiman, Maharani A. Bakar
Publikováno v:
Entropy, Vol 23, Iss 8, p 1053 (2021)
In this study, a novel application of neurocomputing technique is presented for solving nonlinear heat transfer and natural convection porous fin problems arising in almost all areas of engineering and technology, especially in mechanical engineering
Externí odkaz:
https://doaj.org/article/3931d566db9d49ce94ff49edf2a7250d
Publikováno v:
Journal of Mathematical Sciences and Informatics. 2:23-36
In this study, we used the fluctuating air temperature dataset. The change is caused by data fluctuations, trend, seasonality, cyclicity and irregularities. The generalized additive model (GAM) data approach is used to describe these phenomena. The a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d5232087dd36df480b6c064e57c4206
https://doi.org/10.46754/jmsi.2022.06.003
https://doi.org/10.46754/jmsi.2022.06.003
Autor:
Naveed Ahmad Khan, Osamah Ibrahim Khalaf, Carlos Andrés Tavera Romero, Muhammad Sulaiman, Maharani A. Bakar
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2022 (2022)
Computational Intelligence and Neuroscience, Vol 2022 (2022)
In this study, the intelligent computational strength of neural networks (NNs) based on the backpropagated Levenberg-Marquardt (BLM) algorithm is utilized to investigate the numerical solution of nonlinear multiorder fractional differential equations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de4919e3cf8b687f10bc03b06b53d2cd
https://doi.org/10.1155/2022/2710576
https://doi.org/10.1155/2022/2710576