派博傳思國際中心

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

作者: DEIGN    時間: 2025-3-21 18:14
書目名稱Intelligent Systems Modeling and Simulation II影響因子(影響力)




書目名稱Intelligent Systems Modeling and Simulation II影響因子(影響力)學科排名




書目名稱Intelligent Systems Modeling and Simulation II網(wǎng)絡公開度




書目名稱Intelligent Systems Modeling and Simulation II網(wǎng)絡公開度學科排名




書目名稱Intelligent Systems Modeling and Simulation II被引頻次




書目名稱Intelligent Systems Modeling and Simulation II被引頻次學科排名




書目名稱Intelligent Systems Modeling and Simulation II年度引用




書目名稱Intelligent Systems Modeling and Simulation II年度引用學科排名




書目名稱Intelligent Systems Modeling and Simulation II讀者反饋




書目名稱Intelligent Systems Modeling and Simulation II讀者反饋學科排名





作者: 有斑點    時間: 2025-3-21 21:59
Samsul Ariffin Abdul Karimetry Meeting held at Leuven in 1981. The first of these meetings was more orientated toward mathematical physics; the second has a stronger flavour of analysis. The Editors are pleased to thank the lectures who contributed scientifically to these two meetings. They are also grateful to Professor M.
作者: Guileless    時間: 2025-3-22 03:29

作者: Mhc-Molecule    時間: 2025-3-22 08:27
Najwa Zawani Dhamirah Mohamad,Akram Yousif,Nasiha Athira Binti Shaari,Hasreq Iskandar Mustafa,Samsulntial Geometry Meeting held at Leuven in 1981. The first of these meetings was more orientated toward mathematical physics; the second has a stronger flavour of analysis. The Editors are pleased to thank the lectures who contributed scientifically to these two meetings. They are also grateful to Pro
作者: inflame    時間: 2025-3-22 10:01
Rabiu Bashir Yunus,Samsul Ariffin Abdul Karim,Afza Shafie,Muhammad Izzatullah,Ahmed Kherd,Mohammad Kntial Geometry Meeting held at Leuven in 1981. The first of these meetings was more orientated toward mathematical physics; the second has a stronger flavour of analysis. The Editors are pleased to thank the lectures who contributed scientifically to these two meetings. They are also grateful to Pro
作者: Creatinine-Test    時間: 2025-3-22 13:42
Farah Liyana Azizan,Saratha Sathasivam,Majid Khan Majahar Ali,Shehab Abdulhabib Saeed Alzaeemifields of a special type, called Killing vector fields. We prove the Orbit Theorem, which states that the distribution spanned by the Killing vector fields is integrable and that its integral manifolds coincide with the connected components of the orbits of the action. This way, every orbit gets end
作者: 無效    時間: 2025-3-22 21:03

作者: 紡織品    時間: 2025-3-22 22:44

作者: 職業(yè)    時間: 2025-3-23 05:23
Vinh Truong,Vinh Hoangcided to celebrate this event by preparing a jubilee volume of contributed articles in the two main fields of research marked by Lichnerowicz‘s work, namely differential geometry and mathematical physics. Limitations of space and time did not enable us to include papers from all Lichnerowicz‘s frien
作者: 逃避責任    時間: 2025-3-23 06:26
Mohammad Khatim Hasan,Noor Ashikin Othman,Bahari Idruselebrate this event by preparing a jubilee volume of contributed articles in the two main fields of research marked by Lichnerowicz‘s work, namely differential geometry and mathematical physics. Limitations of space and time did not enable us to include papers from all Lichnerowicz‘s friends nor fro
作者: 牛馬之尿    時間: 2025-3-23 12:13

