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Titlebook: Emerging Electronics and Automation; Select Proceedings o Moncef Gabbouj,Shyam Sudhir Pandey,Ranjay Hazra Conference proceedings 2024 The E

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樓主: 斷頭臺
31#
發(fā)表于 2025-3-26 21:00:27 | 只看該作者
Emerging Electronics and Automation978-981-99-6855-8Series ISSN 1876-1100 Series E-ISSN 1876-1119
32#
發(fā)表于 2025-3-27 02:12:40 | 只看該作者
33#
發(fā)表于 2025-3-27 08:25:39 | 只看該作者
34#
發(fā)表于 2025-3-27 10:19:19 | 只看該作者
35#
發(fā)表于 2025-3-27 14:49:40 | 只看該作者
Relative Ageing of?Population and?Subpopulations in?Proportional Hazard Frailty Models.. In particular, we study how the overall population ages relative to the ageing of its subpopulation with certain frailty under various notions of relative ageing. In addition, we will generalize some of the available results in the literature. The principle developed in the paper could be useful
36#
發(fā)表于 2025-3-27 20:52:15 | 只看該作者
Experimental Validation of Direct Synthesis-Based PI/PID Controller Applied to First and Second Orderiable area tank processes. A desired closed loop transfer function and a process model are used to develop the controller in the DS technique. The physical system‘s transfer functions are calculated using empirical approach. The parameters for controller tuning are found using the model that was th
37#
發(fā)表于 2025-3-27 22:09:34 | 只看該作者
Robust Controller Design for Inverted Pendulum Using Sliding Mode Control Techniqueances. These persistent disturbances create stability problem to system in the field of control engineering, therefore, the implementation of controllers for such systems has to be a difficult thing. The robust control of linear uncertain systems remained a subject of interest for researchers in the
38#
發(fā)表于 2025-3-28 04:02:46 | 只看該作者
39#
發(fā)表于 2025-3-28 07:20:31 | 只看該作者
40#
發(fā)表于 2025-3-28 12:29:28 | 只看該作者
Handwritten Word Recognition in English Languagerecognition accuracy using deep learning using Convolutional Neural Networks. The dataset used in this project is derived from Kaggle Dataset, comprising of 374,000 of text images with 28?×?28 dimensions. The dataset was divided in the ratio of 80:20 for training and testing, respectively. The model
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