Dr Evor Hines - Publications
Publications:
(a) Articles in refereed journals (AIRJ)
AIRJ1: E.L. Hines and P.A. Watson, "Application of edge detection techniques to the detection of the bright band in radar data", Image and Vision Computing, Vol 1, No 4, pp221-26, November, 1983.
AIRJ2: E.L. Hines, "Image processing techniques for the detection of the radar bright band", University of Bradford Ph.D. thesis, October, 1983.
AIRJ3: E.L. Hines, and A.J. Redfern, "Medical diagnosis", Personal Computer World, July, 1988, pp150-55.
AIRJ4: S. Tran, W.C. Cullyer, E.L. Hines and C. Marks, High quality software methodology for automotive applications, Microprocessors and microsystems, 14(5), June, 1990, 320-323.
AIRJ5: J.W. Gardner, E.L. Hines and M. Wilkinson, "Application of artificial neural networks to an electronic olfactory system", Meas. Sci. Technol. 1, 1990, 446-451.
AIRJ6: C. Hampele and E.L. Hines, "A low-cost computer-assisted teaching package for kidney dialysis: A preliminary report", Journal of medical engineering and technology, V14, N4, Jul/Aug, 1990, pp158-61.
AIRJ7: D. Anthony, E.L. Hines, D. Taylor and J. Barham, "An investigation into the use of colour and image processing techniques in nuclear medicine", Med and Biol Eng and Comp, 28, 1990, 489-492.
AIRJ8: J.W. Gardner, E.L. Hines and H.C. Tang, Detection of vapours and odours from a multisensor array using pattern-recognition techniques: Part 2: Artificial neural networks 1991, Sensors & actuators B, Vol 9, No 1, pp9-15.
Times Cited: 70.
AIRJ9: D.M. Anthony, E.L. Hines, D.A. Hutchins and J.T. Mottram, “Ultrasound tomography imaging of defects using neural networks”, Neural Computation, Vol. 4 No. 5, pp. 758-771, 1992.
AIRJ10: S.W. Moore, J.W. Gardner, E.L. Hines, W. Gopel and U. Weimar, “A modified multilayer perceptron model for gas mixture analysis”, Sensors and Actuators B, Vol. 15, No. 16, pp. 344-348, 1993.
AIRJ11: A.B. Larkin, E.L. Hines and S.M. Thomas, “The Euclidean Memory Array - a vector quantisation technique for processing data from interview forms”, Neural Computing and Applications, Vol 2, No. 1, pp. 53-57, 1994.
AIRJ12: E.L. Hines and J.W. Gardner, “An artificial neural emulator for an odour sensor array”, Sensors and Actuators B, Vol. 19, No. 1-3, pp. 661-664, 1994.
AIRJ13: A.H. Khan and E.L. Hines, “Integer weight neural nets”, Electronics Letters, volume 30, number 15, pp. 1237-1238, 1994.
AIRJ14: A.C. Pardoe, D.A. Hutchins, E.L. Hines and J.T. Mottram, “Neural networks applied to ultrasonic tomographic reconstruction”, Neural Computing and Applications, September 1995.
AIRJ15: E.O. Ezugwu, S.J. Arthur and E.L. Hines, “Tool-wear prediction using artificial neural networks”, Journal of Material Processing Technology, Vol. 49, pp. 255-264, 1995.
AIRJ16: S. Singh, E.L. Hines and J.W. Gardner, “Fuzzy neural computing of coffee and tainted water data from an electronic nose”, Sensors & Actuators B, 30, pp.185-190, (1996). (JR)
Times Cited: 35.
AIRJ17: J.W. Gardner, E.L. Hines and C. Pang, “Detection of vapours and odours from a multisensor array using pattern recognition: self-organising adaptive resonance techniques”, Measurement & Control, 29, pp.172-178, (1996). (JR)
AIRJ18: D. Anderson, E.L. Hines, S.J. Arthur and E.L. Eiap, “Application of artificial neural networks to the prediction of minor axis steel connections”, Computers and Structures, 63, No.4, pp.685-692, (1997). (JR)
AIRJ19: A.C. Pardoe, D.A. Hutchins, E.L. Hines and J.T. Mottram, “Neural networks applied to ultrasonic tomographic image reconstruction”, J. Neural Computing and Applications, 5, pp.106-123, (1997). (JR)
AIRJ20: E.L. Hines, J.W. Gardner and C.E.R. Potter, “Olfactory feature maps from an electronic nose”, Measurement & Control, 30, No.9, pp.262-268, (1997). (JR)
AIRJ21: J.W. Gardner, M. Craven, C. Dow and E.L. Hines, “The prediction of bacteria type and culture growth phase by an electronic nose with a multi-layer perceptron network”, Measurement Science and Technology 9, pp.120-127, (1998). (JR)
Times Cited: 43.
AIRJ22: A. Nutman, Y. Solomon, S. Mendel, J. Nutman, E.L. Hines, M. Topilsky and S. Kivity, “The use of a neural network for studying the relationship between air pollution and asthma-related emergency room visits”, Journal of Respiratory Medicine, 92, pp.1199-1202, (1998). (JR)
AIRJ23: J.W. Gardner, E.L. Hines, P.N. Bartlett, F. Molinier, T.T. Mottram, “Prediction of the health of dairy cattle from breath samples using a neural network with parametric model of the dynamic response of an array of semiconducting gas sensors”, IEE Proc. Science, Measurement & Technology, 146, No.2, pp.102-106, (1999). (JR)
AIRJ24: E. Llobet, E.L. Hines, J.W. Gardner and S. Franco, “Non-destructive banana ripeness determination using a neural network-based electronic nose”, Measurement Science and Technology, 10, No.6, pp.538-548, (1999). (JR)
Times Cited: 14.