作者: LVAD360    時間: 2025-3-23 17:06
Heat Transfer Modelling with Physics-Informed Neural Network (PINN),of pollutants, and many other physical phenomena. However, to simulate such phenomena requires tremendous computational power, and it increases with the number of parameters. In this chapter, we will explore the application of the Physics-Informed Neural Network (PINN) in solving heat equation with
作者: 外來    時間: 2025-3-23 18:05
An Overview on Deep Learning Techniques in Solving Partial Differential Equations, number of parameters cannot be handled easily. Owing to the rapid growth of accessible data and computing expedients, recent developments in deep learning techniques for the solution of (PDEs) have yielded outstanding results on distinctive problems. In this chapter, we give an overview on diverse
作者: climax    時間: 2025-3-24 01:38

作者: Cultivate    時間: 2025-3-24 02:20

作者: 鴕鳥    時間: 2025-3-24 07:38

作者: 分貝    時間: 2025-3-24 12:01

作者: insular    時間: 2025-3-24 17:46
Data-Driven Macro-economic Model Analysis Using Non-standard Trimean Algorithm,g the simulation behavior will also assist the policymaker in planning strategy for the country’s well-being. This study analyzes the type of relationship between two macro-economic variables for the Malaysian data set and predicts the value of both macro-economic variables. The selected macro-econo
作者: fiscal    時間: 2025-3-24 21:02

作者: Occlusion    時間: 2025-3-25 00:42
Data Interpolation Using Rational Cubic Ball with Three Parameters,ameters can be used to refine the interpolating curve as well as to obtain the best approximation in error estimation. This scheme was tested by interpolate data from the true function. To improve the accuracy, a new method to estimate the first derivative is proposed as it is significant in curve i
作者: 手銬    時間: 2025-3-25 05:18
Alpha-Rooting Color Image Enhancement Method for Discrete Fourier Transform and Discrete Quaternionform. The increase in color images was measured by Gray Level Co-Occurrence Matrix (GLCM) by looking at the contrast in each image. It was found that the selection of . values greatly affect the results of image in an image. The results of experiments conducted using several images inform that the d
作者: 鄙視    時間: 2025-3-25 11:02

作者: placebo    時間: 2025-3-25 13:35

作者: Obituary    時間: 2025-3-25 16:23
,Solution of Peak Junction Temperature with Crank-Nicolson?and SOR Approach,n the JT exceeds a certain threshold, electronic devices can suffer irreversible damage. As a result, a thermal control system can be used to achieve high performance in electronic systems. For predicting peak junction temperatures (PJT) of semiconductor devices, the heat conduction equation will be
作者: seduce    時間: 2025-3-25 20:26
Using Intelligent Systems in Enterprises and Organizations in Russian Regions,s. This transformation has affected enterprises and organizations located in Russia. The purpose of our study is to evaluate the indicators characterizing the use of three groups of technologies, namely machine learning, intelligent decision support systems and big data analytics at enterprises and
作者: 無意    時間: 2025-3-26 01:03
HornSAT Solver Using Agent-Based Modelling in Hopfield Network,it has a special formation in logic programming but also poses interesting interpretations in artificial intelligence. So many attempts have been employed to solve HornSAT and the results are amazingly good, one area that has not seen intense exploration is solving HornSAt using the Agent-based mode
作者: indicate    時間: 2025-3-26 05:57

作者: EWER    時間: 2025-3-26 10:38
Modelling the Covid-19 Pandemic for a Small Population Size,ase study in Brunei Darussalam, with a finite population of around half a million. We compare the predictions made by numerical solutions of the Kermack-McKendrick (KM) SIR epidemic model. The results show that estimating parameter such as rate of infection is a difficult task, which leads to initia
作者: 骨    時間: 2025-3-26 12:56
Book 2022IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig dri
作者: HUSH    時間: 2025-3-26 20:10
Data-Driven Model with Spatio-Temporal RBFNN: Application to Photovoltaic Module Simulation,ed with a Maximum Power Point Tracking algorithm (MPPT) through?a SIMULINK?model of a PV module for further simulations. The results indicate a preferable performance compared to RBFNN and fractional RBFNN.
作者: 細絲    時間: 2025-3-26 22:10
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.
作者: facilitate    時間: 2025-3-27 03:55
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.
作者: KEGEL    時間: 2025-3-27 08:42
,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.
作者: 挑剔為人    時間: 2025-3-27 12:13
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.
作者: 手術刀    時間: 2025-3-27 14:23

