V. Kadirkamanathan

发表

Dual adaptive control of nonlinear stochastic systems using neural networks

Visakan Kadirkamanathan, Simon G. Fabri, S. Fabri, 1998, Autom..

Variable structure control for nonlinear discrete systems using neural networks

S. Billings, V. Kadirkamanathan, G. P. Liu, 1997, 1997 European Control Conference (ECC).

Stability analysis of the particle dynamics in particle swarm optimizer

Visakan Kadirkamanathan, Peter J. Fleming, Kirusnapillai Selvarajah, 2006, IEEE Transactions on Evolutionary Computation.

A Function Estimation Approach to Sequential Learning with Neural Networks

Visakan Kadirkamanathan, Mahesan Niranjan, M. Niranjan, 1993, Neural Computation.

Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition

S. Billings, V. Kadirkamanathan, Jing Yang, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Variable Neural Networks for Nonlinear Adaptive Control

S. Billings, V. Kadirkamanathan, Guoping Liu, 1996 .

International Journal of Systems Science

V. Kadirkamanathan, Zidong Wang, Peter J. Flemming, 2014 .

Learning with multi-objective criteria

V. Kadirkamanathan, G. P. Liu, 1995 .

Robust Identification with Neural Networks Using Multiobjective Criteria

Visakan Kadirkamanathan, Guo-Ping Liu, V. Kadirkamanathan, 1995 .

Analysis of fast-sampled non-linear systems: generalised frequency response functions for δ-operator models

M. A. Chadwick, S. Billings, V. Kadirkamanathan, 2006 .

A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems

S. Fabri, V. Kadirkamanathan, Ping Li, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Service-Oriented Architecture on the Grid for FDI Integration

Rolls-Royce, V. Kadirkamanathan, M. Ong, 2004 .

Design of a UDE Frequency Selective Filter to Reject Periodical Disturbances

Visakan Kadirkamanathan, Qing-Chang Zhong, George C. Konstantopoulos, 2017 .

Particle filters for recursive model selection in linear and nonlinear system identification

S. Fabri, V. Kadirkamanathan, M. Jaward, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms

Visakan Kadirkamanathan, Guo-Ping Liu, V. Kadirkamanathan, 1999 .

BAYESIAN INFERENCE FOR BASIS FUNCTION SELECTION IN NONLINEAR SYSTEM IDENTIFICATION USING GENETIC ALGORITHMS

Visakan Kadirkamanathan, V. Kadirkamanathan, 1996 .

Recursive nonlinear identification using multiple model algorithm

Visakan Kadirkamanathan, V. Kadirkamanathan, 1995, Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing.

Discrete-time adaptive control of nonlinear systems using neural networks

S. Fabri, V. Kadirkamanathan, 1998 .

Neural control of nonlinear systems with composite adaptation for improved convergence of Gaussian networks

V. Kadirkamanathan, S. Fabri, V. Kadirkamanathan, 1997, 1997 European Control Conference (ECC).

Sequentially adaptive neural networks

F. Fallside, V. Kadirkamanathan, 1989, Fourth IEEE Region 10 International Conference TENCON.

Repelled from the wound, or randomly dispersed? Reverse migration behaviour of neutrophils characterized by dynamic modelling

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2012, Journal of The Royal Society Interface.

A Zebrafish Compound Screen Reveals Modulation of Neutrophil Reverse Migration as an Anti-Inflammatory Mechanism

V. Kadirkamanathan, D. Irimia, S. Walmsley, 2014, Science Translational Medicine.

Estimating an Individual’s Probability of Revision Surgery After Knee Replacement: A Comparison of Modeling Approaches Using a National Data Set

V. Kadirkamanathan, E. McCloskey, A. Blom, 2018, American journal of epidemiology.

Estimating an Individual’s Probability of Revision Surgery After Knee Replacement: A Comparison of Modeling Approaches Using a National Data Set

V. Kadirkamanathan, E. McCloskey, A. Blom, 2018, American journal of epidemiology.

A new Gaussian process-based approach for uncertainty propagation in surface metrology profile parameters estimation

Visakan Kadirkamanathan, Mahdi Mahfouf, Paul J. Scott, 2019 .