AIRJ25: D.A. Hutchins, A.C. Pardoe, D.R. Billson and E.L. Hines, “Neural network correction of ultrasonic C-scan images”, Ultrasonics, 37, No.4, pp.263-272, (1999). (JR)
AIRJ26: E.L. Hines, E. Llobet and J.W. Gardner, “Neural network based electronic nose for apple ripeness determination”, IEE Electronics Letters, 35, No.10, pp.821-823, May (1999). (JR)
AIRJ27: J.W. Gardner, E. Llobet and E.L. Hines, “PSPICE model for resistive gas and odour sensors”, IEE Proc. Circuits, Devices and Systems, 146, No.3, pp.101-104, June, (1999). (JR)
AIRJ28: E.L. Hines, J.W. Gardner and E. Llobet, “Electronic noses: A review of signal processing techniques”, IEE Proc. Circuits, Devices and Systems, vol 146, no 6, Dec, pp297-310, (1999) (JR)
Times Cited: 15.
AIRJ29: E. Llobet, E.L. Hines, J.W. Gardner, P.N. Bartlett and T.T. Mottram, “Fuzzy ARTMAP based electronic nose data analysis”, Sensors and Actuators B, 61, pp183-190, (1999). (JR)
AIRJ30: I. Modai, A. Valevski, A. Solomish, R. Kurs, E.L. Hines, M. Ritsner, and S Mendel, “Neural network detection of files of suicidal patients and suicidal profiles”, Medical Informatics Internet Med, Oct-Dec; 24(4), 249-56, 1999 (JR)
AIRJ31: H.W. Shin, E. Llobet, J.W. Gardner, E.L. Hines and C.S. Dow, “Classification of the strain and growth phase of cyanobacteria in potable water using an electronic nose system”, IEE, Science, Measurement Technology, vol 147, no 4, Jul, pp158-164 (JR) (2000).
AIRJ32: H.W. Shin, J.W. Gardner and E.L. Hines, “An electronic nose system to diagnose illness”, Sensors & Actuators B, 70, pp.19-24, (2000).
AIRJ33: H.W. Shin, J.W. Gardner, E.L. Hines and C.S. Dow, “An electronic nose system for monitoring the quality of potable water”, Sensors & Actuators B, 69, pp.336-341, (2000).
AIRJ34: E.L. Hines, B. Smith, O.J. Downing, C. Thomas, R.J. Green, D. Morley, D. Downes, P.R.C. Stevens, P. Blackmore and C Alder, “FDTL phase3 project ‘Project Squared’: Learning through electronics projects and best practice”, British Journal of Engineering Education, 1, No.2, pp.43-50, December (2000).
AIRJ35: E. Llobet, J. Rubio, X. Vilanova, J. Brezmes, X. Correig, J.W. Gardner and E.L. Hines, “Electronic nose simulation tool centred on PSPICE”, Sensors and Actuators, July, (2000). Sensors & Actuators B, 76, pp.419-429, (2001). (P)
AIRJ36: E.L. Hines, J. Wallbank, T.E. Cross and M. Woolfson, “Learning in partnership”, Manufacturing Engineer, 80, No.2, pp.80-84, April, (2001).
AIRJ37: P. Boilot, E.L. Hines, J.W. Gardner, R. Pitt, S. John, J. Mitchell and D.W. Morgan, “Classification of bacteria responsible for ENT and eye infections using the Cyranose system”, IEEE Sensors Journal, 2, No.3, pp.247-253, June (2002).
AIRJ38: R.S. Folland, E.L. Hines, P. Boilot and D. Morgan, “Classifying coronary dysfunction using neural networks through cardiovascular auscultation”, Medical & Biological Engineering & Computing (MBEC), 40, No.3, pp.339-343, ISSN 0140-0118, May (2002).
AIRJ39: R. Dutta, E.L. Hines, J.W. Gardner and P. Boilot, “Bacteria classification using Cyranose 320 electronic nose”, Biomedical Engineering Online Journal, October, 1(1):4. The electronic version of this article is the complete one and can be found online at: http://www.biomedical-engineering-online.com/content/1/1/4. Print & Online: ISSN 1475-925X, (2002).
AIRJ40: M. Paniagua, E. Llobet, J. Brezmes, X. Vilanova, X. Correig and E.L. Hines, “On-line drift counteraction for metal oxide gas sensor arrays”, IEE Electronics Letters, 39, No.1, pp.40-42, 9th January, (2003).
AIRJ41: P. Boilot, E.L. Hines, M.A. Gongora and R.S. Folland, “Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions”, Sensors & Acutators B, 88, No.1, pp.80-88, January (2003)
AIRJ42: R. Dutta, E.L. Hines, J.W. Gardner, D.D. Udrea and P. Boilot, “Non-destructive egg freshness determination: an electronic nose based approach”, Measurement Science and Technology, 14, No.2 pp.190-198, (2003).
AIRJ43: P. Barreiro, P. Boilot, E. Correa, C. DiNatale, P. Grenier, A. Mantini, E. Molto, T. Gutierrez, P. Mielle, O. Raatikainen, M. Ruiz-Altisent, S. Saevels and E.L. Hines, “An attempt to compare different technologies of electronic noses in the case of detection of mealiness and damage in apples”, Submitted 2003, At press
AIRJ44: R. Dutta, E.L. Hines, J.W. Gardner, K.R. Kashwan and M. Bhuyan, “Tea quality prediction using a tin oxide based electronic nose: An artificial intelligence approach”, Sensors and Actuators B: Chemical, 94, pp228-237 (2003)
AIRJ45: A. Das, N.G. Stocks and E.L. Hines, “Different measures to quantify stochastic resonance in aperiodic broadband signals”, (at press).
