Titlebook: Intelligent Computing & Optimization; Proceedings of the 5 Pandian Vasant,Gerhard-Wilhelm Weber,J. Joshua Tho Conference proceedings 2023 T

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書(shū)目名稱Intelligent Computing & Optimization影響因子(影響力)




書(shū)目名稱Intelligent Computing & Optimization影響因子(影響力)學(xué)科排名




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書(shū)目名稱Intelligent Computing & Optimization被引頻次




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書(shū)目名稱Intelligent Computing & Optimization讀者反饋




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參考書(shū)目

2367-3370 ing for great scientific and practical values.This book of .Springer Nature. .is another .proof .of Springer’s .outstanding and greatness. on the lively interface of .Smart Computational Optimization, Green ICT, Smart Intelligence and Machine Learning! .It is a .Master Piece. of what our community o

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Image Classification for Identifying Social Gathering Typesed that the approaches suggested in this paper improve the performance of the models. Our task was based on four classes of social gathering images. We concluded that the layer-modified VGG16 model with augmentation gives us the best results with a training accuracy of 90.99% and validation accuracy of 87.18%.

異端

SWINC: Secured Wireless Intelligent Network Using Cryptographyappropriately addressed. In this study, we propose a model named SWINC (Secured Wireless Intelligent Network using Cryptography) to overcome the uncertainties associated with authentication. The elliptic curve digital signature technique, one of the most well-known and straightforward cryptographic approaches, is included in our proposed solution.

正式演說(shuō)

Comparative Performance Assessment of Multi Linear Regression and Artificial Neural Network for Pred was found that ANN model demonstrate performance index (PI) value of 0.996, whereas MLR model exhibits PI value of 0.003. The high PI demonstrates the accuracy of models. Additionally, it was discovered that, when compared to the MLR model, ANN forecasted values more precisely match the observed data.

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