Evor L. Hines

发表

A method of clustering a self organising map neural network to determine subgroups of non-specific lower back pain patients

Mark S. Leeson, Ranjit Lall, S. Empson, 2008 .

An investigation into the use of neural networks for an expert system in nuclear medicine image analysis

Evor L. Hines, D. Anthony, D. Taylor, 1989 .

Classifier Systems Based on Possibility Distributions: A Comparative Study

Sameer Singh, Evor L. Hines, Julian W. Gardner, 1997, ICANNGA.

A Neuro-Genetic Hybrid Algorithm Utilizing Outdoors LOS Optical Wireless Channels

Evor L. Hines, Adnan I. Elberjaoui Yakzan, Roger J. Green, 2012, 2012 Fourth International Conference on Computational Intelligence, Communication Systems and Networks.

A ripple-spreading genetic algorithm for the network coding problem

Mark S. Leeson, Evor L. Hines, Xiao-Bing Hu, 2010, IEEE Congress on Evolutionary Computation.

RWA problem for designing DWDM networks - delay against capacity optimisation

Habib F. Rashvand, Mark S. Leeson, Yousef S. Kavian, 2007 .

Analysis of Electronic Nose Data Using Logical Neurons

Evor L. Hines, J. W. Gardner, J. D. Mason, 1993 .

Genetic algorithm optimisation of the SNR for indoor optical wireless communication systems

Matthew D. Higgins, Roger J. Green, Mark S. Leeson, 2010, 2010 12th International Conference on Transparent Optical Networks.

The Analysis of Plant’s Organic Volatiles Compounds with Electronic Nose and Pattern Recognition Techniques

Mark S. Leeson, Fu Zhang, Evor L. Hines, 2011 .

Optimising the number of electronic nose sensors needed using genetic algorithms and neural networks

Mark S. Leeson, Evor L. Hines, Daciana Iliescu, 2008 .

Effect of Primary User Traffic on Sensing-Throughput Tradeoff for Cognitive Radios

Liang Tang, Mohamed-Slim Alouini, Yunfei Chen, 2011, IEEE Transactions on Wireless Communications.

Stimulus reconstruction from neural spike trains: Are conventional filters suitable for both periodic and aperiodic stimuli?

Evor L. Hines, Aruneema Das, Nigel G. Stocks, 2006, Signal Process..

Electronic nose simulation tool centred on PSpice

Eduard Llobet, Evor L. Hines, Julian W. Gardner, 2001 .

Detection of vapours and odours from a multisensor array using pattern-recognition techniques Part 2. Artificial neural networks

Evor L. Hines, Julian W. Gardner, H. C. Tang, 1992 .

Neural networks applied to ultrasonic tomographic image reconstruction

David A. Hutchins, Evor L. Hines, A. C. Pardoe, 2005, Neural Computing & Applications.

Ultrasound Tomography Imaging of Defects Using Neural Networks

David A. Hutchins, Evor L. Hines, J. Toby Mottram, 1992, Neural Computation.

Design of survivable dense-wavelength-division-multiplexing optical mesh transport networks using genetic algorithms

Habib F. Rashvand, Mark S. Leeson, Yousef S. Kavian, 2008 .

Application of logical neural networks to the analysis of single photon emission tomography images

Evor L. Hines, David Taylor, J. Barham, 1992 .

Adaptive neuro-fuzzy modeling for crop yield prediction

Evor L. Hines, Kefaya Qaddoum, Daciana Illiescu, 2011 .

Early detection of diseases in tomato crops: An Electronic Nose and intelligent systems approach

P. John Clarkson, Mark S. Leeson, Fu Zhang, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

The Euclidean Memory Array — A vector quantisation technique for the processing of data from interview forms

Evor L. Hines, A. B. Larkin, S. M. Thomas, 1994, Neural Computing & Applications.

Pattern recognition of fiber-reinforced plastic failure mechanism using computational intelligence techniques

Mark S. Leeson, Carlos Ramírez, Evor L. Hines, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Identification of paper quality using a hybrid electronic nose

Ingemar Lundström, Fredrik Winquist, Evor L. Hines, 1995 .

Fuzzy neural computing of coffee and tainted-water data from an electronic nose

Sameer Singh, Evor L. Hines, Julian W. Gardner, 1996 .

Survivable DWDM optical mesh transport network design via genetic algorithms

Habib F. Rashvand, Mark S. Leeson, Yousef S. Kavian, 2009 .