Multi-dimensional electrical impedance myography of the tongue as a potential biomarker for amyotrophic lateral sclerosis

V. Kadirkamanathan, P. Shaw, C. Mcdermott, 2020, Clinical Neurophysiology.

Nonlinear identification via variable wavelet networks

Visakan Kadirkamanathan, Guo-Ping Liu, Stephen A. Billings, 1999 .

Modeling the evolution of culture-adapted human embryonic stem cells.

V. Kadirkamanathan, Steve Billings, P. Andrews, 2010, Stem cell research.

Exploration and control of stochastic spatiotemporal systems with mobile agents

V. Kadirkamanathan, A. Mangion, S. Anderson, 2011 .

Point process modelling of the Afghan War Diary

Visakan Kadirkamanathan, Guido Sanguinetti, Andrew Zammit-Mangion, 2012, Proceedings of the National Academy of Sciences.

The SIPHER Consortium: Introducing the new UK hub for systems science in public health and health economic research

Katherine E. Smith, V. Kadirkamanathan, E. Such, 2019, Wellcome open research.

A variational approach for the online dual estimation of spatiotemporal systems governed by the IDE

G. Sanguinetti, V. Kadirkamanathan, A. Mangion, 2011 .

A Data-Driven Framework for Identifying Tropical Wetland Model

V. Kadirkamanathan, D. Wilton, S. Anderson, 2018, 2018 UKACC 12th International Conference on Control (CONTROL).

Spatio-temporal Organization During Ventricular Fibrillation in the Human Heart

R. Clayton, V. Kadirkamanathan, M. Nash, 2018, Annals of Biomedical Engineering.

A material system with integrated fault diagnosis and feedback controlled self‐healing

V. Kadirkamanathan, B. Bhattacharya, S. Pope, 2022, International Journal of Adaptive Control and Signal Processing.

Vitamin D supplement in early childhood and risk for Type I (insulin-dependent) diabetes mellitus

V. Kadirkamanathan, 1999, Diabetologia.

Pioneer neutrophils release chromatin within in vivo swarms

V. Kadirkamanathan, G. Lieschke, S. Renshaw, 2021, eLife.

Endogenous pioneer neutrophils release NETs during the swarming response in zebrafish

V. Kadirkamanathan, S. Renshaw, Katherine M. Henry, 2019 .

Speed Control of a Real Time D.C. Shunt Motor Using SA Based Tuning of a PID Controller

A. U. Levin, K. Narendra, V. Kadirkamanathan, 2016 .

Sensitivity analysis of prefiltering in identification of two‐time scaled systems

Anderson L. O. Cavalcanti, V. Kadirkamanathan, K. Kienitz, 2022, Asian Journal of Control.

BIOINFORMATICS Modiﬁed variational Bayes EM estimation of hidden Markov tree model of cell lineages

S. Billings, V. Kadirkamanathan, P. Andrews, 2009 .

In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter

Visakan Kadirkamanathan, Stephen A. Billings, Jing Yang, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Analysis of immune cell function using in vivo cell shape analysis and tracking

Visakan Kadirkamanathan, Stephen A. Billings, Constantino Carlos Reyes-Aldasoro, 2009 .

Drift-Diffusion Analysis of Neutrophil Migration during Inflammation Resolution in a Zebrafish Model

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2012, Advances in hematology.

The Lost Tribe: The Importance of Health Care Staff and Service Design During COVID-19

V. Kadirkamanathan, J. J. Alix, N. Gyenge, 2021, Disaster Medicine and Public Health Preparedness.

Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design

V. Kadirkamanathan, Z. Lang, A. Kadochnikova, 2022, IEEE Transactions on Control Systems Technology.

Circuit Architecture for Electrical Impedance Spectroscopy Instrumentation to Address Electrode Impedance Mismatch in Clinical Devices

Emily R. Billinge, V. Kadirkamanathan, J. Alix, 2021, IEEE Sensors Journal.

A data-driven approach for predicting printability in metal additive manufacturing processes

V. Kadirkamanathan, I. Todd, E. Hernández-Nava, 2020, Journal of Intelligent Manufacturing.

Sepsis Patient Outcome Prediction Using Machine Learning

Visakan Kadirkamanathan, Karl Heinz Kienitz, Marcus Henrique Victor Júnior, 2019, XXVI Brazilian Congress on Biomedical Engineering.

Tensor electrical impedance myography identifies bulbar disease progression in amyotrophic lateral sclerosis

V. Kadirkamanathan, P. Shaw, C. Mcdermott, 2022, Clinical Neurophysiology.

Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics

Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, 2009 .

