Jim Austin

Jim Austin, Simon J. Hickinbotham, J. Austin, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Short-term prediction of traffic flow using a binary neural network

Rajesh Krishnan, Victoria J. Hodge, Jim Austin, 2014, Neural Computing and Applications.

Three-dimensional face recognition: an eigensurface approach

Jim Austin, Nick Pears, Thomas Heseltine, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Trademark image retrieval using multiple features

Jim Austin, Sujeewa Alwis, 1999 .

Sequential data mining using correlation matrix memory

Jim Austin, Elizabeth Sherly, Aaron Turner, 2010, 2010 International Conference on Networking and Information Technology.

Performance evaluation of a fast chemical structure matching method using distributed neural relaxation

Jim Austin, Aaron Turner, J. Austin, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Searching against distributed data using a Web service architecture

Jim Austin, Andy Pasley, Thomas W. Jackson, 2005, CLADE 2005. Proceedings Challenges of Large Applications in Distributed Environments, 2005..

A Binary Neural Network Framework for Attribute Selection and Prediction

Victoria J. Hodge, Jim Austin, Thomas W. Jackson, 2012, IJCCI.

Mining Large Engineering Data Sets on the Grid Using AURA

Jim Austin, Bojian Liang, 2004, IDEAL.

ADAM Neural Networks for Parallel Vision

Martin Brown, Jim Austin, Stephen Buckle, 1993 .

A metric for pattern-matching applications to traffic management

Thomas Jackson, Victoria J. Hodge, Jim Austin, 2013 .

C-NNAP: a dedicated platform for binary neural networks

Jim Austin, J. V. Kennedy, R. Pack, 1997 .

Searching image databases containing trademarks

Jim Austin, S. Alwis, 1998 .

A Neural Network Approach to Recognition of Structural Aberrations in Chromosomes

Jim Austin, Peter Thompson, Mick Turner, 1992 .

Graph matching by neural relaxation

Jim Austin, Mick Turner, 2005, Neural Computing & Applications.

Combining multiple face recognition systems using Fisher's linear discriminant

Jim Austin, Nick Pears, Thomas Heseltine, 2004, SPIE Defense + Commercial Sensing.

Intelligent decision support for traffic management

Thomas Jackson, Rajesh Krishnan, Victoria J. Hodge, 2010 .

Provenance: Current directions and future challenges for service oriented computing

Nick Taylor, Jie Xu, John McAvoy, 2011, Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE).

A Survey of Outlier Detection Methodologies

Victoria J. Hodge, Jim Austin, J. Austin, 2004, Artificial Intelligence Review.

A NOTE ON TWO APPLICATIONS OF LOGICAL MATCHING STRATEGY

Jim Austin, Elizabeth Sherly, KP SanilShanker, 2011, Appl. Artif. Intell..

A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience

Victoria J. Hodge, Jim Austin, Martyn Fletcher, 2015, Neuroinformatics.

Hierarchical growing cell structures: TreeGCS

Victoria J. Hodge, Jim Austin, J. Austin, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Grid Enabling Data De-Duplication

Jim Austin, Aaron Turner, Sujeewa Alwis, 2006, 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06).

A review of RAM based neural networks

Jim Austin, 1994, Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems.

Relaxation Labelling Using Distributed Neural Networks

Jim Austin, 2009 .

Cellular Associative Symbolic Processing for Pattern Recognition

Jim Austin, Christos Orovas, 1998, MFCS Workshop on Grammar Systems.

Architectures for Uncertain Reasoning

Thomas Jackson, Jim Austin, Alan Wood, 1990 .

Segmentation and Matching in infra-red airborne images using a binary neural network

Jim Austin, Stephen Buckle, 1995 .

Analysing aerial photographs with ADAM

Jim Austin, G. Smith, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes

Jim Austin, Nick Pears, Clement Creusot, 2011, 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission.

DAME: Searching Large Data Sets Within a Grid-Enabled Engineering Application

Jim Austin, Martyn Fletcher, Andy Pasley, 2005, Proceedings of the IEEE.

Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster

Jim Austin, Michael Weeks, Aaron Turner, 2001, ICANN.

Face Recognition: A Comparison of Appearance-Based Approaches

Zezhi Chen, Jim Austin, Nick Pears, 2003, DICTA.

A neural architecture for fast rule matching

Jim Austin, John Kennedy, Ken Lees, 1995, Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project

Jim Austin, Martyn Fletcher, Thomas W. Jackson, 2008, Neural Networks.

CARMEN: Code analysis, Repository and Modeling for e-Neuroscience

Paul Watson, Jim Austin, Martyn Fletcher, 2011, ICCS.