AIRJ46: R. Dutta, E.L. Hines, J.W. Gardner, K.R. Kashwan and M. Bhuyan, “Electronic nose based tea quality standardization”, Elsevier Science Journal of Neural Networks, 16, pp847-853, (2003)
AIRJ47: R. Dutta, A. Das, N.G. Stocks, E.L. Hines and J.W. Gardner, “Enhancement of the performance of Cyranose 320 for bacteria classification by applying stochastic resonance based approach: A novel way to classify bacteria”, IEEE Transaction on Instrumentation and Measurement. Accepted for publication 2004, to be published in 2005.
AIRJ48: R. Dutta, E.L. Hines, P. Boilot, J.W. Gardner, D. Rayner, A. Tarlis, P.G. Tucker and M.A. Gongora, “Odour detection/monitoring and movement prediction using an automated electronic nose: an artificial intelligent approach for man and cybernetics”, IEEE Sys Man Cybernetics. At press 2004
AIRJ49: A. Das, R. Dutta, N.G. Stocks, E.L. Hines, J.W. Gardner and P. Boilot, “Stochastic resonance based electronic nose: a better way of bacteria classification”, Dekker.com: Stochastic Analysis and its Applications, submitted 2004
AIRJ50: R. Folland, E.L. Hines, R. Dutta, P. Boilot and D.W. Morgan, “Comparison of neural network predictors in the classification of tracheal-bronchial breath sounds by respiratory auscultation”, Journal of Artificial Intelligence in Medicine, (2004) 31, pp211-220.
AIRJ51: R. Dutta, E.L. Hines, D. Morgan and J.W. Gardner, “ENT bacteria classification using non-conducting polymer based electronic nose”, Accepted IEEE SENSOR 2004 conference, 2004
AIRJ52: R. Dutta, A. Das, N.G. Stocks and E.L. Hines, “ENT bacteria classification using moment based classifier”. Being submitted
AIRJ53: R. Dutta, J.W. Gardner and E.L. Hines, Electronic Noses Diagnose Illness: Classification of Ear, Nose, and Throat Bacteria Using a Neural-Network-Based Electronic Nose. Accepted, to appear in, MRS (Material Research Society) Bulletin Oct 2004
AIRJ54: L. Sun, E.L. Hines, C. Mias and R. J. Green, Quarter-Wave Phase-Compensating Multi-Dielectric lens Design With Genetic Algorithm. Accepted (Sep 2004) – to appear in Microwave and Optical Technology Letters, January 20, 2005
AIRJ55: H. Yang, E.L. Hines and C. Mias, The Design of frequency selective surfaces using Evolving Fuzzy Neural Networks. Submitted to Electronics Letters, Sep 2004.
AIRJ56: R. Dutta, J.W. Gardner and E.L. Hines, Electronic Noses Diagnose Illness: Object oriented expert electronic nose system, “Encyclopedia of Sensors 2004-2005”, American Scientific Publishers. Accepted, to appear in 2005
AIRJ57: R. Dutta, D Morgan, N Baker, J.W. Gardner and E.L. Hines, Identification of Staphylococcus aureus infections (MRSA, MSSA and C-NS) in hospital environments: Electronic Nose based approach, Submitted to Elsevier Science Journal: Sensors and Actuators B: Chemical July 2004.
AIRJ58: M.E. Shykhon, D.W. Morgan, R. Dutta, and E.L. Hines, Clinical evaluation of the value of Electronic Noses in the diagnosis of Ear, Nose and Throat infection – a preliminary study. Accepted Mar 2004, to appear in The Journal of Laryngology and Ontology, 2004.
AIRJ59: Aruneema Das, N.G. Stocks, A. Nikitin and E.L. Hines, Quantifying stochastic resonance in a single threshold detector for random aperiodic signals, Fluctuation and Noise Letters, Vol 4, No 2, June 2004, pp247-265
AIRJ60: J. W. Gardner, P. Boilot, E. L. Hines, Enhancing electronic nose performance by sensor selection using a new integer-based genetic algorithm approach, Sensors and Actuators B, July 2004.
AIRJ61: K. Wang, E.L. Hines and C. Mias, Integrated Channel Allocation, Handoff and Call-dropping Algorithm
Using Genetic algorithms and Fuzzy Logic. Submitted to Electronics Letters, Oct 2004.
AIRJ62: J. W Gardner, C. Dowson and E. L. Hines, Smelling illness, Submitted to: Insignia - Royal Academy of Engineering journal. 12 Nov 2004
(b) Contributions to edited books (CTEB)
CTEB1: D.M. Anthony, E.L. Hines, D.A. Hutchins and J.T. Mottram, “Simulated ultrasound tomographic imaging of defects”, The Proceedings of a Neural Networks Workshop, Springer Verlag, edited by Prof J.G. Taylor, ISBN 0387197729, pp. 41-57, 1992.
CTEB2: E.L. Hines, J.W. Gardner, A.A. Fekadu and W.W. Fung, “Improved rate of convergence in a MLP based electronic nose”, in "Neural computing: Research and applications", G. Orchard (Ed.), Institute of Physics Publishing, ISBN 0-7503-0259-3, pp. 267-71, 1993.
CTEB3: E.L. Hines, C. Gianna and J.W. Gardner, “Neural network based electronic nose using constructive algorithms”, in "Neural networks: Techniques and Applications", Lisboa & Taylor (Eds), Ellis Horwood, ISBN 0130621838, pp. 135-54, 1993.