Meta-heuristic algorithms for optimized network flow wavelet-based image coding

Mark S. Leeson, Evor L. Hines, Huseyin Kusetogullari, 2014, Appl. Soft Comput..

Global stability results for temperature modulated convection in ferrofluids

Evor L. Hines, Daciana Iliescu, Jitender Singh, 2013, Appl. Math. Comput..

Neural network based electronic nose for classification of tea aroma

Mark S. Leeson, Evor L. Hines, Daciana Iliescu, 2008 .

Dimensionality Reduction for Sensory Datasets Based on Master-slave Synchronization of Lorenz System

Mark S. Leeson, Evor L. Hines, Daciana Iliescu, 2013, Int. J. Bifurc. Chaos.

Enhancing electronic nose performance by sensor selection using a new integer-based genetic algorithm approach

Evor L. Hines, Julian W. Gardner, Pascal Boilot, 2005 .

Integer-weight neural nets

Evor L. Hines, A. H. Khan, 1994 .

Evolutionary Minimization of Network Coding Resources

Mark S. Leeson, Evor L. Hines, Lalith P. Karunarathne, 2014, Appl. Artif. Intell..

Fuzzy Controller Design for Assisted Omni-Directional Treadmill Therapy pdf

Evor L. Hines, Oumair Naseer, Rana Atif Ali Khan, 2014, ArXiv.

Multi-input optimisation of river flow parameters and rule extraction using genetic-neural technique

Mark S. Leeson, Evor L. Hines, Daciana Iliescu, 2008 .

Comparison of neural network predictors in the classification of tracheal-bronchial breath sounds by respiratory auscultation

Evor L. Hines, Ritaban Dutta, Pascal Boilot, 2004, Artif. Intell. Medicine.

Quarter-wave phase-compensating multidielectric lens design using genetic algorithms

Lei Sun, Roger J. Green, Christos Mias, 2005 .

Yield Prediction Technique using Hybrid Adaptive Neural Genetic Network

Evor L. Hines, Kefaya Qaddoum, Daciana Iliescu, 2012, Int. J. Comput. Intell. Appl..

An effective Genetic Algorithm for the network coding problem

Mark S. Leeson, Evor L. Hines, Xiao-Bing Hu, 2009, 2009 IEEE Congress on Evolutionary Computation.

A Genetic Algorithm-Artificial Neural Network Method for the Prediction of Longitudinal Dispersion Coefficient in Rivers

Mark S. Leeson, Evor L. Hines, Daciana Iliescu, 2008 .

Neural Tree Network Based Electronic Nose

Evor L. Hines, Adhanom A. Fekadu, Julian W. Gardner, 1993 .

A study of data compression using neural networks and principal component analysis (of pulmonary scintigrams)

Evor L. Hines, D. Anthony, D. Taylor, 1989 .

Direct-detection synchronous O-CDMA system with interference estimation and cancellation

Kai Cui, Mark S. Leeson, Evor L. Hines, 2009, Photonic Network Communications.

Identification of Staphylococcus aureus infections in hospital environment: electronic nose based approach

Evor L. Hines, Julian W. Gardner, Ritaban Dutta, 2005 .

New modes of operation of the Photoparametric Amplifier for automotive applications

Roger J. Green, Mark S. Leeson, Evor L. Hines, 2011, 2011 13th International Conference on Transparent Optical Networks.

FOOD SECURITY RISK LEVEL ASSESSMENT: A FUZZY LOGIC-BASED APPROACH

Wyn Grant, Mark S. Leeson, Evor L. Hines, 2013, Appl. Artif. Intell..

Evolutionary Algorithms for Multisensor Data Fusion

Mark S. Leeson, Evor L. Hines, Daciana Iliescu, 2011 .

A review on ripple-spreading genetic algorithms for combinatorial optimization problems

Ming Wang, Mark S. Leeson, Ezequiel A. Di Paolo, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Performance Analysis of Spectrum Sensing with Multiple Status Changes in Primary User Traffic

Liang Tang, Mohamed-Slim Alouini, Yunfei Chen, 2012, IEEE Communications Letters.

Enhancing the Classification of Eye Bacteria Using Bagging to Multilayer Perceptron and Decision Tree

Mark S. Leeson, Evor L. Hines, Daciana Iliescu, 2011 .

Discriminating fiber-reinforced plastic signatures related to specific failure mechanisms: using self-organizing maps and fuzzy C-Means

Mark S. Leeson, Carlos Ramirez, Evor L. Hines, 2008 .