Bone remodelling in the mouse tibia is spatio-temporally modulated by oestrogen deficiency and external mechanical loading: a combined in vivo/in silico study.

Vee San Cheong, V. Kadirkamanathan, E. Dall’Ara, 2020, Acta biomaterialia.

Label-free fibre optic Raman spectroscopy with bounded simplex-structured matrix factorization for the serial study of serum in amyotrophic lateral sclerosis

V. Kadirkamanathan, J. Day, A. Malaspina, 2022, The Analyst.

Model-based estimation of intra-cortical connectivity using electrophysiological data

Visakan Kadirkamanathan, David B. Grayden, Parham Aram, 2015, NeuroImage.

Differential Evolution and Its Application to Metabolic Flux Analysis

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2005, EvoWorkshops.

Supervised-distributed control with joint performance and communication optimisation

Visakan Kadirkamanathan, Andrew R. Mills, Paul Trodden, 2020, Int. J. Control.

Autonomous crowds tracking with box particle filtering and convolution particle filtering

Visakan Kadirkamanathan, Lyudmila Mihaylova, Donka S. Angelova, 2016, Autom..

Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter

Roger M. Goodall, Visakan Kadirkamanathan, Ping Li, 2004 .

Adaptive joint detection and estimation in MIMO systems: a hybrid systems approach

Visakan Kadirkamanathan, Harini Kulatunga, V. Kadirkamanathan, 2006, IEEE Transactions on Signal Processing.

A Self-Organized Multiple Model Approach for Neural-Adaptive Control of Jump Nonlinear Systems

Visakan Kadirkamanathan, Simon G. Fabri, S. Fabri, 1998 .

Recursive Estimation of Dynamic Modular RBF Networks

Visakan Kadirkamanathan, Maha Kadirkamanathan, V. Kadirkamanathan, 1995, NIPS.

Risk Mining for Strategic Decision Making

Visakan Kadirkamanathan, Peter J. Fleming, G. M. Allan, 2007, AWIC.

Gas Turbine Engine Condition Monitoring Using Gaussian Mixture and Hidden Markov Models

Visakan Kadirkamanathan, William R. Jacobs, Ping Li, 2020, International Journal of Prognostics and Health Management.

Static and dynamical systems approach to engine condition monitoring

Visakan Kadirkamanathan, V. C. Patel, V. Kadirkamanathan, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Multiple Gaussian process models for direct time series forecasting

Visakan Kadirkamanathan, Tomohiro Hachino, V. Kadirkamanathan, 2011 .

Time Series Forecasting Using Multiple Gaussian Process Prior Model

Visakan Kadirkamanathan, Tomohiro Hachino, V. Kadirkamanathan, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

A Likelihood Ratio-Based Approach to Bleed Valve Event Detection in Gas Turbine Engines

Visakan Kadirkamanathan, Andrew R. Mills, Ping Li, 2018, 2018 UKACC 12th International Conference on Control (CONTROL).

A Rao-Blackwellised particle filter-based likelihood ratio approach to fault diagnosis for linear stochastic systems

Ian Postlethwaite, Ping Li, Visakan Kadirkamanathan, 2009, 2009 European Control Conference (ECC).

Fault detection and isolation in non-linear stochastic systems—A combined adaptive Monte Carlo filtering and likelihood ratio approach

Visakan Kadirkamanathan, Ping Li *, V. Kadirkamanathan, 2004 .

Fault detection, isolation and diagnosis with particle filters for nonlinear stochastic systems

Visakan Kadirkamanathan, Ping Li, V. Kadirkamanathan, 2003 .

Particle filtering-based fault detection in non-linear stochastic systems

Visakan Kadirkamanathan, Ping Li, Simon G. Fabri, 2002, Int. J. Syst. Sci..

FDI IN NONLINEAR STOCHASTIC SYSTEMS USING ADAPTIVE MONTE CARLO FILTERS AND LIKELIHOOD RATIO APPROACH

Visakan Kadirkamanathan, Ping Li, V. Kadirkamanathan, 2002 .

Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems

Visakan Kadirkamanathan, Ping Li, V. Kadirkamanathan, 2001, 2001 European Control Conference (ECC).

Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems

Visakan Kadirkamanathan, Ping Li, V. Kadirkamanathan, 2001, IEEE Trans. Syst. Man Cybern. Part C.