CTEB4: A.B. Larkin, E.L. Hines, S. M. Thomas and J.W. Gardner, “Supervised learning using the Vector Memory Array method”, in "workshop on neural network applications and tools", Ed. P.J.G. Lisboa & M.J. Taylor, IEEE press, ISBN 0818658452, pp. 6-10, 1994.
CTEB5: J.W. Gardner and E.L. Hines, “Pattern analysis techniques”, in CRC Handbook of Biosensors and Electronic Noses: Medicine, Food and the Environment (Eds E. Kress-Rogers), CRC Press Inc, Ch.27, pp.633-52, (1996). (C)
CTEB6: P. Boilot, E.L. Hines, and J.W. Gardner, “Knowledge extraction from electronic nose datasets using hybrid neuro-fuzzy systems”, Sensors Update, Wiley-VCH Verlag GmbH, (2000). (Accepted) (P)
CTEB7: P. Boilot , E.L. Hines and J.W. Gardner, 'Knowledge extraction from electronic nose data-sets using hybrid neuro-fuzzy systems', in Sensors Update, 8, (H. Baltes, W. G?pel, J. Hesse, Series Eds.), Wiley-VCH Verlag GmbH, Weinheim, Germany, pp.73-94, ISBN 3-527-30258-1. (2000). (C)
CTEB8: P. Boilot, E.L. Hines, S. John, J. Mitchell, F. Lopez, J.W. Gardner, E. Llobet, M. Hero, C. Fink and M.A. Gongora, 'Detection of bacteria causing eye infections using a neural network based electronic nose system', in Electronic Noses and Olfaction 2000, (Eds. J.W. Gardner and K.C. Persaud), IOP Publishing Ltd, Bristol, pp.189-196, ISBN 0 7503 0764 1, (2000). (C)
CTEB9: E.L. Hines, P. Boilot, J.W. Gardner, M.A. Gongora and E. Llobet, 'Pattern Analysis for Electronic Noses', Chapter 6 in Handbook of Machine Olfaction, (Eds. T.C. Pearce, S.S. Schiffman, H.T. Nagle and J.W. Gardner), Wiley-VCH, GmbH, Weinheim, Germany, pp.133-160, ISBN 3-527-30358-8, (2003). (C)
CTEB10: Ritaban Dutta, Julian W. Gardner and Evor L. Hines, ENCYCLOPEDIA OF SENSORS article: OBJECT ORIENTED EXPERT ELECTRONIC NOSE SYSTEM, (Accepted for inclusion in ENCYCLOPEDIA OF SENSORS 2004-2005, American Scientific Publishers) in 2004; to be published May 2005.
(c) Published Conference Papers ((PR) = fully refereed; (P) = non-refereed) (PCP)
PCP1: E.L. Hines, and P.A. Watson, "Application of edge detection techniques to the detection of the bright band in radar data", URSI/IEE, Bournemouth, UK, 23-27 August, 1982.
PCP2: E.L. Hines, M.J. Leitao, and P.A.Watson, "The use of dual linearly polarised radar data to determine rainstorm and hydrometeor types", IEE, University of York, UK, 11-15 April, 1983.
PCP3: E.L. Hines, I. Sexton, N. Storey, and J.F. Craine, 1985, "Initial Investigations into 3-D Display Techniques", MIMI'85, Spain, pp321-24, June 25-28.
PCP4: I. Sexton, E.L. Hines, N. Storey, and J.F. Craine, 1985, "Psychological Considerations on 3-D Displays", MIMI'85, pp316-20, Spain, June 25-28.
PCP5: T.C. Goodhead, E.L. Hines, and C.N. Nwufoh, and M. Stevens, "AGV control using an intelligent environment approach", Proc. 6th int. conf. on automated guided vehicle systems, Belgium, 25-26 October, 1988, pp241-251.
PCP6: T.C. Goodhead, C.N. Nwufoh, E.L. Hines, and M. Stevens, "Development of an omnidirectional mobile robot", Second workshop on manipulators sensors and steps towards mobility, Salford, UK, 23-26 October, 1988, pp6.1-6.11.
PCP7: J.W. Gardner and E.L. Hines, "Integrated sensor array processing in an electronic nose", IEE Colloquium number 1988/130, London, UK, December, 1988, pp7/1-7/4.
PCP8: C.N. Nwufoh, T.C. Goodhead, E.L. Hines, and M. Stevens, "Integrating AGV and machine monitoring and control in FMS through an intelligent environment approach", Sunderland Advanced Manufacturing Technology Conference, Sunderland, UK, 22-25 March, 1989.
PCP9: E.L. Hines and R. Hutchinson, "Application of multi-layer perceptrons to facial feature location", IEE Conference on Image Processing, University of Warwick, UK, July, 1989, 39-43.
PCP10: D.M. Anthony, E.L. Hines, D. Taylor, and J. Barham, "An investigation into the use of neural networks for an expert system in nuclear medicine image analysis", IEE Conference on Image Processing, University of Warwick, UK, July, 1989, 338-342.
PCP11: A.J. Redfern, and E.L. Hines, "Medical image data compression techniques", IEE Conference on Image Processing, University of Warwick, UK, July, 1989, 558-562.
PCP12: T.C. Goodhead, E.L. Hines, and M. Stevens, "An intelligent environment approach to domestic robot control", to be presented at the second workshop on medical and healthcare robotics, Newcastle Upon Tyne, 5-7 September, 1989.
PCP13: D.M. Anthony, E.L. Hines, D. Taylor, and J. Barham, "A study of data compression using neural networks and other techniques", Bio Med applications of digital signal processing, Savoy Place, IEE colloquium, No. 1989/144, 30 November 1989, 2/1-2/4.
PCP14: S. Tran, W.J. Cullyer, E.L. Hines and C. Marks, "On the development of a high quality software methodology for automotive applications", IEE colloquium, no. 1990/031, London, 13 February, 1990, 6/1-6/5.
