We have a proven track record in research

20 Journal and Conference Publications

A E Solutions (BI) Ltd have published a number of papers in international journals and conferences including a book chapter. Always willing and interested in undertaking research, we specialise in undertaking such work that could have a practical application in the real world to make a difference.

 
Research Project Information
MOSAIC Multi-Modal Situation Assessment & Analytics Platform - Automatic detection and recognition of threats to critical assets in large unpredictable environment
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CRISIS Critical Incident management training System using an Interactive Simulation environment
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MOVEON Multi-modal and multi-sensor zero-distraction interaction interface for two wheel vehicles on the move
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ITRACS Counter-terrorism Identification and Advanced Tracking System using the Analysis of Communication, Financial and Travel Data
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A E Solutions (BI) Ltd. is dedicated to respecting and protecting your privacy. We will not release any contact or account information from our clients, including e-mail address, without prior consent. If you have any questions regarding this policy, please contact us.

This policy was last modified on 11 April 2011

References  

1. ADDERLEY, R., MUSGROVE, P. B., (1999), Data mining at the West Midlands Police: A study of bogus official burglaries. BCS Special Group Expert Systems, ES99, London, Springer-Verlag, pp 191-203.

2. ADDERLEY, R., MUSGROVE, P. B., (2001), General review of police crime recording and investigation systems. A user's view. Policing: An International Journal of Police Strategies and Management, 24(1) pp 110-114.

3. ADDERLEY, R. & MUSGROVE, P.B. (2001), Data mining case study: Modelling the behaviour of offenders who commit serious sexual assaults, ACM Special Interest Group on Knowledge Discovery and Data Mining (2001) Proceedings: seventh ACM SIGKDD international conference on knowledge discovery and data mining, 2001, August 26-29 2000, (San Francisco). Association for Computing Machinery Inc. pp 215-220.

4. ADDERLEY, R. & MUSGROVE, P.B. (2003), Modus operandi modelling of group offending: a data mining case study, The International Journal of Police Science and Management 5(4) pp267-276.

5. ADDERLEY, R. (2003), The use of data mining techniques in active crime fighting, International conference on computer, communication and control technologies and the 9th international conference on information systems analysis and synthesis, 2003, 31 July – 3 August 2003. (Orlando): CCCT. pp356-361.

6. ADDERLEY, R (2005), The use of data mining techniques in operational crime fighting in ZURADA, J., KANTARDZIC, M., (eds) New Generations of Data Mining Applications. pp 525-543, Wiley & Sons, New Jersey

7. ADDERLEY, R., (2004), Using data mining techniques to solve crime, 2nd Symposium on Intelligence and Security Informatics, 2004, 10-11 June. (Tucson) JCDL 2004. pp 418-425.

8. ADDERLEY, R., BOND, J., TOWNSLEY, M. (2006), The use of data mining techniques to model crime scene investigator performance, Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2006, 11 – 13 December 2006 (Cambridge), London, Springer-Verlag, pp 19-32.

9. ADDERLEY, R., BOND, J., TOWNSLEY, M. (2006), The use of data mining techniques to model crime scene investigator performance, Knowledge Based Systems 20(2) pp 170-176.

10. ADDERLEY, R., BOND, J., TOWNSLEY, M. (2006), Predicting Crime Scene Attendance, The International Journal of Police Science and Management V9(4) pp 312-323.

11. GROVER, V., ADDERLEY, R., BRAMER, M. (2006), Review of crime prediction techniques. Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2006, London, Springer-Verlag, pp 233-237.

12. ADDERLEY, R., BOND, J. (2008), The Effects of Deprivation on the Time Spent Examining Crime Scenes and the Recovery of DNA and Fingerprints, Journal of Forensic Science 53(1) pp 178-182.

13. ADDERLEY, R., BOND, J., (2007), Police Forensic science performance indicators – a new approach to data validation Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI-2007, London, Springer-Verlag, pp 163-174.

14. ADDERLEY, R., BOND, J., (2007), Predicting Crime Scene Attendance. Policing; An International Journal of Police Strategies & Management 7(42) pp 292-305.

15. ADDERLEY, R., BADII, A., WU, C., (2008), The Automatic Identification and Prioritisation of Criminal Networks from Police Crime Data Proceedings EuroISI 2008, European Conference on Intelligence and Security Informatics London, Springer-Verlag, pp 5-14.

16. T. Winkler, T. Kostoulas, R. Adderley, C. Bonkowski, T. Ganchev, J. Köhler, N. Fakotakis, (2008). "The MoveOn Motorcycle Speech Corpus", in Proc. of the LREC'2008, Marrakech, Morocco.

17. Adderley, Richard; Smith, Michelle (2010). "Position Paper: Assessing Stress in Operational Police Officers". IPES/DCAF Working Paper Series, No 22 (July).

18. Adderley, R., Smith, M. (2010). Position paper: Assessing stress in immersive training environments. 6th Nordic Conference on human-computer interaction, workshop. Reykjavik, Iceland. 16 – 20 October 2010.

19. Adderley, R., Badii, A., Chojnacki, S. (2010). Investigating distraction burglary offences by the use of text mining. Submitted to: The International Journal of Police Science and Management.

20. M. Bäumer, P. Seidler, R. Torkar, P. Tomaszewski, L.-O. Damm and R. Feldt. "Predicting fault inflow in highly iterative software development processes: An industrial evaluation," In Proceedings of the 19th International Symposium on Software Reliability Engineering (ISSRE 2008), Seattle, USA, 2008.