The Development of Energy Efficient Routing Protocol Based on SDN Architecture and Intelligent Technique For HIHC-IoT

Al-Obady, Ahmed Sh.; Al-Janabi, Thair; Mutlag, Ammar Hussein

doi:10.1109/dese54285.2021.9719370

2021 14th International Conference on Developments in eSystems Engineering (DeSE) 2021

DOI: 10.1109/dese54285.2021.9719370

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The Development of Energy Efficient Routing Protocol Based on SDN Architecture and Intelligent Technique For HIHC-IoT

Ahmed Sh. Al-Obady

Thair Al-Janabi

Ammar Hussein Mutlag

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2023

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A novel ensemble approach for estimating the competency of bank telemarketing

Guo,

Yao,

Liu

et al. 2023

Sci Rep

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Having a reliable understanding of bank telemarketing performance is of great importance in the modern world of economy. Recently, machine learning models have obtained high attention for this purpose. In order to introduce and evaluate cutting-edge models, this study develops sophisticated hybrid models for estimating the success rate of bank telemarketing. A large free dataset is used which lists the clients’ information of a Portuguese bank. The data are analyzed by four artificial neural networks (ANNs) trained by metaheuristic algorithms, namely electromagnetic field optimization (EFO), future search algorithm (FSA), harmony search algorithm (HSA), and social ski-driver (SSD). The models predict the subscription of clients for a long-term deposit by evaluating nineteen conditioning parameters. The results first indicated the high potential of all four models in analyzing and predicting the subscription pattern, thereby, revealing the competency of neuro-metaheuristic hybrids. However, comparatively speaking, the EFO yielded the most reliable approximation with an area under the curve (AUC) around 0.80. FSA-ANN emerged as the second-accurate model followed by the SSD and HSA with respective AUCs of 0.7714, 0.7663, and 0.7160. Moreover, the superiority of the EFO-ANN is confirmed against several conventional models from the previous literature, and finally, it is introduced as an effective model to be practically used by banking institutions for predicting the likelihood of deposit subscriptions.

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A novel ensemble approach for estimating the competency of bank telemarketing

Guo,

Yao,

Liu

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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The Development of Energy Efficient Routing Protocol Based on SDN Architecture and Intelligent Technique For HIHC-IoT

Cited by 1 publication

References 13 publications

A novel ensemble approach for estimating the competency of bank telemarketing

A novel ensemble approach for estimating the competency of bank telemarketing

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