作者: somnambulism    時間: 2025-3-27 20:07
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.
作者: 教育學    時間: 2025-3-27 22:10
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.
作者: 倔強一點    時間: 2025-3-28 03:27
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.
作者: Overstate    時間: 2025-3-28 09:25

作者: Flinch    時間: 2025-3-28 13:33

作者: AVOW    時間: 2025-3-28 17:03
Modelling the Covid-19 Pandemic for a Small Population Size,l predictions far from reality, by taking prevention case. We also conclude that additional factors such as variations in government strict law and policy as well as social network structure such as social distancing have some effects in terms of estimating Covid-19 duration and the number of infected cases.
作者: 賞心悅目    時間: 2025-3-28 20:53

作者: DUCE    時間: 2025-3-28 23:21

作者: 不能約    時間: 2025-3-29 04:08
Mohammad Khatim Hasan,Jumat Sulaiman,Samsul Ariffin Abdul Karim
作者: 慷慨不好    時間: 2025-3-29 07:34

作者: 外形    時間: 2025-3-29 13:12
Chockalingam Aravind Vaithilingam,Nagentrau Muniandy,Dini Oktarina Dwi Handayani,Samsul Ariffin Abdu
作者: prostate-gland    時間: 2025-3-29 19:02

作者: Mortar    時間: 2025-3-29 20:28
Elayaraja Aruchunan,Zailan Siri,Muhamad Hifzhudin Bin Noor Aziz,Muhammad Hakimi Bin Ab Wahab,Mohana
作者: Anticonvulsants    時間: 2025-3-30 02:45

作者: Expertise    時間: 2025-3-30 04:24

作者: 發(fā)源    時間: 2025-3-30 12:09
Saiful Azmi Husain,Yusra Nor Izzaty Taib,Hasnah Hassan
作者: collateral    時間: 2025-3-30 16:08

作者: 上腭    時間: 2025-3-30 17:21

作者: CHIDE    時間: 2025-3-30 20:42
3SAT and Fuzzy-HornSAT in Hopfield Neural Network,using a simulated data set. Matlab 2020b was used to train, simulate, and validate the suggested network’s performance. The network for fuzzy-HornSAT and 3SAT was measured using indicators of RMSE, SSE and MAE in the training phase. The energy analysis is also used to compare their robustness by usi
作者: 舊式步槍    時間: 2025-3-31 03:22
,Machine Learning Optimization in Computational Advertising—A Systematic Literature Review,ks or deciding the bid price. Little research has been done for optimizing conversions and the bid cost. More importantly, machine learning algorithms are mostly designed for the demand side of the advertisement serving process, leaving the supply side largely under-optimized. The advertising creati
作者: 遣返回國    時間: 2025-3-31 06:57

作者: Exuberance    時間: 2025-3-31 11:19
HornSAT Solver Using Agent-Based Modelling in Hopfield Network,cy in the performance of HornSAT in the Agent-based model, our model provided an additional option to the number of available algorithms that solve HornSAT with an additional user-friendly environment and interface that reduces the bulkiness of the program.
作者: boisterous    時間: 2025-3-31 16:09
is), the discussion of variousmodels with matter fields (including magnetic monopoles, the Seiberg-Witten model and dimensional reduction) and the investigation of the structure of the gauge orbit space. The final chapter is devoted to elements of quantum gauge theory including the discussion of the
作者: pus840    時間: 2025-3-31 20:51
Samsul Ariffin Abdul Karimtical Physics, vii. vii Copyright e 1983 by D. Reidel Publishing Company. Lectures given at the Meeting of the Belgian Contact Group on Differential Geometry held at Liege, May 2-3,1980 SIMULTANEOUS DEFORMATIONS OF A LIE ALGEBRA AND ITS MODULES D. Arnal University of Dijon INTRODUCTION We expose her
作者: 放肆的我    時間: 2025-4-1 01:10

作者: Oafishness    時間: 2025-4-1 02:55





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