Learning criteria for training neural network classifiers

Jim Austin, Ping Zhou, 2005, Neural Computing & Applications.

A Framework for Improving Trust in Dynamic Service-Oriented Systems

Nick Taylor, Jie Xu, John McAvoy, 2012, 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops.

AICP: AURA Intelligent Co-processor for Binary Neural Networks

Jim Austin, Michael J. Freeman, Michael Weeks, 2004 .

C-NNAP: A DEDICATED PROCESSOR FOR BINARY NEURAL NETWORKS

Jim Austin, J. V. Kennedy, R. Pack, 1998 .

Grid Network Requirements and Driver Applications

Robert L. Grossman, Thomas Jackson, Jim Austin, 2006 .

A Rule Chaining Architecture Using a Correlation Matrix Memory

Jim Austin, Simon O'Keefe, Stephen Hobson, 2012, ICANN.

A comparison of a novel neural spell checker and standard spell checking algorithms

Victoria J. Hodge, Jim Austin, J. Austin, 2002, Pattern Recognit..

Distributed associative memory for use in scene analysis

Jim Austin, T. John Stonham, 1987, Image Vis. Comput..

Novelty detection for strain-gauge degradation using maximally correlated components

Jim Austin, Garry Hollier, J. Austin, 2002, ESANN.

Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes

Jim Austin, Stephen Hobson, 2009, ICANN.

Searching against distributed data using a Web service architecture

Thomas Jackson, Jim Austin, Mark Jessop, 2005 .

Background Subtraction in Video Using Recursive Mixture Models, Spatio-Temporal Filtering and Shadow Removal

Zezhi Chen, Jim Austin, Nick Pears, 2009, ISVC.

A Binary Correlation Matrix Memory k-NN Classifier with Hardware Implementation

Jim Austin, Ping Zhou, John Kennedy, 1998, BMVC.

Predictive Maintenance

Thomas Jackson, Jim Austin, Martyn Fletcher, 2004, The Grid 2, 2nd Edition.

Risk Assessment and Trust in Services Computing: Applications and Experience

Jie Xu, John McAvoy, Jim Austin, 2013, 2013 IEEE International Conference on Services Computing.

Improved AURA k-Nearest Neighbour Approach

Victoria J. Hodge, Jim Austin, Simon O'Keefe, 2009, IWANN.

Building information systems based on neural networks

Jim Austin, Rhee Man Kil, Soo-Young Lee, 2000, Neurocomputing.

High Speed Image Segmentation Using a Binary Neural Network

Jim Austin, 1997 .

A Comparison of Standard Spell Checking Algorithms and a Novel Binary Neural Approach

Victoria J. Hodge, Jim Austin, J. Austin, 2003, IEEE Trans. Knowl. Data Eng..

A computationally efficient method for online identification of traffic incidents and network equipment failures

Rajesh Krishnan, Victoria J. Hodge, Jim Austin, 2010 .

Reports on the AAAI 1999 Workshop Program

David W. Aha, Alex Alves Freitas, Miquel Sànchez-Marrè, 2000, AI Mag..

A grid based diagnostics and prognosis system for rolls royce aero engines: the DAME project

Jim Austin, 2004, Proceedings of the Second International Workshop on Challenges of Large Applications in Distributed Environments, 2004. CLADE 2004..

Investigating Invariant Pattern Recognition Using a Flexible Development Environment

Jim Austin, B. Nigel Brooke, 1989, Alvey Vision Conference.

Segmenting modulated line textures with S-Gabor filters

Edwin R. Hancock, Jim Austin, Simon J. Hickinbotham, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Virtual Adaptive Learning Architecture (VALA)

Jim Austin, Amy Metcalfe, Marcy Snitzer, 2001, Proceedings IEEE International Conference on Advanced Learning Technologies.

Connectionist Propositional Logic

Jim Austin, Daniel Kustrin, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

A Novel Architecture for Trademark Image Retrieval Systems

Jim Austin, Sujeewa Alwis, J. Austin, 1998 .

Data mining and visualisation in neuroscience applications - The CARMEN project and the signal data explorer toolset

Thomas Jackson, Jim Austin, Simon Davidson, 2009 .

Matching performance of binary correlation matrix memories

Jim Austin, Mick Turner, J. Austin, 1997, Neural Networks.

An evaluation of standard retrieval algorithms and a binary neural approach

Victoria J. Hodge, Jim Austin, 2001, Neural Networks.

PRESENCE, a hardware implementation of binary neural networks

Jim Austin, John Kennedy, 1998 .