Sequential Monte Carlo filtering vs. the IMM estimator for fault detection and isolation in nonlinear systems

Thiagalingam Kirubarajan, Visakan Kadirkamanathan, Ping Li, 2001, SPIE Defense + Commercial Sensing.

On Gas Turbine Engine and Control System Condition Monitoring

Visakan Kadirkamanathan, G. G. Kulikov, Timofei Breikin, 1997 .

Weak Interactions Based System Partitioning Using Integer Linear Programming pdf

Visakan Kadirkamanathan, Paul A. Trodden, Andrew R. Mills, 2017, ArXiv.

A Bayesian framework for identifying cell migration dynamics

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Renshaw, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The Neutrophil's Eye-View: Inference and Visualisation of the Chemoattractant Field Driving Cell Chemotaxis In Vivo

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2012, PloS one.

Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages

Visakan Kadirkamanathan, Stephen A. Billings, Daniel Coca, 2009, Bioinform..

The effect of intensive diabetes therapy on measures of autonomic nervous system function in the Diabetes Control and Complications Trial (DCCT)

V. Kadirkamanathan, 1998, Diabetologia.

Non-apoptotic pioneer neutrophils initiate an endogenous swarming response in a zebrafish tissue injury model

V. Kadirkamanathan, S. Renshaw, C. Loynes, 2019, bioRxiv.

Metabolic flux distribution analysis by 13C-tracer experiments using the Markov chain-Monte Carlo method.

S. Billings, V. Kadirkamanathan, S. Wongsa, 2005, Biochemical Society transactions.

Metaparametric Neural Networks for Survival Analysis

Visakan Kadirkamanathan, J. Mark Wilkinson, Fabio Luis de Mello, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science

Visakan Kadirkamanathan, Julian Mercieca, V. Kadirkamanathan, 2016, Annu. Rev. Control..

Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction

Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside, 1990, NIPS 1990.

50 Years of international journal of systems science: a review of the past and trends for the future

Zeshui Xu, Visakan Kadirkamanathan, Xinxin Wang, 2020, Int. J. Syst. Sci..

STATISTICAL CONTROL OF GROWING AND PRUNING IN RBF-LIKE NEURAL NETWORKS

Visakan Kadirkamanathan, Norbert Jankowski, V. Kadirkamanathan, 1997 .

Personalized estimation of one-year mortality risk after elective hip or knee arthroplasty for osteoarthritis

V. Kadirkamanathan, E. McCloskey, O. Furnes, 2020, Bone & joint research.

Modelling and analysis of electrical impedance myography of the lateral tongue

V. Kadirkamanathan, C. Mcdermott, Harry E. McDonough, 2020, Physiological measurement.

Prepatterning in the Stem Cell Compartment

S. Billings, V. Kadirkamanathan, P. Andrews, 2010, PloS one.

CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin

Visakan Kadirkamanathan, Evgeny Zotov, V. Kadirkamanathan, 2021, Frontiers in Artificial Intelligence.

Conditional StyleGAN modelling and analysis for a machining digital twin

Visakan Kadirkamanathan, Evgeny Zotov, Ashutosh Tiwari, 2021, Integr. Comput. Aided Eng..

Inferring the variation of climatic and glaciological contributions to West Greenland iceberg discharge in the twentieth century

Visakan Kadirkamanathan, Steve A. Billings, Yifan Zhao, 2016 .

A century of variation in the dependence of Greenland iceberg calving on ice sheet surface mass balance and regional climate change

S. A. Billings, V. Kadirkamanathan, H. L. Wei, 2014, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Use of kernel-based Bayesian models to predict late osteolysis after hip replacement

V. Kadirkamanathan, V. Kadirkamanathan, J. Wilkinson, 2013, Journal of The Royal Society Interface.

Spatiotemporal multi-resolution approximation of the Amari type neural field model

Visakan Kadirkamanathan, Viktor K. Jirsa, David B. Grayden, 2013, NeuroImage.

Tensor electrical impedance myography identifies clinically relevant features in amyotrophic lateral sclerosis

V. Kadirkamanathan, P. Shaw, C. Mcdermott, 2021, Physiological measurement.

Gaussian Process Latent Variable Models for Fault Detection

Neil D. Lawrence, Visakan Kadirkamanathan, Peter J. Fleming, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Cascaded control to shape output virtual impedance and improve output voltage quality for power inverter

Visakan Kadirkamanathan, Qing-Chang Zhong, Shlomo Gadelovits, 2016, 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG).

