Titlebook: Computational Methods and Data Engineering; Proceedings of ICMDE Vijendra Singh,Vijayan K. Asari,R. B. Patel Conference proceedings 2021 Sp

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978-981-15-6875-6Springer Nature Singapore Pte Ltd. 2021

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An Overview of Use of Artificial Neural Network in Sustainable Transport System,for prediction algorithms. The objective of this study is to discuss the ANN technique and its use in transportation engineering. The paper also gives an overview of the advantages and disadvantages of ANN. Regular maintenance within the urban road infrastructure is a complex problem from both techn

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On Roman Domination of Graphs Using a Genetic Algorithm,ped, and a feasibility function has been employed to maintain the feasibility of solutions obtained from the crossover operator. Experiments have been conducted on different types of graphs with known optimal results and on 120 instances of Harwell–Boeing graphs for which bounds are known. The algor

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XGBoost: 2D-Object Recognition Using Shape Descriptors and Extreme Gradient Boosting Classifier,ree, random forest, and XGBClassifier, is made in terms of performance evaluation measures. The chapter demonstrates that XGBClassifier outperforms rather than other classifiers as it achieves high accuracy (88.36%), precision (88.24%), recall (88.36%), F1-score (87.94%), and area under curve (94.07

Capitulate

Comparison of Principle Component Analysis and Stacked Autoencoder on NSL-KDD Dataset,techniques are tested on different machine learning classifiers like tree-based, SVM, KNN and ensemble learning. Most of the intrusion detection technique tested on benchmark NSL-KDD dataset. But the standard NSL-KDD dataset is not balanced, i.e., for some classes, this dataset has an insufficient n

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