Development of Hopfield Artificial Neural Network for Anomaly Detection in Environmental Gamma Radiation Background - Consortium on Nuclear Security Technologies (CONNECT) Q2 Report

Anomaly Detection ◽

Gamma Radiation ◽

Radiation Background ◽

Security Technologies ◽

Nuclear Security ◽

Detection of Anomalies in Environmental Gamma Radiation Background with Hopfield Artificial Neural Network - Consortium on Nuclear Security Technologies (CONNECT) Q3 Report

10.2172/1827413 ◽

2021 ◽

Author(s):

Luis Valdez ◽

Alexander Heifetz

Keyword(s):

Neural Network ◽

Gamma Radiation ◽

Radiation Background ◽

Security Technologies ◽

Nuclear Security ◽

Performance comparison of intrusion detection system based anomaly detection using artificial neural network and support vector machine

10.1063/1.4958506 ◽

2016 ◽

Cited By ~ 6

Author(s):

Aditya Nur Cahyo ◽

Risanuri Hidayat ◽

Dani Adhipta

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Intrusion Detection ◽

Anomaly Detection ◽

Intrusion Detection System ◽

Detection System ◽

Performance Comparison ◽

Support Vector ◽

ARTIFICIAL NEURAL NETWORK FOR SUBSURFACE ANOMALY DETECTION IN QFMTWI

Journal of Critical Reviews ◽

10.31838/jcr.07.09.138 ◽

2020 ◽

Vol 7 (09) ◽

Keyword(s):

Neural Network ◽

Anomaly Detection ◽

Anomaly detection in Internet of Things using feature selection and classification based on Logistic Regression and Artificial Neural Network on N-BaIoT dataset

2021 5th International Conference on Internet of Things and Applications (IoT) ◽

10.1109/iot52625.2021.9469605 ◽

2021 ◽

Author(s):

Fereshteh Abbasi ◽

Marjan Naderan ◽

Seyed Enayatallah Alavi

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Feature Selection ◽

Internet Of Things ◽

Anomaly Detection ◽

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings ◽

Short-term anomaly detection in gas consumption through ARIMA and Artificial Neural Network forecast

10.1109/eesms.2015.7175886 ◽

2015 ◽

Cited By ~ 11

Author(s):

Marco De Nadai ◽

Maarten van Someren

Keyword(s):

Neural Network ◽

Anomaly Detection ◽

Short Term ◽

Gas Consumption ◽

2016 Joint Workshop on Cyber- Physical Security and Resilience in Smart Grids (CPSR-SG) ◽

Contextual anomaly detection for cyber-physical security in Smart Grids based on an artificial neural network model

10.1109/cpsrsg.2016.7684103 ◽

2016 ◽

Cited By ~ 19

Author(s):

Anna Magdalena Kosek

Keyword(s):

Neural Network ◽

Anomaly Detection ◽

Network Model ◽

Neural Network Model ◽

Smart Grids ◽

Artificial Neural Network Model ◽

Physical Security ◽

An Artificial Neural Network Based Anomaly Detection Method in CAN Bus Messages in Vehicles

10.1109/acmi53878.2021.9528201 ◽

2021 ◽

Author(s):

Avishek Paul ◽

Md Rabiul Islam

Keyword(s):

Neural Network ◽

Anomaly Detection ◽

Detection Method ◽

Can Bus ◽

Magnetic anomaly detection based on fast convergence wavelet artificial neural network in the aeromagnetic field

Measurement ◽

10.1016/j.measurement.2021.109097 ◽

2021 ◽

Vol 176 ◽

pp. 109097

Author(s):

Cunxiao Miao ◽

Qi Dong ◽

Min Hao ◽

Chune Wang ◽

Jianguo Cao

Keyword(s):

Neural Network ◽

Anomaly Detection ◽

Magnetic Anomaly ◽

Fast Convergence ◽

Anomaly detection in a smart grid using wavelet transform, variance fractal dimension and an artificial neural network

2016 IEEE Electrical Power and Energy Conference (EPEC) ◽

10.1109/epec.2016.7771715 ◽

2016 ◽

Cited By ~ 3

Author(s):

Maryam Ghanbari ◽

Witold Kinsner ◽

Ken Ferens

Keyword(s):

Neural Network ◽

Fractal Dimension ◽

Wavelet Transform ◽

Anomaly Detection ◽

Smart Grid ◽

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

Clinical Otolaryngology ◽

10.1046/j.1365-2273.2000.00358-12.x ◽

2000 ◽

Vol 25 (4) ◽

pp. 325-325

Author(s):

J.L.N. Roodenburg ◽

H.J. Van Staveren ◽

N.L.P. Van Veen ◽

O.C. Speelman ◽

J.M. Nauta ◽

...

Keyword(s):

Neural Network ◽

Oral Leukoplakia ◽

Autofluorescence Spectroscopy ◽