Keystroke Dynamics Authentication Using Neural Network Approaches

2010 ◽  
pp. 686-690 ◽  
Author(s):  
Venkateswaran Shanmugapriya ◽  
Ganapathi Padmavathi
Keyword(s):  
Neural Network ◽  
Keystroke Dynamics ◽  
Network Approaches

scholarly journals Outlier detection in scatterometer data: neural network approaches

2003 ◽  
Vol 16 (3-4) ◽  
pp. 419-426 ◽  
Author(s):  
Robert J. Bullen ◽  
Dan Cornford ◽  
Ian T. Nabney
Keyword(s):  
Neural Network ◽  
Outlier Detection ◽  
Network Approaches

scholarly journals International agricultural trade forecasting using machine learning

Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Munisamy Gopinath ◽  
Feras A. Batarseh ◽  
Jayson Beckman ◽  
Ajay Kulkarni ◽  
Sei Jeong
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Agricultural Trade ◽  
Supervised Machine Learning ◽  
Trade Patterns ◽  
Subjective Assessments ◽  
History Of ◽  
Network Approaches ◽  
Traditional Approaches

Abstract Focusing on seven major agricultural commodities with a long history of trade, this study employs data-driven analytics to decipher patterns of trade, namely using supervised machine learning (ML), as well as neural networks. The supervised ML and neural network techniques are trained on data until 2010 and 2014, respectively. Results show the high relevance of ML models to forecasting trade patterns in near- and long-term relative to traditional approaches, which are often subjective assessments or time-series projections. While supervised ML techniques quantified key economic factors underlying agricultural trade flows, neural network approaches provide better fits over the long term.

Neural Network Approaches to Data Fusion

1995 ◽  
pp. 819-826 ◽  
Author(s):  
J. Yim ◽  
S. S. Udpa ◽  
L. Udpa ◽  
M. Mina ◽  
W. Lord
Keyword(s):  
Neural Network ◽  
Data Fusion ◽  
Network Approaches
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