Derek A. Linkens

发表

Electronic Modeling of Slow-Waves and Spike-Activity in Intestinal Tissue

Derek A. Linkens, 1980, IEEE Transactions on Biomedical Engineering.

Hierarchical rule-based and self-organizing fuzzy logic control for depth of anaesthesia

Derek A. Linkens, Jiann Shing Shieh, John E. Peacock, 1999, IEEE Trans. Syst. Man Cybern. Part C.

Neural-Fuzzy Modeling for Tensile Strength Prediction of Heat-Treated Alloy Steels

Derek A. Linkens, M-Y Chen, 2001 .

Rule-base self-generation and simplification for data-driven fuzzy models

Derek A. Linkens, Min-You Chen, 2004, Fuzzy Sets Syst..

Intelligent Supervisory Control - A Qualitative Bond Graph Reasoning Approach

Derek A. Linkens, Hang Wang, 1996, World Scientific Series in Robotics and Intelligent Systems.

Intelligent engineering in biomedicine

Derek A. Linkens, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

A note on the integration of fuzzy systems with neural networks under a TLTT framework

Derek A. Linkens, Junhong Nie, T. H. Lee, 1997, Fuzzy Sets Syst..

OPTIMISATION OF STEEL PRODUCTION INCORPORATING ECONOMIC FACTORS

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2002 .

SIVA: a hybrid knowledge-and-model-based advisory system for intensive care ventilators

Derek A. Linkens, Mahdi Mahfouf, Gary H. Mills, 2004, IEEE Transactions on Information Technology in Biomedicine.

Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms: Part II. Closed-loop control of simultaneous administration of propofol and remifentanil

Derek A. Linkens, John E. Peacock, Mahdi Mahfouf, 2005, Artif. Intell. Medicine.

Fuzzy Logic-Based Anti-Sway Control Design for Overhead Cranes

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2000, Neural Computing & Applications.

Intelligent model-based advisory system for the management of ventilated intensive care patients. Part II: Advisory system design and evaluation

George Panoutsos, Derek A. Linkens, Mahdi Mahfouf, 2010, Comput. Methods Programs Biomed..

Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels

Derek A. Linkens, Mahdi Mahfouf, Min-You Chen, 2004, PPSN.

Optimal design of alloy steels using evolutionary computing

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Neuro-expert approach to characteristics recognition for process monitoring and performance evaluation

Derek A. Linkens, Min-You Chen, D. Linkens, 1997, Int. J. Intell. Syst..

PSICON—A simulation package for the design of digitally controlled systems

Derek A. Linkens, S. Bennett, L. S. Gray, 1982 .

A survey of fuzzy logic monitoring and control utilisation in medicine

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2001, Artif. Intell. Medicine.

Rule-base derivation for intensive care ventilator control using ANFIS

Derek A. Linkens, Mahdi Mahfouf, Gary H. Mills, 2003, Artif. Intell. Medicine.

A Fuzzy Modelling Approach Using Hierarchical Neural Networks

Derek A. Linkens, Min-You Chen, D. Linkens, 2000, Neural Computing & Applications.

Adaptive fuzzy model of operator functional state in human-machine system: a preliminary study

Derek A. Linkens, Mahdi Mahfouf, Peter Nickel, 2007 .

Artificial intelligence techniques for the prediction of bladder cancer progression

Maysam F. Abbod, Derek A. Linkens, Min-You Chen, 2005, ESANN.

A New Framework for Real-Time Adaptive Fuzzy Monitoring and Control for Humans Under Psychophysiological Stress

Derek A. Linkens, Mahdi Mahfouf, Peter Nickel, 2008, BIOSIGNALS.

Hybrid Physiological Modeling of Subjects Undergoing Cyclic Physical Loading

Derek A. Linkens, Mahdi Mahfouf, Ching-Hua Ting, 2010, BIOSIGNALS.

Survey on the use of smart and adaptive engineering systems in medicine

Georgios Dounias, Maysam F. Abbod, Derek A. Linkens, 2002, Artif. Intell. Medicine.

Neuronal network modelling of the effects of anaesthetic agents on somatosensory pathways

Derek A. Linkens, Ching-Hua Ting, A. Angel, 2003, Biological Cybernetics.

Complex Physiologically Based Drug Models: A New Approach to Model Reduction

Derek A. Linkens, Mahdi Mahfouf, D. Xue, 2000 .

FCMAC: A fuzzified cerebellar model articulation controller with self-organizing capacity

Derek A. Linkens, Junhong Nie, J. Nie, 1994, Autom..

Data and Knowledge Management System for Integrated Research in Materials: KMSI

Derek A. Linkens, Mahdi Mahfouf, Lucian Tipi, 2006 .