PCP15: W.C. Chiu, E.L. Hines, Hunt, C. Forno and Oldfield, "Photogrammetric target processing using artificial neural networks", IASTED, Austria, 19-21 February, 1990, 276-279.
PCP16: T. Tjahjadi, E.L. Hines, D.K. Bowen and Pye, "An expert system for X-Ray topographic
image interpretation on neural architecture", IASTED, Austria, 19-21 February, 1990, 178-181.
PCP17: D.M. Anthony, E.L. Hines, J. Barham and D. Taylor, "The use of neural networks in classifying lung scintigrams", IASTED, Austria, 19-21 February, 1990, 240-242.
PCP18: D.M. Anthony, E.L. Hines, J. Barham and D. Taylor, The use of artificial neural networks in the diagnosis of lung scintigrams, Royal society of medicine forum on computers in medicine, Chester, 11-12 April, 1990.
PCP19: W.C. Chiu, E.L. Hines and T. Redpath, A PC based interactive colour display system for magnetic resonance imaging, Royal society of medicine forum on computers in medicine, Chester, 11-12 April, 1990.
PCP20: S. Tran, W.J. Cullyer, E.L. Hines and C. Marks, "Electronic throttle design using formal techniques", 22nd ISATA (Int. Symp. on Auto. Tech Autom.), Florence, 14-18 May, 1990.
PCP21: W.C. Chiu, D.M Anthony, E.L. Hines, Hunt, Forno and Oldfield, "Selection of the optimal MLP net for Photogrammetric target processing ", IASTED, Zurich, June, 1990.
PCP22: D.M. Anthony, E.L. Hines, J. Barham and D. Taylor, The use of genetic algorithms to learn the most appropriate inputs to a neural networks, IASTED, Zurich, June, 1990.
PCP23: D.M. Anthony, E.L. Hines, J. Barham and D. Taylor, The use of neural networks in classifying lung scintigrams, Int. neural network conf., Paris, 9-13 July, 1990, 71-74.
PCP24: W.C. Chiu, E.L. Hines, Hunt, C. Forno and Oldfield, "Artificial neural networks for photogrammetric target processing", ISPRS Sym., Zurich, 3-7 September, 1990.
PCP25: D.M. Anthony, E.L. Hines, D. Taylor and J. Barham, A comparison of image compression by neural networks and principal component analysis, Int. Joint conf on neural networks, Washington D C, Dec, 339-344, 1990.
PCP26: J.W. Gardner and E.L. Hines, Detection of vapours and odours by artificial neural networks, Proc 6th Int. Conf. Solid State Sensors and Actuators, San Francisco, IEEE press, June 1991.
PCP27: P. Bryanston-Cross, D. Adonov and E.L. Hines, Extraction of quantitative information from images, Proc 15th Info Techn Conf, Sarajevo, 1991, pp208/1-208/8.
PCP28: F. Ali, E.L. Hines and B. Honary, Artificial Neural Networks for multiple access channels, Int Sym on Comm. Theory and Appl., Edinburgh, Sep 9-13, 1991.
PCP29: D.M. Anthony, E.L. Hines, D.A. Hutchins, and J.T. Mottram, Ultrasound tomography imaging of defects using neural networks, Neural computing workshop, Kings College, London, 1st Oct 1991.
PCP30: W Chiu and E.L. Hines, Rule based dynamic multilayer perceptron, 2nd IEE int conf on Neural networks, Bournemouth, November 1991.
PCP31: E.L. Hines, J.G. Gardner and R. Stansfield, “A standalone neural network based electronic nose”, IEE Colloquium on "Digital signal processing in instrumentation", Digest No. 1992/009, Tuesday 14th Jan, pp. 10/1-4, 1992.
PCP32: E.L. Hines, “Neural networks in mass spectrometry”, Workshop on Interfacing Mass Spectrometers, Scarmen house, University of Warwick, 12-14 Feb, 1992.
PCP33: J.D. Mason, E.L. Hines and J.M. Lord, “2-D gel analysis using artificial neural networks”, IEE Colloquium on Medical Imaging: Transduction and Parallel Processing”, Digest No. 1992/050, 2-3 March, pp. 2/1-2/3, 1992.
PCP34: S.J. Sheppard, E.L. Hines, D. Taylor and J. Barham, “Diagnosis of single photon emission tomography images using artificial neural networks”, IEE Colloquium on Medical Imaging: Transduction and Parallel Processing, Digest No. 1992/050, pp. 3/1-3/3, 2-3 March, 1992.
PCP35: S J Sheppard, E.L. Hines, D. Taylor and J. Barham, “The use of artificial neural networks in the diagnosis of single photon emission tomography images of the human brain”, Inst Phys Med meeting on "Application of neural networks in medicine", Royal Marsden Hospital, London, 9th April, 1992.
PCP36: E.L. Hines, J.W. Gardner, A.A. Fekadu and W.W. Fung, “Improved rate of convergence in a neural network based electronic nose”, 2nd Irish Neural Networks Conference, Belfast, 25-26 June, 1992.
PCP37: S.C. Tran, E.L. Hines and W.J. Cullyer, “Applications of formal methods in the transformer industry”, Transfer Technology and Implementation Conference, London, pp. 212-217, July, 1992.
PCP38: E.L. Hines, J.W. Gardner and C.E.R. Potter, “Kohonen network based electronic nose”, 2nd Romanian int Congress on Clinical Engineering and Medical Computing, Bucharest, Romania, 23-25 August, 1992.