Hitler: Diagnosis of a Destructive Prophet

Visakan Kadirkamanathan, V. Kadirkamanathan, 1999 .

Service‐oriented architecture on the Grid for integrated fault diagnostics

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2007, Concurr. Comput. Pract. Exp..

Grid-based decision support with pro-active mobile computing

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2005, 2005 IEEE International Conference on Services Computing (SCC'05) Vol-1.

Decision support system on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2005, Int. J. Knowl. Based Intell. Eng. Syst..

A Service Oriented Architecture for Integration of Fault Diagnostics

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2004, SAG.

Integrated fault diagnostics on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2004, Proceedings. Ninth IEEE International Conference on Engineering of Complex Computer Systems.

A data-driven framework for neural field modeling

D R Freestone, P Aram, M Dewar, 2011, NeuroImage.

A new method to monitor bone geometry changes at different spatial scales in the longitudinal in vivo μCT studies of mice bones

Visakan Kadirkamanathan, Marco Viceconti, Enrico Dall'Ara, 2019, PloS one.

Toward scalable benchmark problems for multi-objective multidisciplinary optimization

João A. Duro, V. Kadirkamanathan, R. Purshouse, 2022, IEEE Symposium Series on Computational Intelligence.

Stability analysis of DC micro-grids with CPLs under novel decentralized primary and distributed secondary control

V. Kadirkamanathan, G. Konstantopoulos, A.-C. Braitor, 2022, Autom..

Source-Side Series-Virtual-Impedance Control to Improve the Cascaded System Stability and the Dynamic Performance of Its Source Converter

Visakan Kadirkamanathan, Jingjing Huang, Qing-Chang Zhong, 2019, IEEE Transactions on Power Electronics.

Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming

Visakan Kadirkamanathan, Paul A. Trodden, Andrew R. Mills, 2021, IEEE Control Systems Letters.

JointCalc: A web-based personalised patient decision support tool for joint replacement

Visakan Kadirkamanathan, Parham Aram, J. Mark Wilkinson, 2020, Int. J. Medical Informatics.

Using feedback control to actively regulate the healing rate of a self-healing process subjected to low cycle dynamic stress

Visakan Kadirkamanathan, Bishakh Bhattacharya, S. A. Pope, 2016 .

Variable neural networks for adaptive control of nonlinear systems

Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings, 1999, IEEE Trans. Syst. Man Cybern. Part C.

Stable Sequential Identification of Continuous Nonlinear Dynamical Systems by Growing RBF Networks

S. A. Billings, Guo-Ping Liu, V. Kadirkamanathan, 1994 .

Predictive control of fast-sampled systems using the delta-operator

Sean R. Anderson, Visakan Kadirkamanathan, C. Halauca, 2009, Int. J. Syst. Sci..

Optimisation of maintenance scheduling strategies on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Alex Shenfield, 2007, 2007 IEEE Symposium on Computational Intelligence in Scheduling.

Optimisation of Maintenance Scheduling Strategies on the Grid

Visakan Kadirkamanathan, Peter J. Fleming, Alex Shenfield, 2007, CISched.

Stability analysis and nonlinear current‐limiting control design for DC micro‐grids with CPLs

Visakan Kadirkamanathan, George C. Konstantopoulos, Andrei-Constantin Braitor, 2020, IET Smart Grid.

Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter

Visakan Kadirkamanathan, Ping Li, Roger Goodall, 2003, 2003 European Control Conference (ECC).

Modeling of Supply Chain Contextual-Load Model for Instability Analysis

Visakan Kadirkamanathan, Nordin Saad, Stuart Bennett, 2008 .

A DES approach for the contextual load modelling of supply chain system for instability analysis

Visakan Kadirkamanathan, Nordin Saad, V. Kadirkamanathan, 2006, Simul. Model. Pract. Theory.

Dynamic model tracking design for low inertia, high speed permanent magnet ac motors.

V Kadirkamanathan, P Stewart, V. Kadirkamanathan, 2004, ISA transactions.

Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2004, 2004 Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

A data-driven approach for predicting printability in metal additive manufacturing processes

Visakan Kadirkamanathan, George Panoutsos, Mordechai Katzman, 2020, Journal of Intelligent Manufacturing.

