An improved bio-inspired based intrusion detection model for a cyberspace

SU Otor, BO Akinyemi, TA Aladesanmi… - Cogent …, 2021 - Taylor & Francis
Bio-inspired intrusion detection solutions provide better detection accuracy than
conventional solutions in securing cyberspace. However, existing bio-inspired anomaly …

Data-driven runoff forecasting for Minjiang River: a case study

Y Wu, Q Wang, G Li, J Li - Water Supply, 2020 - iwaponline.com
Long-term runoff forecasting has the characteristics of a long forecast period, which can be
widely applied in environmental protection, hydropower operation, flood prevention and …

Improved artificial bee colony algorithm and its application in classification

H Wang, J Wei, S Wen, H Yu, X Zhang - Journal of Robotics and …, 2018 - jstage.jst.go.jp
For improving the classification accuracy of the classifier, a novel classification methodology
based on artificial bee colony algorithm is proposed for optimal feature and SVM parameters …

A comprehensive and systematic literature review of computational intelligence algorithms to diagnose and predict female infertility

TS Kiranmai, PV Lakshmi - Annals of the Romanian Society for Cell …, 2021 - annalsofrscb.ro
Recent researches inferred that one out of ten couple are facing fertility problem and it is
observed that most of the cases address female infertility as a common health disorder due …

Seismic attribute reduction of CBM reservoir using improved combined cross entropy

C Xiangqian, Z Xinxin, B Li - COAL GEOLOGY & EXPLORATION, 2017 - mtdzykt.com
In the prediction of CBM reservoir parameters, the redundancy of seismic attribute data
brings inconvenience to the prediction. In order to obtain the optimal reduction of seismic …

[HTML][HTML] Fault Attribute Reduction of Oil Immersed Transformer Based on Improved Imperialist Competitive Algorithm [J]

L Bian, H He, H Sun, W Liu - … of Harbin Institute of Technology (New …, 2020 - hit.alljournals.cn
The original fault data of oil immersed transformer often contains a large number of
unnecessary attributes, which greatly increases the elapsed time of the algorithm and …