PCP39: B.L. Teo, E.L. Hines, L. Stokes and A. Molloy, “Waste water plant performance prediction using artificial neural networks”, Workshop on Neural Networks, University of Liverpool, 7-8 September 1992.
PCP40: P.H. Chan, E.L. Hines, L. Stokes and A. Molloy, “Location of water oocysts using neural networks”, Workshop on Neural Networks, University of Liverpool, 7-8 September, 1992.
PCP41: E.L. Hines, C. Gianna and J.W. Gardner, “Neural network based electronic nose using constructive algorithms”, Workshop on Neural Networks, University of Liverpool, 7-8 September, 1992.
PCP42: J.T. Mottram, D.A. Hutchins, E.L. Hines, P. Corcoran and D.M. Anthony, “Detection of defects in fibre reinforced composites using artificial neural networks”, Polymer Engineering Conference,University of Loughborough, 22-23 September, 1992.
PCP43: S. Moore, J.W. Gardner, E.L. Hines, W. Gopel and U. Weimer, “A modified multilayer perceptron model for gas mixture analysis”, Eurosensors VI, San Sebastian, 5-7 October, 1992.
PCP44: D.A. Hutchins, J.T. Mottram, E.L. Hines, P. Corcoran and D.M. Anthony, “A neural network approach to ultrasonic tomography”, IEEE Ultrasonic Symposium, Tucson Arizona, 20-23 October, 1992.
PCP45: J.D. Mason, S.J. Sheppard and E.L. Hines, “Application of logical neural networks to the analysis of single photon emission tomography images”, IEE colloquium on Neural Nets for Image Processing Applications, 28th October, 1992.
PCP46: I.M. Hunter, T.C. Goodhead and E.L. Hines, “Modelling of mobile robot motion using neural networks”, IEE Colloquium "Advances in neural networks for control and systems", Reading University, 2 April, 1993.
PCP47: J.D. Mason, E.L. Hines and J.W. Gardner, “Analysis of electronic nose data using weightless neural networks and genetic algorithms”, Workshop on Computing with Logical Neurons, York University, 6-7th April, 1993.
PCP48: A,A, Fekadu, E.L. Hines, J,W, Gardner, “Neural tree based electronic nose”, International Conference on Neural Networks and Genetic Algorithms, University of Innsbruck, Austria, 13-16 April, pp. 112-116. (R F Albrecht, C R Reeves and N C Steele (eds), Springer-Verlag, New York), 1993.
PCP49: A.A. Fekadu, E.L. Hines, J.W. Gardner, “Genetic algorithm design of neural net based electronic nose”, International Conference on Neural Networks and Genetic Algorithms, University of Innsbruck, Austria, 13-16 April, pp. 691-698, 1993.
PCP50: J.D. Mason, E.L. Hines and J.W. Gardner, “Analysis of electronic nose data using logical neurons”, International Conference on Neural Networks and Genetic Algorithms, University of Innsbruck, Austria, 13-16 April, pp. 107-111, 1993.
PCP51: S.J. Sheppard, E.L. Hines, D. Taylor and J. Barham, “Application of neural networks to diagnosis from single photon emission tomography images of the human brain”, SPIE Conference on Applications of Artificial Neural Networks IV, April 12-16th, Orlando Florida, 1993.
PCP52: D.A. Hutchins, J.T. Mottram, E.L. Hines, and A. Pardoe, “Use of neural networks for ultrasonic tomographic inspection of polymer composites”, Ultrasonics International '93, Vienna, 6-8th July, 1993.
PCP53: E.L. Hines, D. Anderson, S.J. Arthur and E.L. Eiap, “Application of artificial neural networks to prediction of behaviour of minor axis steel connections”, 3rd Int Conf on the Application of Artificial Intelligence to Civil and Structural Engineering, Edinburgh, 17-19 August, 1993.
PCP54: A.C. Pardoe, E.L. Hines, D.A. Hutchins, and J.T. Mottram, “Applying neural networks to ultrasonic tomographic inspection of polymer composites”, 3rd Irish Neural Nets Conference, Belfast, 1-2 September, 1993.
PCP55: J.W. Gardner and E.L. Hines, “Signal Processing for an Electronic Nose”, USITT Colloquium on Sensor Update: New developments in signal processing, Southampton, 9 September, 1993.
PCP56: A.B. Larkin, E.L. Hines, S.M. Thomas and J.W. Gardner, “Supervised learning using the Vector Memory Array method: A novel artificial neural network”, Workshop on Neural Network Applications, Liverpool, 13-14 September, 1993.
PCP57: E.L. Hines and J.W. Gardner, “Artificial neural emulator for odour sensor array”, Eurosensors VII, Budapest, 27-29 September, 1993.
PCP58: E.O. Ezugwu, S.J. Arthur and E.L. Hines, “Neural networks for tool wear prediction”, IEE Colloquium on Art. Int./Exp. Sys. in machine tool breakdown diagnostics and maintenance, London, 29th September, 1993.
PCP59: E.L. Hines, S.J. Sheppard, D. Taylor, J. Barham and D.M. Anthony, “Neural networks in medical imaging”, Workshop on Computer Aided Diagnosis in Medicine, Inst of Physical Sciences in Medicine, London, 22nd February, 1994.
PCP60: M.A. Craven, E.L. Hines, P. Horgan, J.W. Gardner, D. Morgan and I.A. Ene, “Bacteria detection and classification using artificial neural networks in conjunction with an electronic nose”, Int. Conf. on Neural Networks and Expert Systems in Medicine and Healthcare, Plymouth, August, 1994.
PCP61: M.L. Shuter, E.L. Hines, H. Williams and A. Preece, “Monitoring patient awareness states via neural network interpretation of EEG signals during anesthesia trials”, Int Conf on Neural Networks and Expert Systems in Medicine And Healthcare, Plymouth, August, 1994.