Monitoring of Aircraft Engines

Visakan Kadirkamanathan, Peter J. Fleming, P. Fleming, 2009 .

Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models

S. A. Billings, V. Kadirkamanathan, M. A. Chadwick, 2006, Signal Process..

A nonlinear model for time series prediction and signal interpolation

Visakan Kadirkamanathan, Mahesan Niranjan, M. Niranjan, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Statistical Control of RBF-like Networks for Classification

Visakan Kadirkamanathan, Norbert Jankowski, V. Kadirkamanathan, 1997, ICANN.

Data driven modelling and simulation of wetland dynamics

V. Kadirkamanathan, D. Wilton, Angesh Anupam, 2021, International Journal of Modelling and Simulation.

Estimation and Model Selection for an IDE-Based Spatio-Temporal Model

Visakan Kadirkamanathan, Kenneth Scerri, Michael Dewar, 2009, IEEE Transactions on Signal Processing.

Functional Adaptive Control: An Intelligent Systems Approach

Visakan Kadirkamanathan, Simon G. Fabri, S. Fabri, 2012 .

Development of a New Machine Learning-based Informatics System for Product Health Monitoring

Visakan Kadirkamanathan, Mahdi Mahfouf, Olusayo Obajemu, 2020 .

Conflict Data Sets and Point Patterns

Visakan Kadirkamanathan, Michael Dewar, Guido Sanguinetti, 2013 .

Changes in the ultra-low frequency wave field during the precursor phase to the Sichuan earthquake: DEMETER observations

V. Kadirkamanathan, S. Walker, O. Pokhotelov, 2013 .

A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations

Visakan Kadirkamanathan, Mateo Leco, V. Kadirkamanathan, 2021, Robotics Comput. Integr. Manuf..

Multiple models for blind multiuser detection in MIMO DS/CDMA systems

Visakan Kadirkamanathan, Harini Kulatunga, M. H. Jawad, 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids

Visakan Kadirkamanathan, George C. Konstantopoulos, A.-C. Braitor, 2020, IEEE Transactions on Control Systems Technology.

In-flight Novelty Detection with Convolutional Neural Networks pdf

Visakan Kadirkamanathan, Andrew R Mills, Adam Hartwell, 2021, ArXiv.

Positive interactions of mechanical loading and PTH treatments on spatio-temporal bone remodelling.

Vee San Cheong, V. Kadirkamanathan, E. Dall’Ara, 2021, Acta biomaterialia.

Analyzing Intracellular flux Distributions of Thermoanaerobacter sp.X514 under Various Substrate Conditions by Gibbs Sampling

V. Kadirkamanathan, L. Yao, Jing Yang, 2013 .

Integrated Sensing, Monitoring and Healing of Composite Systems

V. Kadirkamanathan, B. Bhattacharya, S. Pope, 2016 .

Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity

Visakan Kadirkamanathan, George Papadatos, Peter Willett, 2010, J. Chem. Inf. Model..

A Spatiotemporal Estimation Framework for Real-World LIDAR Wind Speed Measurements

Visakan Kadirkamanathan, Julian Mercieca, Parham Aram, 2020, IEEE Transactions on Control Systems Technology.

Unscented Rauch-Tung-Striebel smoothing for nonlinear descriptor systems

Visakan Kadirkamanathan, Julian Mercieca, Parham Aram, 2015, 2015 European Control Conference (ECC).

A systematic approach to the scale separation problem in the development of multiscale models

V. Kadirkamanathan, M. Viceconti, D. Lacroix, 2021, PloS one.

Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation

Sean R. Anderson, Visakan Kadirkamanathan, Parham Aram, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations

Visakan Kadirkamanathan, Guido Sanguinetti, Andrew Zammit Mangion, 2012, IEEE Transactions on Signal Processing.

Estimating patient-specific mortality after joint replacement: algorithm development and validation using national audit datasets

Visakan Kadirkamanathan, Parham Aram, Lea Trela-Larsen, 2019, Osteoarthritis and Cartilage.