Incorporating Scale Invariance into the Cellular Associative Neural Network

Jim Austin, Simon O'Keefe, Nathan Burles, 2014, ICANN.

Miniature Untethered EEG Recorder Improves Advanced Neuroscience Methodologies

Jim Austin, Christopher Crispin-Bailey, Anthony Moulds, 2019, IEEE Transactions on Biomedical Circuits and Systems.

Inducing a perceptual relevance shape classifier

Victoria J. Hodge, Jim Austin, John P. Eakins, 2007, CIVR '07.

Fault Tolerant Multi-Layer Perceptron Networks

Jim Austin, Gary Morgan, George Bolt, 1992 .

Layout indexing of trademark images

M. Fatih Demirci, Remco C. Veltkamp, Victoria J. Hodge, 2007, CIVR '07.

Short-Term Traffic Prediction Using a Binary Neural Network.

Thomas Jackson, Rajesh Krishnan, Victoria J. Hodge, 2011 .

On the identification of sleep stages in mouse electroencephalography time-series

Jim Austin, Thomas Lampert, Bettina Platt, 2015, Journal of Neuroscience Methods.

Novelty detection in airframe strain data

Jim Austin, Simon J. Hickinbotham, J. Austin, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Eliciting Perceptual Ground Truth for Image Segmentation

Victoria J. Hodge, Jim Austin, John P. Eakins, 2006, CIVR.

Chromosome location and feature extraction using neural networks

Jim Austin, Mick Turner, Nigel M. Allinson, 1993, Image Vis. Comput..

An Algorithm for alignment-free sequence comparison using Logical Match

Jim Austin, Elizabeth Sherly, KP SanilShanker, 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

A Neural Network Architecture for Trademark Image Retrieval

Jim Austin, Sujeewa Alwis, J. Austin, 1999, IWANN.

A performance analysis of toroidal mesh networks

Jim Austin, Geoffrey M. Macharia, 1990 .

Cellular associative neural networks for image interpretation

Jim Austin, C. Orovas, 1997 .

Jim Austin, Stefan Klinger, J. Austin, 2005, ESANN.

Personalised Provenance Reasoning Models and Risk Assessment in Business Systems: A Case Study

Nick Taylor, Jie Xu, John McAvoy, 2013, 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering.

Parallel Distributed Computation

Jim Austin, 1992 .

Developing hardware-based applications using PRESENCE-2

Jim Austin, Michael J. Freeman, Michael Weeks, 2005 .

AURA-Alert: The use of Binary Associative Memories for Condition Monitoring Applications

Thomas Jackson, Victoria J. Hodge, Jim Austin, 2010 .

ADAM: an associative neural architecture for invariant pattern classification

Jim Austin, 1989 .

A hardware implementation of a binary neural image processor

Jim Austin, J. V. Kennedy, B. Cass, 1995 .

Performance Analysis of a 3D Wireless Massively Parallel Computer

Jim Austin, Chris Bailey, Amir Mansoor Kamali Sarvestani, 2018, J. Sens. Actuator Networks.

Neurocomputation in Remote Sensing Data Analysis

Fabio Roli, Jim Austin, Ioannis Kanellopoulos, 1997, Springer Berlin Heidelberg.

Neural network approach to improving fault location in local telephone networks

Jim Austin, Ping Zhou, 1999 .

Evaluation of image preprocessing techniques for eigenface-based face recognition

Jim Austin, Nick Pears, Thomas Heseltine, 2002, Other Conferences.

A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory

Jim Austin, Ping Zhou, John Kennedy, 1998, NIPS.

The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing Data

Fabio Roli, Jim Austin, Gianni Vernazza, 1997, ICIAP.

Chemical structure matching using correlation matrix memories

Jim Austin, Mick Turner, K. Lees, 1999 .

Hierarchical word clustering - automatic thesaurus generation

Victoria J. Hodge, Jim Austin, 2002, Neurocomputing.

The cellular neural network associative processor, C-NNAP

Jim Austin, 1995 .

A HADOOP-Based Framework for Parallel and Distributed Feature Selection

Thomas Jackson, Victoria J. Hodge, Jim Austin, 2013 .

Efficient Implementation of Massive Neural Networks

Thomas Jackson, Jim Austin, Alan Wood, 1991 .

A 65-nm CMOS Lossless Bio-Signal Compression Circuit With 250 FemtoJoule Performance Per Bit

Jim Austin, Christopher Crispin-Bailey, Chenglaing Dai, 2019, IEEE Transactions on Biomedical Circuits and Systems.