Pattern analysis for electronic noses

Evor L. Hines, Mario Augusto Gongora, Julian W. Gardner, 2003 .

Spectrum sensing based on recovered secondary frame in the presence of realistic decoding errors

Liang Tang, Yunfei Chen, Arumugam Nallanathan, 2012, 2012 IEEE International Conference on Communications (ICC).

Fault Tolerant Dense Wavelength Division Multiplexing Optical Transport Networks

Mark S. Leeson, Evor L. Hines, M. Naderi, 2009 .

Network Topology Effect on QoS Delivering in Survivable DWDM Optical Networks

Habib F. Rashvand, Mark S. Leeson, Yousef S. Kavian, 2009 .

A ripple-spreading network model for the study of infectious disease transmission

Ming Wang, Mark S. Leeson, Jian-Qin Liao, 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.

Genetic Algorithm Design of Neural Net Based Electronic Nose

Evor L. Hines, Julian W. Gardner, Adhanom A. Fekadu, 1993 .

Multi-user indoor optical wireless communication system channel control using a genetic algorithm

Matthew D. Higgins, Mark S. Leeson, Evor L. Hines, 2011, IET Commun..

Evolutionary fuzzy mixture model based decision support system for an anaesthetist

Evor L. Hines, R. Folland, David O. Morgan, 2008 .

Fuzzy ARTMAP based electronic nose data analysis

Eduard Llobet, Evor L. Hines, Julian W. Gardner, 1999 .

Electronic nose based tea quality standardization

Evor L. Hines, J. W. Gardner, Ritaban Dutta, 2003, Neural Networks.

An effective genetic algorithm for network coding

Mark S. Leeson, Evor L. Hines, Xiao-Bing Hu, 2012, Comput. Oper. Res..

Using Self Organising Maps to Visualise Age Related Changes in Lumbar Vertebrae and Intervertebral Discs

Charles E. Hutchinson, Evor L. Hines, Rana Atif Ali Khan, 2013, MAICS.

Optimization of cellular radio network using genetic algorithm and fuzzy logic

Mark S. Leeson, Evor L. Hines, J. An, 2008 .

Analysis of effect of primary user traffic on spectrum sensing performance

Yunfei Chen, Evor L. Hines, Bo Zhao, 2009, 2009 Fourth International Conference on Communications and Networking in China.

Swarm intelligence based link stability routing optimisation algorithm for mobile ad hoc network

Mark S. Leeson, Yousef S. Kavian, Evor L. Hines, 2008 .

Phase compensating dielectric lens design with genetic programming

Lei Sun, Roger J. Green, Mark S. Leeson, 2007 .

Classification and feature extraction strategies for multi channel multi trial BCI data

Evor L. Hines, Harsimrat Singh, Nigel G. Stocks, 2007 .

Adaptive Control of an Intelligent Tank Using Fuzzy Logic

Evor L. Hines, Rana Atif Ali Khan, Adnan I. Elberjaoui Yakzan, 2012, 2012 UKSim 14th International Conference on Computer Modelling and Simulation.

Performance Evaluation of Spectrum Sensing Using Recovered Secondary Frames With Decoding Errors

Liang Tang, Yunfei Chen, Arumugam Nallanathan, 2012, IEEE Transactions on Wireless Communications.

Application of edge detection techniques to detection of the bright band in radar data

Evor L. Hines, P. A. Watson, E. Hines, 1983, Image Vis. Comput..

Application-Specific Genetic Algorithm Targeting the Complexity of Parameter Selection in LOS Outdoors Optical Wireless Channel

Evor L. Hines, Adnan I. Elberjaoui Yakzan, Roger J. Green, 2013, 2013 UKSim 15th International Conference on Computer Modelling and Simulation.

Evolving fuzzy rules: a mixture model approach to medical diagnosis

Evor L. Hines, Mario Augusto Gongora, R. Foll, 2004 .

Genetic algorithm quality of service design in resilient dense wavelength division multiplexing optical networks

Majid Naderi, Habib F. Rashvand, Wei Ren, 2008, IET Commun..

Supervised Learning Using The Vector Memory Array Method

Evor L. Hines, Julian W. Gardner, A. B. Larkin, 1993, Workshop on Neural Network Applications and Tools.

Application of neural networks to diagnosis from single-photon emission tomography images of the human brain

Evor L. Hines, David Taylor, Steven J. Sheppard, 1993, Defense, Security, and Sensing.