An evaluation of survival modelling approaches for personalised risk prediction after hip replacement for osteoarthritis

V. Kadirkamanathan, E. McCloskey, A. Blom, 2018 .

A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes

V. Kadirkamanathan, M. Mahfouf, T. McLeay, 2022, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.

Guidance on the use of complex systems models for economic evaluations of public health interventions

V. Kadirkamanathan, N. Gilbert, S. Paisley, 2023, Health economics.

Through-life Monitoring of Resource-constrained Systems and Fleets

V. Kadirkamanathan, A. Hartwell, A. Mills, 2023, ArXiv.

Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters

Alon Kuperman, Visakan Kadirkamanathan, Qing-Chang Zhong, 2019, IEEE Transactions on Industrial Electronics.

Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Corynebacterium glutamicum

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2006, Bioinform..

Multiple$H^infty$Filter-Based Deterministic Sequence Estimation in Non-Gaussian Channels

Visakan Kadirkamanathan, Harini Kulatunga, V. Kadirkamanathan, 2006, IEEE Signal Processing Letters.

Adaptive multiuser detection for frequency selective channel using IMM

Visakan Kadirkamanathan, Mohamed H. Jaward, V. Kadirkamanathan, 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

The Role of the Loading Condition in Predictions of Bone Adaptation in a Mouse Tibial Loading Model

Vee San Cheong, V. Kadirkamanathan, E. Dall’Ara, 2021, Frontiers in Bioengineering and Biotechnology.

Sensing for aerospace combustor health monitoring

Visakan Kadirkamanathan, Andrew R. Mills, V. Kadirkamanathan, 2020, Aircraft Engineering and Aerospace Technology.

A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing

Visakan Kadirkamanathan, Mahdi Mahfouf, Moschos Papananias, 2019, Comput. Ind..

UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters

Alon Kuperman, Visakan Kadirkamanathan, Qing-Chang Zhong, 2017, IEEE Transactions on Industrial Electronics.

Inspection by exception: A new machine learning-based approach for multistage manufacturing

Visakan Kadirkamanathan, Mahdi Mahfouf, Olusayo Obajemu, 2020, Appl. Soft Comput..

An Intelligent Metrology Informatics System based on Neural Networks for Multistage Manufacturing Processes

Visakan Kadirkamanathan, Mahdi Mahfouf, Moschos Papananias, 2019, Procedia CIRP.

Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation

Visakan Kadirkamanathan, Kenneth Scerri, Michael Dewar, 2009, IEEE Transactions on Signal Processing.

An efficient TOF-SIMS image analysis with spatial correlation and alternating non-negativity-constrained least squares

Visakan Kadirkamanathan, Parham Aram, Seetharaman Vaidyanathan, 2015, Bioinform..

A data-driven framework for identifying nonlinear dynamic models of genetic parts.

Visakan Kadirkamanathan, Stephen A Billings, Sean R Anderson, 2012, ACS synthetic biology.

System identification of the fermentation system of Thermoanaerobacter sp. X514

Visakan Kadirkamanathan, Jing Yang, Hua-Liang Wei, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

Kalman filter based estimation of dynamic modular networks

Visakan Kadirkamanathan, M. Kadirkamanathan, V. Kadirkamanathan, 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.

A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing

V. Kadirkamanathan, M. Mahfouf, T. McLeay, 2022, Journal of Manufacturing Processes.

Control of DC power distribution system of a hybrid electric aircraft with inherent overcurrent protection

P.J. Norman, V. Kadirkamanathan, A-C. Braitor, 2018, 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC).

Admittance matrix computation and stability analysis of droop controlled DC micro-grids with CPL

Visakan Kadirkamanathan, George C. Konstantopoulos, A.-C. Braitor, 2020, IFAC-PapersOnLine.

Enhanced Primary Droop Controller for Meshed DC Micro-Grids with Overvoltage Protection

Visakan Kadirkamanathan, George C. Konstantopoulos, Andrei-Constantin Braitor, 2021, 2021 29th Mediterranean Conference on Control and Automation (MED).

Novel droop control design for overvoltage protection of DC microgrids with a constant power load

V. Kadirkamanathan, G. C. Konstantopoulos, A.-C. Braitor, 2020, 2020 28th Mediterranean Conference on Control and Automation (MED).

A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process

Visakan Kadirkamanathan, Shahnoor Shanta, V. Kadirkamanathan, 2015, Int. J. Syst. Sci..

Parametric polyspectrum density estimation using the bootstrap method

Visakan Kadirkamanathan, Shahnoor Shanta, V. Kadirkamanathan, 2007, Signal Process..

Online Variational Inference for State-Space Models with Point-Process Observations

Visakan Kadirkamanathan, Guido Sanguinetti, Mahesan Niranjan, 2011, Neural Computation.

