Titlebook: Intelligent Systems Modeling and Simulation II; Machine Learning, Ne Samsul Ariffin Abdul Karim Book 2022 The Editor(s) (if applicable) and

细丝

Data Interpolation Using Rational Cubic Ball with Three Parameters,rocessing Unit (CPU) time in second, the proposed scheme is better than existing schemes. Notably, we achieved . 0.01331105, . 0.91398405, . 0.00448758 and CPU time = 0.00009958 by using the new derivative estimation. Thus, the proposed scheme with construction of a new derivative estimation has improved the existing rational interpolant.

facilitate

Thermal Analysis of VLSI System using Successive Over Relaxation (SOR) Method,etween these two methods will be analysed based on iteration counts, computer proses time and the maximum temperature. The numerical results show that SOR is more efficient compared to GS. Therefore, the results for this study may be beneficial for the future research in solving numerical iterative method.

KEGEL

,Solution of Peak Junction Temperature with Crank-Nicolson and SOR Approach,e method. The Successive Over Relaxation (SOR) and Gauss–Seidel (GS) methods will be used to solve the generated system of linear equations iteratively. The SOR method uses fewer iterations and takes less time to compute than the traditional GS iterative method, based on the results. In terms of PTJ accuracy, however, both methods are comparable.

挑剔为人

Heat Transfer Modelling with Physics-Informed Neural Network (PINN),he number of parameters. In this chapter, we will explore the application of the Physics-Informed Neural Network (PINN) in solving heat equation with distinct types of materials. To leverage the GPU performance and cloud computing, we perform the simulations on the Google Cloud Platform.

手术刀

somnambulism

Data-Driven Ordinary Differential Equations Model for Predicting Missing Data and Forecasting Cruderedicting missing data and forecasting future data applying the data-driven ordinary differential model using Runge-Kutta-Fehlberg produce good missing data prediction and the best future data forecasting among compared methods.

教育学

New Norm Disease Resilient Air-Conditioning Control Module,ng system. In this chapter, an integrated system with the use of Industrial Internet of Things (IIoT) that are part of the future units for monitor, control, and operational performance both from the health perspective and increases system performance is presented.

倔强一点

Using Intelligent Systems in Enterprises and Organizations in Russian Regions,tion in the study was paid to the regional peculiarities of the use of the technologies in question. The results of the study showed that despite the relatively recent start of the introduction of the technologies in question, they used in enterprises and organizations of all regions of Russia.

Overstate

Flinch