The design of supervisory rule-based control in the operating theatre via an anaesthesia simulator

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2002, Expert Syst. J. Knowl. Eng..

Real-Time Adaptive Automation System Based on Identification of Operator Functional State in Simulated Process Control Operations

George Panoutsos, Derek A. Linkens, Mahdi Mahfouf, 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Artificial Intelligence in Predicting Bladder Cancer Outcome

Maysam F. Abbod, Derek A. Linkens, Min-You Chen, 2003 .

On-line identification of mechanical parameters of the lung

Derek A. Linkens, S. J. Rimmer, 1982 .

Online elicitation of Mamdani-type fuzzy rules via TSK-based generalized predictive control

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2003, IEEE Trans. Syst. Man Cybern. Part B.

Hierarchical fuzzy modelling for monitoring depth of anaesthesia

Derek A. Linkens, John E. Peacock, J. S. Shieh, 1996, Fuzzy Sets Syst..

A closed-loop hybrid physiological model relating to subjects under physical stress

Derek A. Linkens, Mahdi Mahfouf, Emad El-Samahy, 2006, Artif. Intell. Medicine.

Survey of utilisation of fuzzy technology in Medicine and Healthcare

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2001, Fuzzy Sets Syst..

Adaptive estimation for fuzzy TSK model-based predictive control

Derek A. Linkens, Mahdi Mahfouf, S. Kandiah, 2001 .

Evolutionary Computing for Metals Properties Modelling

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2007 .

Evaluation of ACSL

Derek A. Linkens, Stuart Bennett, M. Rahbar, 1986 .

Self-Learning Fuzzy Control with Temporal Knowledge for Atracurium-Induced Neuromuscular Block during Surgery

Derek A. Linkens, J. J. Ross, David G. Mason, 1999, Comput. Biomed. Res..

Self-Learning Fuzzy Logic Control in Medicine

Derek A. Linkens, David G. Mason, Neil D. Edwards, 1997, AIME.

Recognition of patient anaesthetic levels: neural network systems, principal components analysis, and canonical discriminant variates

Derek A. Linkens, L. Vefghi, D. Linkens, 1997, Artif. Intell. Medicine.

Multi-objective genetic optimisation for self-organising fuzzy logic control

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 1998 .

Migrating from target-controlled infusion to closed-loop control in general anaesthesia

Derek A. Linkens, Ching-Hua Ting, A. Angel, 2004, Comput. Methods Programs Biomed..

A systematic neuro-fuzzy modeling framework with application to material property prediction

Derek A. Linkens, Min-You Chen, D. Linkens, 2001, IEEE Trans. Syst. Man Cybern. Part B.

Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model

George Panoutsos, Derek A. Linkens, Mahdi Mahfouf, 2010, Comput. Methods Programs Biomed..

The design of a bond-graph-based controller for muscle relaxant anaesthesia

Derek A. Linkens, H. H. Chen, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

Use of Heart Rate Variability Analysis for Quantitatively Assessing Operator's Mental Workload

Derek A. Linkens, Jianhua Zhang, Mahdi Mahfouf, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

Nonlinear Data Transfonnation to Improve Flow Stress Prediction Using Neural Networks

Derek A. Linkens, Mahdi Mahfouf, Y. Y. Yang, 2004 .

A hybrid neuro-fuzzy PID controller

Derek A. Linkens, Min-You Chen, D. Linkens, 1998, Fuzzy Sets Syst..

Estimation of Latency Changes and Relative Amplitudes in Somatosensory Evoked Potentials Using Wavelets and Regression

Derek A. Linkens, Ching-Hua Ting, A. Angel, 1999, Comput. Biomed. Res..

Learning control using fuzzified self-organizing radial basis function network

Derek A. Linkens, Junhong Nie, J. Nie, 1993, IEEE Trans. Fuzzy Syst..

A hierarchical system of on-line advisory for monitoring and controlling the depth of anaesthesia using self-organizing fuzzy logic

Derek A. Linkens, A. J. Asbury, J. S. Shieh, 2005, Eng. Appl. Artif. Intell..

Synchronization of Hodgkin-Huxley-Type and Related Oscillators

Derek A. Linkens, 1982 .

Fuzzy model-based predictive control using an ARX structure with feedforward

Derek A. Linkens, Mahdi Mahfouf, S. Kandiah, 2002, Fuzzy Sets Syst..

Roll Force and Torque Prediction Using Neural Network and Finite Element Modelling

Derek A. Linkens, Yong Y. Yang, J. Talamantes-Silva, 2003 .

