David J. Brown

According to our database, David J. Brown authored at least 46 papers between 2003 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Eco-Driving Assistance System for a Manual Transmission Bus Based on Machine Learning.

Hongjie Ma, Hui Xie, David J. Brown

IEEE Trans. Intell. Transp. Syst., 2018

Radar Image-Based Positioning for USV Under GPS Denial Environment.

Hongjie Ma, Edward Smart, Adeel Ahmed, David J. Brown

IEEE Trans. Intell. Transp. Syst., 2018

2017

Reducing energy usage in drive storage clusters through intelligent allocation of incoming commands.

Edward Smart, David J. Brown, K. Toumi Borges, N. Granger-Brown

Appl. Soft Comput., 2017

2016

Dynamic Resource Allocation Through Workload Prediction for Energy Efficient Computing.

Adeel Ahmed, David J. Brown, Alexander E. Gegov

Proceedings of the Advances in Computational Intelligence Systems, 2016

2015

Application of acoustic directional data for audio event recognition via HMM/CRF in perimeter surveillance systems.

Syed A. Yusuf, David J. Brown, Alan Mackinnon

Robotics Auton. Syst., 2015

2013

Application of dynamic neural networks with exogenous input to industrial conditional monitoring.

Syed A. Yusuf, David J. Brown, Alan Mackinnon, Richard Papanicolaou

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A pixel-level, intensity-based nonlinear autoregressive classifier (NARX) with chromatic exogenous input for efficient image background subtraction.

Syed A. Yusuf, David J. Brown, Alan Mackinnon, Richard Papanicolaou

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

A Two-Phase Method of Detecting Abnormalities in Aircraft Flight Data and Ranking Their Impact on Individual Flights.

Edward Smart, David J. Brown, John Denman

IEEE Trans. Intell. Transp. Syst., 2012

Deriving margins in prostate cancer radiotherapy treatment: comparison of neural network and fuzzy logic models.

Bongile Mzenda, Alexander E. Gegov, David J. Brown, Nedyalko Petrov

Int. J. Bioinform. Res. Appl., 2012

Combining multiple classifiers to quantitatively rank the impact of abnormalities in flight data.

Edward Smart, David J. Brown, John Denman

Appl. Soft Comput., 2012

2011

Improving the transparency in fuzzy modelling of radiotherapy margins in cancer treatment.

Bongile Mzenda, David J. Brown, Alexander E. Gegov

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011

2010

A simulation technique for computation of the dosimetric effects of setup, organ motion and delineation uncertainties in radiotherapy.

Bongile Mzenda, Mir Hosseini-Ashrafi, Antony Palmer, Honghai Liu, David J. Brown

Medical Biol. Eng. Comput., 2010

Implementation of a fuzzy model for computation of margins in cancer treatment.

Bongile Mzenda, Mir Hosseini-Ashrafi, Alexander E. Gegov, David J. Brown

Proceedings of the FUZZ-IEEE 2010, 2010

2009

Qualitative classification of descent phases in commercial flight data.

Edward Smart, Honghai Liu, Christopher Jesse, David J. Brown

Int. J. Comput. Intell. Stud., 2009

2008

Navigation Technologies for Autonomous Underwater Vehicles.

L. Stutters, Honghai Liu, C. Tiltman, David J. Brown

IEEE Trans. Syst. Man Cybern. Part C, 2008

State of the Art in Vehicle Active Suspension Adaptive Control Systems Based on Intelligent Methodologies.

Jiangtao Cao, Honghai Liu, Ping Li, David J. Brown

IEEE Trans. Intell. Transp. Syst., 2008

Fuzzy Qualitative Robot Kinematics.

Honghai Liu, David J. Brown, George Macleod Coghill

IEEE Trans. Fuzzy Syst., 2008

On the use of spiking neural network for EEG classification.

Piyush Goel, Honghai Liu, David J. Brown, Avijit Datta

Int. J. Knowl. Based Intell. Eng. Syst., 2008

Visual-Based View-Invariant Human Motion Analysis: A Review.

Xiaofei Ji, Honghai Liu, Yibo Li, David J. Brown

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Analysing Flight Data Using Clustering Methods.