PCP62: M.A. Gongora, E.L. Hines and T.C. Goodhead, “High reliability path generation for automated systems”, Reliability Engineering and its Application (REA) 94 Conf., Honolulu Hawaii, August, 1994.
PCP63: M.A. Craven, E.L. Hines, P. Horgan, J.W. Gardner, D. Morgan and I.A. Ene, “Bacteria detection and classification using artificial neural networks in conjunction with an electronic nose”, 2nd IEE Int Conf: Intelligent Systems Engineering, Hamburg, 5-8 September, 1994.
PCP64: M. Holmberg, F. Winquist, I. Lundstrom, J.W. Gardner and E.L. Hines, “Identification of paper quality using a hybrid electronic nose”, Eurosensors VIII, Toulouse, France, 25-28 September, 1994.
PCP65: H.C. Leung, E.L. Hines, and V.H. Raja, “Application of artificial neural networks in computer aided process planning”, ANNIE'94 (Art Neu Net in Eng), St Louis, 13-16 November, 1994.
PCP66: M.A. Gongora, T.C. Goodhead and E.L. Hines, “The use of wondering intelligence in mission control for mobile robots”, Proc 14th IASTED Conf on Modeling, Identification and Control, Innsbruck, Austria, Feb 20-22, pp331-334, 1995.
PCP67: M.A. Gongora-Florin, T.C. Goodhead, E.L. Hines, M. Forero and D. Ortegon, “Self-Simulator for a mobile robot”, IASTED Int Conf on Modelling and Simulation, Colombo, Sri Lanka, 26-28 July, 1995.
PCP68: H.C. Leung, E.L. Hines and V.H. Raja, “Computer aided process planning in contemporary manufacturing environments”, Proc 11th ISPE/IEE/IFAC Int Conf on CAD/CAM, Robotics & Factories of the Future CARS & FOF 95, Colombia, 28-30 August, 1995.
PCP69: T.C. Goodhead, I.M. Hunter and E.L. Hines, “Learning kinematic and dynamic models of a mobile robot using neural networks”, Proc of 7th Int Manufacturing Conference in China, 19-21 October, pp. 127-32, 1995.
PCP70: T.C. Godhead, M.R.S.P. Barbosa and E.L. Hines, “Traffic management & control of automated guided vehicles using neural networks”, Proc of 7th Int Manufacturing Conference in China, 19-21 October, pp. 119-25, 1995.
PCP71: A.C. Pardoe, D.A. Hutchins, J.T. Mottram and E.L. Hines, “Neural network image reconstruction of composite materials using neural networks", invited paper, IOP Meeting on 'Artificial Intelligence for Materials Processing & Characterisation, Wed 8th November, 1995.
PCP72: A.C. Pardoe, D.A. Hutchins, E.L. Hines and J.T. Mottram, “High resolution ultrasonic image reconstruction in composite materials using neural networks”, Proc. 1995 QNDE Conference, Seattle, USA, pp.853-860, (1996). (P)
PCP73: E.L. Hines, “Electronics Applications of Intelligent Systems Engineering”, IEE Lecture, Warwick University, 7th February, (1996). (P)
PCP74: J.W. Gardner, M.A. Craven and E.L. Hines, “Classification of bacteria age and type using an array of metal oxide sensors & pattern recognition techniques”, 3rd Int Symp on Olfaction & Electronic Noses, USA, 3-6 November, (1996). (P)
PCP75: E.L. Hines, J.W. Gardner, F. Molinier, M.A. Craven and P.N. Bartlett, “Can we mimic human sensory systems?”, Royal College of Anesthetists, Symposium, ‘Monitoring & Measurement in Anesthesia & Intensive Care, London, 7-8 November, (1996). (P)
PCP76: S. Singh, E.L. Hines and J.W. Gardner, “Classifier Systems based on possibility distributions: a comparative study” Proc. 3rd Int. Conf. on Artificial Neural Networks and Genetic Algorithms, Norwich, 2-4 April, Wein:Springer, pp.537-540, (1997). (P)
PCP77: E.L. Hines, J.W. Gardner, F. Molinier, M.A. Cravan and P.N. Bartlett, “Sensor data processing via intelligent systems”, Sensor Technology Opportunities in the Upstream Oil and Gas Industries Workshop, DTI Conference Centre, London, 6 May, (1997). (P)
PCP78: D.H.F. Yip, E.L. Hines, and W.W.H. Yu, “Application of artificial neural networks in sales forecasting”, Proc. Int. Conf. on Neural Networks (ICNN’97), Houston, Texas, USA, 9-12 June, pp.2121-2124, (1997). (P)
PCP79: J.W. Gardner, E Llobet and E.L. Hines, “Pattern recognition techniques in chemical sensing: A review of dynamic modelling”, 9th CIMTEC, Conf on Modern Materials & Technologies, Florence, Italy, 14-19 June, pp.242, (1998). (P)
PCP80: S. Singh, E.L. Hines and J.W. Gardner, Classifier Systems based on possibility distributions: a comparative study, Proc. 3rd Int. Conf. on Artificial Neural Networks and Genetic Algorithms, 1998 Wein, Springer 537-540
PCP81: M.R.S.P. Barbosa, T.C. Goodhead and E.L. Hines, “Routing multiple AGV’s using a neural network based solution”, EUREL (European) sponsored conference: Advanced Robotics System Development Mobile Robotics, Leiria, Portugal, 14-16 Sept., (page nos. not available). (1998). (P)
PCP82: E.L Hines, P.J. Brayanston-Cross, P. Dunkley, A. Friend, V. Moinard, and J. Roussell, “Intelligent systems techniques applied to particle image velocimetry”, presented at the Advanced Measurement in Combustion Seminar, Manchester, 11 January, (1999). (P)