Evaluating 3D wireless grids as parallel platforms

Jim Austin, Chris Bailey, Amir Mansoor Kamali, 2015, Int. J. Ad Hoc Ubiquitous Comput..

Three-Dimensional Face Recognition Using Surface Space Combinations

Jim Austin, Nick Pears, Thomas Heseltine, 2004, BMVC.

A high performance k-NN approach using binary neural networks

Victoria J. Hodge, Jim Austin, Ken Lees, 2004, Neural Networks.

Application of an Associative Memory to the Analysis of Document Fax Images

Jim Austin, Simon O'Keefe, J. Austin, 1994, BMVC.

Grey Scale N-Tulpe Processing

Jim Austin, 1988, Pattern Recognition.

A binary neural decision table classifier

Victoria J. Hodge, Jim Austin, Simon O'Keefe, 2006, Neurocomputing.

Modeling of Dual-Route Fear Conditioning Paradigm in the Auditory Cortex

Jim Austin, Gary Green, Biswa Sengupta, 2005, IICAI.

3D landmark model discovery from a registered set of organic shapes

Jim Austin, Nick Pears, Clement Creusot, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

A Gaussian mixture model and support vector machine approach to vehicle type and colour classification

Zezhi Chen, Jim Austin, Michael J. Freeman, 2014 .

3D face landmark labelling

Jim Austin, Nick Pears, Clement Creusot, 2010, 3DOR '10.

Linear Quadtrees for Neural Network Based Position Invariant Pattern Recognition

Jim Austin, E. C. Mertzanis, Emmanouel C. Mertzanis, 1992 .

Distributed associative memories for high-speed symbolic reasoning

Jim Austin, J. Austin, 1996, Fuzzy Sets Syst..

Improving the Associative Rule Chaining Architecture

Jim Austin, Simon O'Keefe, Nathan Burles, 2013, ICANN.

A Cellular Neural Associative Array for Symbolic Vision

Jim Austin, Christos Orovas, 1998, Hybrid Neural Systems.

Interactive graphics on large datasets drives remote condition monitoring on a cloud

John McAvoy, Jim Austin, Simon J. Hickinbotham, 2012 .

A hardware implementation of a binary neural associative memory

Jim Austin, J. V. Kennedy, 1994, Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems.

Binary neural network based 3D facial feature localization

Jim Austin, Simon O'Keefe, Quan Ju, 2009, 2009 International Joint Conference on Neural Networks.

On advantages and limitations of 3D wireless grids as parallel platforms

Jim Austin, Christopher Crispin-Bailey, Amir Mansoor Kamali, 2013, 2013 International Conference on Selected Topics in Mobile and Wireless Networking (MoWNeT).

Three-dimensional face recognition using combinations of surface feature map subspace components

Jim Austin, Nick Pears, Thomas Heseltine, 2008, Image Vis. Comput..

Software Sustainability: The Modern Tower of Babel

Jie Xu, Caroline Jay, Jim Austin, 2014, RE4SuSy@RE.

The signal data explorer: a high performance grid based signal search tool for use in distributed diagnostic applications

Jim Austin, Martyn Fletcher, Thomas W. Jackson, 2006, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06).

An evaluation of standard retrieval algorithms and a weightless neural approach

Victoria J. Hodge, Jim Austin, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

THE ADVANCED UNCERTAIN REASONING ARCHITECTURE, AURA

Jim Austin, K. Lees, J. V. Kennedy, 1998 .

VLSI implementation of a binary neural network-two case studies

Amine Bermak, Jim Austin, 1999, Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems.

C-NNAP-a parallel processing architecture for binary neural networks

Jim Austin, J. V. Kennedy, B. Cass, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Intelligent Car Park Routeing for Road Traffic

Victoria J. Hodge, Jim Austin, Mike Smith, 2009 .

CARMEN: an e-science virtual laboratory supporting collaboration in neuroinformatics

Paul Watson, Jim Austin, Leslie S Smith, 2009, BMC Neuroscience.

An Evaluation of Phonetic Spell Checkers

Victoria J. Hodge, Jim Austin, 2001 .

An Evaluation of Classification and Outlier Detection Algorithms pdf

Victoria J. Hodge, Jim Austin, 2018, ArXiv.

Road vehicle classification using Support Vector Machines

Zezhi Chen, Jim Austin, Nick Pears, 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

Hierarchical Growing Cell Structures: TreeGCS

Victoria J. Hodge, Jim Austin, 2001, IEEE Trans. Knowl. Data Eng..

RAM-Based Neural Networks

Jim Austin, J. Austin, 1998 .