Christopher Jesse, Honghai Liu, Edward Smart, David J. Brown

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

A Practical Intelligent Navigation System based on Travel Speed Prediction.

Yang Wang, Patrick Beullens, Honghai Liu, David J. Brown, Tim Thornton, Richard Proud

Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Predictive unsupervised organisation in marine engine fault detection.

Ian Morgan, Honghai Liu, George Turnbull, David J. Brown

Proceedings of the International Joint Conference on Neural Networks, 2008

Travel Speed Prediction Using Fuzzy Reasoning.

Yang Wang, Honghai Liu, Patrick Beullens, David J. Brown

Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008

A fuzzy qualitative approach to human motion recognition.

Chee Seng Chan, Honghai Liu, David J. Brown, Naoyuki Kubota

Proceedings of the FUZZ-IEEE 2008, 2008

Adaptive fuzzy logic controller for vehicle active suspensions with interval type-2 fuzzy membership functions.

Jiangtao Cao, Honghai Liu, Ping Li, David J. Brown

Proceedings of the FUZZ-IEEE 2008, 2008

2007

Adapting robot kinematics for human-arm motion recognition.

Chee Seng Chan, Honghai Liu, David J. Brown

Int. J. Knowl. Based Intell. Eng. Syst., 2007

Recognition of Human Motion From Qualitative Normalised Templates.

Chee Seng Chan, Honghai Liu, David J. Brown

J. Intell. Robotic Syst., 2007

A study of electric vehicle suspension control system based on an improved half-vehicle model.

Jiangtao Cao, Honghai Liu, Ping Li, David J. Brown, Georgi M. Dimirovski

Int. J. Autom. Comput., 2007

Qualitative kinematics of planar robots: Intelligent connection.

Honghai Liu, George Macleod Coghill, David J. Brown

Int. J. Approx. Reason., 2007

Time Discretisation Applied to Anomaly Detection in a Marine Engine.

Ian Morgan, Honghai Liu, George Turnbull, David J. Brown

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Geometrical Representation of Quantity Space and Its Application to Robot Motion Description.

Honghai Liu, David J. Brown, George Macleod Coghill

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Qualitative Correspondence for Object Tracking Using Dynamic Panorama.

Farshad Fahimi, Honghai Liu, David J. Brown

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

An Approach to Robot Motion Behaviour Representation.

Honghai Liu, David J. Brown

Proceedings of the FUZZ-IEEE 2007, 2007

An Effective Human Motion Classification Approach using Knowledge Representation in Qualitative Normalised Templates.

Chee Seng Chan, Honghai Liu, David J. Brown

Proceedings of the FUZZ-IEEE 2007, 2007

2006

Temperature Field Estimation for the Pistons of Diesel Engine 4112.

Zuoqin Qian, Honghai Liu, Guangde Zhang, David J. Brown

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Spiking Neural Network Based Classification of Task-Evoked EEG Signals.

Piyush Goel, Honghai Liu, David J. Brown, Avijit Datta

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Human Arm-Motion Classification Using Qualitative Normalised Templates.

Chee Seng Chan, Honghai Liu, David J. Brown

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks.

Lewis Eric Hibell, Honghai Liu, David J. Brown

Proceedings of the International Joint Conference on Neural Networks, 2006

An Extension to Fuzzy Qualitative Trigonometry and Its Application to Robot Kinematics.

Honghai Liu, David J. Brown

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005

Parametric Planning for Multiple Cooperative Robots.

Honghai Liu, David J. Brown, Hui Li

J. Intell. Robotic Syst., 2005

2004

An approach for constructing parsimonious generalized Gaussian kernel regression models.

Xunxian Wang, Sheng Chen, David J. Brown

Neurocomputing, 2004

Segmented neural network modelling using adaboost.

Lewis Eric Hibell, Xunxian Wang, David J. Brown

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Sigmoid neural network incremental construction by using a boosting method.

Benjamin J. B. Cannon, David J. Brown, Xunxian Wang

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Boosting Orthogonal Least Squares Regression..

Xunxian Wang, David J. Brown

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Orthogonal Least Square with Boosting for Regression.

Sheng Chen, Xunxian Wang, David J. Brown

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003

Incremental Neural Network Construction by Using Correlation as Cost Function.

Xunxian Wang, David J. Brown

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003