PCP83: P.J.Bryanston-Cross, T.Wilson, P.G. Tucker, Z. Pan, P. Dunkley, D.D. Udrea and E.L. Hines, “Application of fuzzy logic to the automatic processing of particle image velocity images of a flow induced by adjacent spinning cylinders”, SPIE, Optical Technology in Thermal and Combustion Flow, Part of SPIE Int. Symp. on Optical Science, Engineering, and Instrumentation, Denver, CO, 21-23 July, Vol.3783, pp.127-130 (1999). (PR)
PCP84: H.W. Shin, J.W. Gardner, E.L. Hines and C.S. Dow, “Classification of cyanobacteria in water with an electronic nose”, 6th Int. Symp. Olfaction & Electronic Nose 99, T?bingen, Germany, 20-22 September, (1999) pp331-335. (P)
PCP85: E. Llobet, J. Rubio, X. Vilanova, J. Brezmes, X. Correig, J.W. Gardner and E.L. Hines, “Electronic nose simulation tool centred on PSPICE”, 8th International Meeting on Chemical Sensors, Basel, Switzerland, 3-5 July, (2000). (P)
PCP86: P. Boilot, E.L. Hines, S John, J Mitchell, F Lopez, J.W. Gardner, E Llobet, M. Hero, C Fink, and M A Gongora, “Detection of bacteria causing eye infection using an electronic nose system”, Joint International Meeting of ECRO, ISOT & ISOEN 2000, Brighton & Hove, 20-24 July, (2000), pp189-196. (P)
PCP87: R. Folland, R. Dutta, E.L. Hines and D.W. Morgan, “Parallel combinations of intelligent systems in classifying tracheal-bronchial breath sounds using a novel cross-validation technique”, Proceedings of the 1st IASTED International Conference on Biomedical Engineering (Editor: M. H. Hamza), pp.17-22 – BioMED 2003, Saltzburg, Austria, 25-27 June, (2003), pp.17-22, ISBN 0-88986-353-9. (P)
PCP88: J.W. Gardner, P. Boilot and E.L. Hines, “Enhancing e-nose performance by data fusion and sensor selection”, 10th International Symposium on Olfaction and Electronic Nose (ISOEN’03), Riga, Latvia, 25-28 June, pp.84-87, ISBN 9984-18-222-3, (2003). (P)
PCP89: R. Dutta, E.L. Hines, J.W. Gardner, K.R. Kashwan and M. Bhuyan, “Determination of tea quality by using a neural network based electronic nose”, International Joint Conference on Neural Networks, Portland, Oregan, 20-24 July, pp404-409, (2003). (P)
PCP90: D.D. Udrea and E.L. Hines, “The Warwick engineering virtual laboratory (WEVL), 4th Annual LTSN-ICS Conference, NUI, Galway, Ireland, 26-28 August (2003). (P)
PCP91: R. Folland, R. Dutta, A. Das, E.L. Hines, N.G. Stocks and D.W. Morgan, “Detecting motion artifacts in pulse waveforms using a stochastic resonance technique”, Proceedings of the International Congress on Computational Bioengineering (Editors: M. Doblar?, M. Cerrolaza and H. Rodrigues), pp.291-296, September 24, 2003, Zaragoza, Spain, Dep?sito Legal†: Z-2045-2003 (P)
PCP92: R. Folland, Aruneema Das, Ritaban Dutta, E.L. Hines, N.G. Stocks and D. Morgan, “Pulse waveform classification using neural networks with cross-validation techniques: some signal processing considerations”, Proceedings of the 2nd IASTED International Conference on Biomedical Engineering (Editor: B. Tilg), pp. 337-342, February 16, 2004, Innsbruck, Austria, ISBN 0-88986-408-X. (P)
PCP93: R. S. Folland, E.L. Hines, and M.A. Gongora, Evolving Fuzzy Rules: A mixture model approach to medical diagnosis. Accepted (Sep 2004), to be presented at The 5th International Conference on: Recent Advances in Soft Computing (RASC) 2004, Nottingham 16 -18 December 2004
PCP94: R. Folland, M.A. Gongora, E.L. Hines, Evolutionary Fuzzy Mixture Models: Applications In Anaesthesia. Accepted Nov 10 2004 for presentation at the IASTED International Conference on Biomedical Engineering (BioMED 2005), which will be held February 16 to February 18, 2005, at Innsbruck, Austria.
PCP95: R. S. Folland, M.A. Gongora and E.L. Hines, Evolutionary Fuzzy Mixture Models: Applications in anesthesia. Accepted (Sep 2004), to be presented at ‘II International Conference on Computational Bioengineering 2005 (ICCB2005)’, Lisbon, Portugal 14-16 September 2005
Other output, Patents, etc
Publicity: A review of some of my work, on the general subject of “Intelligent systems and enose application to bacteria detection and banana ripeness prediction” was televised on the Einstein Satellite Channel at 22:00 on 1st January 2002.
Publicity: A review of some of my work, on the general subject of “Intelligent systems and enose application to bacteria detection and banana ripeness prediction” was televised on the Einstein Satellite Channel at approximately 20:30 on 17th May 2002.
Publicity: A review of some of my work, on the general subject of “Intelligent systems and enose application to bacteria detection and banana ripeness prediction”, was televised on the Einstein Satellite Channel at about 22.30 June 6th 2002.
Publicity: A review of some of my work, on the general subject of “Intelligent systems and enose application to bacteria detection and banana ripeness prediction”, was televised on the Einstein Satellite Channel at 09:30 Saturday January 4th 2003.