A Novel Binary Spell Checker

Victoria J. Hodge, Jim Austin, 2001, ICANN.

A neural network based position invariant pattern recognition system with a constrained hypermedia style user-interface

Jim Austin, Ian D. Benest, D. Dukic, 1992 .

Optimising Activation of Bus Pre-signals

Thomas Jackson, Victoria J. Hodge, Jim Austin, 2009 .

Three-Dimensional Face Recognition: A Fishersurface Approach

Jim Austin, Nick Pears, Thomas Heseltine, 2004, ICIAR.

Hardware implementation of similarity functions

Jim Austin, Michael Weeks, Michael Freeman, 2005, IADIS AC.

Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications

Jim Austin, Tim Kelly, Zeshan Kurd, 2004, IDEAL.

Towards Novel Neuroscience-Inspired Computing

Stefan Wermter, Mark Elshaw, Jim Austin, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

FAST SIMULATION OF A BINARY NEURAL NETWORK ON A MESSAGE PASSING PARALLEL COMPUTER

Jim Austin, Gary Morgan, T. Macek, 1998 .

Pattern matching and associative artificial neural networks for water distribution system time series data analysis

Thomas Jackson, Jim Austin, Richard Mounce, 2014 .

High speed invariant pattern recognition using adaptive neural networks

Jim Austin, 1989 .

A binary neural k-nearest neighbour technique

Victoria J. Hodge, Jim Austin, J. Austin, 2005 .

Designing a binary neural network co-processor

Jim Austin, Michael Freeman, 2005, 8th Euromicro Conference on Digital System Design (DSD'05).

Neurocomputation in remote sensing data analysis : proceedings of concerted action COMPARES (connectionist methods for pre-processing and analysis of remote sensing data)

Fabio Roli, Jim Austin, Ioannis Kanellopoulos, 1997 .

A Binary Correlation Matrix Memory k-NN Classifier

Jim Austin, Ping Zhou, J. Austin, 1998 .

A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes

Jim Austin, Nick Pears, Clement Creusot, 2012, International Journal of Computer Vision.

Learning feature characteristics

Edwin R. Hancock, Jim Austin, Simon J. Hickinbotham, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Uniform tuple storage in ADAM

Jim Austin, Gary Morgan, George Bolt, 1992, Pattern Recognit. Lett..

A High-Performance Binary Neural Processor for PCI and VME Bus-based Systems

Jim Austin, Anthony Moulds, Zygmunt Ulanowski, 1999 .

Using neural networks as part of a system to recognise formations of aircraft

Jim Austin, P. R. Zanelli, 1997 .

Extending the Associative Rule Chaining Architecture for Multiple Arity Rules

Jim Austin, Simon O'Keefe, Nathan Burles, 2013 .

Identifying perceptual structures in trademark images

Victoria J. Hodge, Jim Austin, John Eakins, 2008 .

Pattern Matching in DAME using Grid Enabled AURA Technology

Jim Austin, Andy Pasley, Mark Jessop, 2003 .

Image Pre-processing with a Generalised Grey Scale N Tuple Operator

Jim Austin, 1988 .

Artificial ion channels and spike computation in modulation-doped semiconductors

Jim Austin, Alain Nogaret, N. J. Lambert, 2004 .

Intelligent Co-processor for Binary Neural Networks

Jim Austin, Michael Freeman, Michael Weeks, 2004 .

youShare , an online collaboration research environment for sharing data and services

Jim Austin, Martyn Fletcher, Mark Jessop, 2011 .

Safety Criteria and Safety Lifecycle for Artificial Neural Networks

Jim Austin, Tim Kelly, Zeshan Kurd, 2003 .

Emergent Neural Computational Architectures based on

Stefan Wermter, Silke Dodel, Jim Austin, 2001 .

Delivering a Grid enabled Distributed Aircraft Maintenance Environment ( DAME )

Jim Austin, Martyn Fletcher, Mark Jessop, 2003 .

A neural relaxation technique for chemical graph matching

Jim Austin, M. Turner, 1997 .

The CARMEN Neuroscience Server

Thomas Jackson, Jim Austin, Phillip Lord, 2007 .

A Scalable Service Architecture for Distributed Search

Jim Austin, Andy Pasley, 2005 .

Detecting Strain-Gauge Failures in Stress-Cycle Count Matrices

Jim Austin, Simon J. Hickinbotham, 1999 .

Enhancing YouShare: the online collaboration research environment for sharing data and services

Victoria J. Hodge, Jim Austin, Martyn Fletcher, 2012 .