15   Artículos

 
en línea
Brett Bowman, Chad Oian, Jason Kurz, Taufiquar Khan, Eddie Gil and Nick Gamez    
Modeling of physical processes as partial differential equations (PDEs) is often carried out with computationally expensive numerical solvers. A common, and important, process to model is that of laser interaction with biological tissues. Physics-informe... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Perizat Omarova, Yedilkhan Amirgaliyev, Ainur Kozbakova and Aisulyu Ataniyazova    
Water resource pollution, particularly in river channels, presents a grave environmental challenge that necessitates a comprehensive and systematic approach encompassing assessment, forecasting, and effective management. This article provides a comprehen... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Tatiana Lazovskaya, Dmitriy Tarkhov, Maria Chistyakova, Egor Razumov, Anna Sergeeva and Tatiana Shemyakina    
The article presents the development of new physics-informed evolutionary neural network learning algorithms. These algorithms aim to address the challenges of ill-posed problems by constructing a population close to the Pareto front. The study focuses o... ver más
Revista: Computation    Formato: Electrónico

 
en línea
Binghang Lu, Christian Moya and Guang Lin    
This paper presents NSGA-PINN, a multi-objective optimization framework for the effective training of physics-informed neural networks (PINNs). The proposed framework uses the non-dominated sorting genetic algorithm (NSGA-II) to enable traditional stocha... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zhou Yang, Yuwang Xu, Jionglin Jing, Xuepeng Fu, Bofu Wang, Haojie Ren, Mengmeng Zhang and Tongxiao Sun    
Particle image velocimetry (PIV) is a widely used experimental technique in ocean engineering, for instance, to study the vortex fields near marine risers and the wake fields behind wind turbines or ship propellers. However, the flow fields measured usin... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zaharaddeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai and Azam Che Idris    
This research aims to study and assess state-of-the-art physics-informed neural networks (PINNs) from different researchers? perspectives. The PRISMA framework was used for a systematic literature review, and 120 research articles from the computational ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Yaoyao Ma, Xiaoyu Xu, Shuai Yan and Zhuoxiang Ren    
The problem of electro-thermal coupling is widely present in the integrated circuit (IC). The accuracy and efficiency of traditional solution methods, such as the finite element method (FEM), are tightly related to the quality and density of mesh constru... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Muhammad Usama, Rui Ma, Jason Hart and Mikaela Wojcik    
Traffic state estimation (TSE) is a critical component of the efficient intelligent transportation systems (ITS) operations. In the literature, TSE methods are divided into model-driven methods and data-driven methods. Each approach has its limitations. ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Peng-Fei Xu, Chen-Bo Han, Hong-Xia Cheng, Chen Cheng and Tong Ge    
A three-degrees-of-freedom model, including surge, sway and yaw motion, with differential thrusters is proposed to describe unmanned surface vehicle (USV) dynamics in this study. The experiment is carried out in the Qing Huai River and the data obtained ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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