Performance enhancement of spectral-amplitude coding OCDMA system using novel PPM signalling

Kai Cui, Mark S. Leeson, Evor L. Hines, 2009, Eur. Trans. Telecommun..

Unipolar codes for optical spectral-amplitude code-division multiple-access systems based on combinatorial designs

Kai Cui, Mark S. Leeson, Evor L. Hines, 2009, IET Commun..

Evolutionary fuzzy mixture models: applications in anaesthesia

Evor L. Hines, Mario Augusto Gongora, R. Foll, 2005 .

Grain Security Risk Level Prediction Using ANFIS

Evor L. Hines, Saharul Arof, Mark Leeson, 2011, 2011 Third International Conference on Computational Intelligence, Modelling & Simulation.

Artificial Intelligence in Medicine Channel Selection and Classification of Electroencephalogram Signals: an Artificial Neural Network and Genetic Algorithm-based Approach

Mark S. Leeson, Evor L. Hines, Harsimrat Singh, 2022 .

Detection of Diseases and Volatile Discrimination of Plants: An Electronic Nose and Self-Organizing Maps Approach

Mark S. Leeson, Fu Zhang, Evor L. Hines, 2011 .

Application of fuzzy logic to the automatic processing of particle image velocimetry images of a flow induced by adjacent spinning cylinders

Peter J. Bryanston-Cross, Evor L. Hines, Doina D. Udrea, 1999, Optics & Photonics.

Genetic algorithm based rainbow network flow optimization for multiple description coding in lossy network

Mark S. Leeson, Evor L. Hines, Huseyin Kusetogullari, 2010, 2010 International Conference for Internet Technology and Secured Transactions.

Intelligent Systems for Machine Olfaction: Tools and Methodologies

Mark S. Leeson, Evor L. Hines, 2011 .

Optical Communications Survivable wavelength-routed optical network design using genetic algorithms

Majid Naderi, Wei Ren, Mark S. Leeson, 2008, Eur. Trans. Telecommun..

Classification of Ear, Nose, and Throat Bacteria Using a Neural-Network-Based Electronic Nose

Evor L. Hines, Julian W. Gardner, Ritaban Dutta, 2004 .

Plant pest and disease diagnosis using electronic nose and support vector machine approach

C. N. Hewitt, Mark S. Leeson, Evor L. Hines, 2012 .

A modified multilayer perceptron model for gas mixture analysis

Udo Weimar, Evor L. Hines, Julian W. Gardner, 1993 .

Classification of bacteria responsible for ENT and eye infections using the Cyranose system

Evor L. Hines, Julian W. Gardner, Pascal Boilot, 2002 .

Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance

Evor L. Hines, Nigel G. Stocks, E. Hines, 2009 .

Application of dimensionality reduction to visualisation of high-throughput data and building of a classification model in formulated consumer product design

Evor L. Hines, Alexei Lapkin, Nicolai Peremezhney, 2012 .

On-line drift counteraction for metal oxide gas sensor arrays

Eduard Llobet, Evor L. Hines, Jesus Brezmes, 2003 .

Yield Prediction for Tomato Greenhouse Using EFuNN

Evor L. Hines, Kefaya Qaddoum, Daciana Iliescu, 2013 .

High Resolution Image Reconstruction of Polymer Composite Materials Using Neural Networks

David A. Hutchins, Evor L. Hines, J. T. Mottram, 1996 .

Diagnosis of single photon emission tomography images using artificial neural networks

Evor L. Hines, J. Barham, S. J. Sheppard, 1992 .

A neural network approach to ultrasonic tomography

David A. Hutchins, Evor L. Hines, P. Corcoran, 1992, IEEE 1992 Ultrasonics Symposium Proceedings.

Quantifying stochastic resonance in a single threshold detector for random aperiodic signals

Evor L. Hines, Nigel G. Stocks, E. Hines, 2004 .

Classification of the strain and growth phase of cyanobacteria in potable water using an electronic nose system

Eduard Llobet, Evor L. Hines, Julian W. Gardner, 2000 .

Double conversion heterodyne photoparametric amplifier

Roger J. Green, Evor L. Hines, Hussam A. Alhagagi, 2010, 2010 12th International Conference on Transparent Optical Networks.

Prediction of health of dairy cattle from breath samples using neural network with parametric model of dynamic response of array of semiconducting gas sensors

Evor L. Hines, Julian W. Gardner, T. T. Mottram, 1999 .