Rule-base generation via symbiotic evolution for a Mamdani-type fuzzy control system

Derek A. Linkens, Mahdi Mahfouf, Masoud Jamei, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Fuzzy Logic based Identification of Operator Functional States Using Multiple Physiological and Performance Measures

Derek A. Linkens, Jianhua Zhang, Mahdi Mahfouf, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

Fuzzy Logic Knowledge-Based Control for Muscle Relaxant Anaesthesia

Derek A. Linkens, Mahdi Mahfouf, D. Linkens, 1988 .

Adaptive ventilator FiO2 advisor: use of non-invasive estimations of shunt

Derek A. Linkens, Mahdi Mahfouf, Gary H. Mills, 2004, Artif. Intell. Medicine.

The Intelligent Systems in Biomedicine laboratory in the Department of Automatic Control and Systems Engineering at the University of Sheffield, UK

Derek A. Linkens, Mahdi Mahfouf, 2001, Artif. Intell. Medicine.

Fuzzy logic for auditory evoked response monitoring and control of depth of anaesthesia

Derek A. Linkens, John E. Peacock, M. Elkfafi, 1998, Fuzzy Sets Syst..

Input selection and partition validation for fuzzy modelling using neural network

Derek A. Linkens, Min-You Chen, D. Linkens, 1999, Fuzzy Sets Syst..

Modelling of plane strain compression (PSC) test for aluminium alloys using finite elements and fuzzy logic

Maysam F. Abbod, Derek A. Linkens, I. C. Howard, 2004, Eng. Appl. Artif. Intell..

An Integrated Physiological Model of the Lung Mechanics and Gas Exchange using Electrical Impedance Tomography in the Analysis of Ventilation Strategies in ARDS Patients

Derek A. Linkens, Mahdi Mahfouf, Gary H. Mills, 2010, BIOSIGNALS.

Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms: Part I. Classification of depth of anaesthesia and development of a patient model

Derek A. Linkens, John E. Peacock, Mahdi Mahfouf, 2005, Artif. Intell. Medicine.

Rule-base self-generation and simplification for data-driven fuzzy models

Derek A. Linkens, Min-You Chen, D. Linkens, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Elicitation and fine-tuning of fuzzy control rules using symbiotic evolution

Derek A. Linkens, Mahdi Mahfouf, Masoud Jamei, 2004, Fuzzy Sets Syst..

Roll speed and roll gap modelling – A case study for an experimental rolling mill

Derek A. Linkens, Mahdi Mahfouf, Y. Y. Yang, 2004 .

Multi-scale CAFE Modelling for Hot Deformation of Aluminium Alloys

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2006, International Conference on Computational Science.

Intelligent Systems in Biomedicine

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2002, Advances in Computational Intelligence and Learning.

Synthesis of an anaesthetic agent administration system using fuzzy inductive reasoning

Àngela Nebot, Derek A. Linkens, François E. Cellier, 1996, Artif. Intell. Medicine.

Modelling of Hybrid Systems Based on Extended Coloured Petri Nets

Stephen P. Banks, Derek A. Linkens, Yong Yao Yang, 1994, Hybrid Systems.

Temperature distribution in steel during hot rolling: pseudo-bond graph view

Surjya K. Pal, Derek A. Linkens, D. Linkens, 2002, Simul. Model. Pract. Theory.

Monitoring and control of unconsciousness during clinical surgery: Auditory evoked potentials (AEP) versus the clinical gold standard (CGS)

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 2008 .

Extended Coloured Petri Nets and Its Application in Mixed-Mode System Modelling

Derek A. Linkens, Yong Yao Yang, D. Linkens, 1995, EUROSIM.

A systematic method for fuzzy modeling from numerical data

Derek A. Linkens, Min-You Chen, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System

Derek A. Linkens, Jianhua Zhang, Mahdi Mahfouf, 2007, 2007 IEEE International Fuzzy Systems Conference.

Generalised Predictive Control (GPC) Integrates with Fuzzy Logic Control to Regulate Neuromuscular Blockade

Maysam F. Abbod, Derek A. Linkens, Mahdi Mahfouf, 1997 .

Optimisation in the Modelling of Digestive Tract Electrical Signals

Derek A. Linkens, 1975, Optimization Techniques.

Auditory Evoked Responses for Measuring Depth of Anaesthesia using Wavelet-Fuzzy Logic System

Maysam F. Abbod, Derek A. Linkens, J. Backory, 1997 .

AI in control Systems engineering

Derek A. Linkens, D. Linkens, 1990, The Knowledge Engineering Review.

Adaptive systems and hybrid computational intelligence in medicine

Georgios Dounias, Derek A. Linkens, D. Linkens, 2004, Artif. Intell. Medicine.