Computational system identification for Bayesian NARMAX modelling

Sean R. Anderson, Visakan Kadirkamanathan, Tara Baldacchino, 2013, Autom..

Structure detection and parameter estimation for NARX models in a unified EM framework

Sean R. Anderson, Visakan Kadirkamanathan, Tara Baldacchino, 2012, Autom..

Analysis of composite plate dynamics using spatial maps of frequency-domain features described by Gaussian processes

Sean R. Anderson, Visakan Kadirkamanathan, Bishakh Bhattacharya, 2014 .

Estimation of Hidden Chemoattractant Field from Observed Cell Migration Patterns

Visakan Kadirkamanathan, Stephen A. Renshaw, Anastasia Kadochnikova, 2018 .

Interacting multiple model for adaptive narrowband interference rejection in spread spectrum systems

Visakan Kadirkamanathan, Mohamed H. Jaward, V. Kadirkamanathan, 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

A Zebrafish Compound Screen Reveals Modulation of Neutrophil Reverse Migration as an Anti-Inflammatory Mechanism

V. Kadirkamanathan, D. Irimia, S. Walmsley, 2014, Science Translational Medicine.

Inter-engine variation analysis for health monitoring of aerospace gas turbine engines

Visakan Kadirkamanathan, William R. Jacobs, Andrew R. Mills, 2018 .

Nonlinear system identification using wavelet networks

Visakan Kadirkamanathan, Stephen A. Billings, Guo-Ping Liu, 1998, Int. J. Syst. Sci..

Identification of Two-Time Scaled Systems Using Prefilters

Visakan Kadirkamanathan, Karl Heinz Kienitz, Anderson L. O. Cavalcanti, 2018, J. Control. Sci. Eng..

Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2016, Int. J. Syst. Sci..

Estimation of potential field environments from heterogeneous behaviour of sensing agents

V. Kadirkamanathan, A. Kadochnikova, 2023, IET Signal Process..

Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter

V. Kadirkamanathan, P. Li, R. Goodall, 2003, 2003 European Control Conference (ECC).

Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals

V. Kadirkamanathan, S. Anderson, 2008, IEEE Transactions on Signal Processing.

Model-based estimation of intra-cortical connectivity using electrophysiological data

V. Kadirkamanathan, D. Grayden, M. Cook, 2015, NeuroImage.

Modelling and identification of non-linear deterministic systems in the delta-domain

V. Kadirkamanathan, S.R. Anderson, V. Kadirkamanathan, 2007, Autom..

A Canonical Space-Time State Space Model: State and Parameter Estimation

Visakan Kadirkamanathan, Michael Dewar, V. Kadirkamanathan, 2007, IEEE Transactions on Signal Processing.

Analysis of Neighborhood Behavior in Lead Optimization and Array Design

V. Kadirkamanathan, P. Willett, V. Gillet, 2009, Journal of Chemical Information and Modeling.

System identification from small data sets using an output jittering method with application to model estimation of bioethanol production

Visakan Kadirkamanathan, Jing Yang, Hua-Liang Wei, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Multi-objective optimization of operational variables in a waste incineration plant

Sean R. Anderson, Visakan Kadirkamanathan, Andrew J. Chipperfield, 2005, Comput. Chem. Eng..

Modeling Conflict Dynamics with Spatio-temporal Data

Visakan Kadirkamanathan, Guido Sanguinetti, Michael Dewar, 2013, Springer Briefs in Applied Sciences and Technology.

Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration

Visakan Kadirkamanathan, Ashutosh Tiwari, Evgeny Zotov, 2020, EANN.

Cross-entropy based pruning of the hierarchical mixtures of experts

Visakan Kadirkamanathan, C. C. Whitworth, V. Kadirkamanathan, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

: A Web-based Personalised Patient Decision Support Tool for Joint Replacement. International Journal of Medical

V. Kadirkamanathan, A. Sayers, A. Hills, 2022 .

Stable sequential identification of continuous nonlinear dynamical systems by growing radial basis function networks

Visakan Kadirkamanathan, Steve A. Billings, Guo-Ping Liu, 1996 .

The loading direction dramatically affects the mechanical properties of the mouse tibia

Vee San Cheong, V. Kadirkamanathan, Enrico Dall'Ara, 2024, Frontiers in bioengineering and biotechnology.