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Titlebook: Energy Systems, Drives and Automations; Proceedings of ESDA Afzal Sikander,Dulal Acharjee,Piyush Verma Conference proceedings 2020 The Edi

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發(fā)表于 2025-3-25 11:03:40 | 只看該作者
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發(fā)表于 2025-3-25 18:09:29 | 只看該作者
Afzal Sikander,Dulal Acharjee,Piyush VermaHighlights recent research and advances in the field of energy systems.Discusses the outcomes of ESDA 2019, held in Kolkata, India, on 28–29 December 2019.Offers a valuable resource for researchers an
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發(fā)表于 2025-3-26 03:23:03 | 只看該作者
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發(fā)表于 2025-3-26 08:19:00 | 只看該作者
Computing Processes of Recurrent Neural Network at Different Layers,Neural Network (NN) are discussed in this introductory tutorial. In NN, two types of computing are performed, Feed Forward and Feed Back processing. Sometimes, Feed Back computing is known as Recurrent Neural Network (RNN). Here, updating of weight values required for RNN is discussed in viewpoint of programming of simulation of any new model.
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發(fā)表于 2025-3-26 11:18:22 | 只看該作者
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發(fā)表于 2025-3-26 14:13:00 | 只看該作者
Bivariate and Multivariate Ageing, timescales and its subsequent role on the thermal characteristics of the flow field, is explored in detail. Major inferences of the study are (a) on the application of external magnetic (constant and alternating) and heat transfer augments (b), and there exists a critical frequency (of the perturbi
29#
發(fā)表于 2025-3-26 19:48:27 | 只看該作者
Probability and Random Variables,sing data we use a latent factor model to reconstruct incomplete information. We perform predictions on a regional chronic disease lung infection. We propose a convolutional neural network-based multimodal disease prediction that performs predictions based on both structured as well as unstructured
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發(fā)表于 2025-3-26 21:43:08 | 只看該作者
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