DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-021-01323-7
Abstract: The fifth-generation (5G) wireless communication systems associating with the high achievable data-transfer speeds will significantly affect the performance of IoT networks. On one hand, the internet goes through a dramatic transaction period that shapes every… read more here.
Keywords: neural network; intrusion detection; backpropagation neural; iot networks ... See more keywords
Nuclear accident source term estimation using Kernel Principal Component Analysis, Particle Swarm Optimization, and Backpropagation Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2019.107031
Abstract: Abstract Rapid estimation of the release rate of source items after a nuclear accident is very important for nuclear emergency and decision making. A source term estimation method, based on the Backpropagation Neural Network (BPNN),… read more here.
Keywords: estimation; nuclear accident; source; source term ... See more keywords
Modeling of lead removal by living Scenedesmus obliquus using backpropagation (BP) neural network algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Technology and Innovation"
DOI: 10.1016/j.eti.2021.101410
Abstract: Abstract Lead pollution in aquatic environment possessed lethal threats to public health. Heavy metal removal using microalgae have gained increasing attention as a novel biosorbent with great economic potential. However, excessive time consumption has been… read more here.
Keywords: neural network; removal; layer; backpropagation neural ... See more keywords
Backpropagation Neural Network for Processing of Missing Data in Breast Cancer Detection
Sign Up to like & getrecommendations! Published in 2021 at "IRBM"
DOI: 10.1016/j.irbm.2021.06.010
Abstract: Abstract Background A complete dataset is essential for biomedical implementation. Due to the limitation of objective or subjective factors, missing data often occurs, which exerts uncertainty in the subsequent data processing. Commonly used methods of… read more here.
Keywords: neural network; missing data; breast cancer; backpropagation neural ... See more keywords
Forecasting Primary Energy Requirements of Territories by Autoregressive Integrated Moving Average and Backpropagation Neural Network Models
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/9843041
Abstract: Forecasting energy data, especially the primary energy requirement, is the key part of policy-making. For those territories of different developing types, seeking a knowledge-based and dependable forecasting model is an essential prerequisite for the prosperous… read more here.
Keywords: backpropagation neural; neural network; primary energy; energy ... See more keywords
An identification algorithm of driver steering characteristics based on backpropagation neural network
Sign Up to like & getrecommendations! Published in 2019 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/0954407019856153
Abstract: This paper presents a novel identification method of driver steering characteristics based on backpropagation neural network. First, a driving simulator is built to collect required driving data. After careful analysis, three feature parameters that reflect… read more here.
Keywords: identification; steering characteristics; backpropagation neural; neural network ... See more keywords
Adaptive niche-genetic algorithm based on backpropagation neural network for atmospheric turbulence forecasting.
Sign Up to like & getrecommendations! Published in 2020 at "Applied optics"
DOI: 10.1364/ao.388959
Abstract: Because systematic direct measurements of the refractive index structure constant ($C_n^2$Cn2) are not available for many climates and seasons, we developed an indirect method to forecast optical turbulence. The $C_n^2$Cn2 was estimated from a backpropagation… read more here.
Keywords: genetic algorithm; adaptive niche; turbulence; niche genetic ... See more keywords
Hypertension Diagnosis with Backpropagation Neural Networks for Sustainability in Public Health
Sign Up to like & getrecommendations! Published in 2022 at "Sensors"
DOI: 10.3390/s22145272
Abstract: This paper presents the development of a multilayer feed-forward neural network for the diagnosis of hypertension, based on a population-based study. For the development of this architecture, several physiological factors have been considered, which are… read more here.
Keywords: diagnosis backpropagation; backpropagation neural; health; hypertension ... See more keywords