Titlebook: Soft Computing for Problem Solving; Proceedings of the S Manoj Thakur,Samar Agnihotri,Atulya K. Nagar Conference proceedings 2023 The Edito

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,Performance Assessment of Normalization in CNN with Retinal Image Segmentation,h as group normalization, layer normalization, and instance normalization were introduced to replace batch normalization. This paper evaluates the performance of these normalization techniques in a convolutional neural network (CNN) on retinal vessel segmentation: how it helps in improving the gener

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A Novel Multi-day Ahead Index Price Forecast Using Multi-output-Based Deep Learning System,et especially in the indexes has the potential to cause extensive economic disruption. Today’s smart AI has the capability to capture extreme fluctuations, irrational exuberance, and episodes of very high volatility. These sophisticated AI driven systems can detect such non-linearity with much-impro

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Exploring the Relationship Between Learning Rate, Batch Size, and Epochs in Deep Learning: An Expercial neural networks to learn. The quality of the performance of these ANNs majorly depends on the data fed to it, architecture of the ANN and hyperparameters. The hyperparameters are the parameters whose values control the process of learning, which in turn controls the performance of ANNs. These h

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2367-3370 ference for researchers and practitioners in academia and in.This book provides an insight into the 11th International Conference on Soft Computing for Problem Solving (SocProS 2022). This international conference is a joint technical collaboration of the Soft Computing Research Society and the Indi

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en disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 23 (thesis year 1978) a total of 10,148 theses titles from