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• Predicting Criminality? Risk Factors, Neighbourhood Influence and Desistance

  Webster, C., Macdonald, R. & Simpson, M., 1 Apr 2006, In: Youth Justice. 6, 1, p. 7-22 16 p.

  Research output: Contribution to journal › Article › peer-review
  71 Citations (Scopus)

• Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning

  Stamate, D., Alghamdi, W., Stahl, D., Pu, I., Murtagh, F., Belgrave, D., Murray, R. & di Forti, M., 18 May 2018, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III. Medina, J., Ojeda-Aciego, M., Verdegay, J. L., Perfilieva, I., Bouchon-Meunier, B. & Yager, R. R. (eds.). Cham: Springer Verlag, p. 691-702 12 p. (Communications in Computer and Information Science; vol. 855).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

• Predicting human intestinal absorption in the presence of bile salt with micellar liquid chromatography

  Waters, L. J., Shokry, D. S. & Parkes, G. M. B., 1 Oct 2016, In: Biomedical Chromatography. 30, 10, p. 1618-1624 7 p.

  Research output: Contribution to journal › Article › peer-review
  8 Citations (Scopus)

• Predicting intention to uptake H1N1 influenza vaccine in a university sample

  Byrne, C., Walsh, J., Kola, S. & Sarma, K. M., 1 Sep 2012, In: British Journal of Health Psychology. 17, 3, p. 582-595 14 p.

  Research output: Contribution to journal › Article › peer-review
  7 Citations (Scopus)

• Predicting Lift-Off Time When Deep-Frying Potato Dough Snacks

  Babb, T., Benham, G. P., Bows, J., Gonzalez-Farina, R., Kiradjiev, K. B., Lee, W. & Tibos, S., 26 Apr 2021, In: SIAM Journal on Applied Mathematics. 81, 2, p. 574-590 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

• Predicting mechanical behavior of novel sandwich composite panels based on 3D warp-knitted spacer fabrics using Finite Element Method (FEM)

  Velosa, J. C., Rana, S., Fangueiro, R. & Marques, S., 2012, Proceedings of the 15th European Conference on Composite Materials: ECCM15 Composites at Venice 2012. European Society for Composite Materials, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access
  3 Citations (Scopus)

• Predicting Oil Film performance in a Journal Bearing based on Modulation Signal Bispectrum analysis of Vibration Signals

  Hassin, O., Yao, A., Zhang, H. C., Gu, F. & Ball, A., 1 Jul 2017, In: International Journal of COMADEM. 20, 3, p. 19-24 6 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Predicting particle accelerator failures using binary classifiers

  Rescic, M., Seviour, R. & Blokland, W., 1 Mar 2020, In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 955, 8 p., 163240.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  5 Citations (Scopus)

• Predicting P-Glycoprotein Effects on Oral Absorption: Correlation of Transport in Caco-2 with Drug Pharmacokinetics in Wild-Type and mdr1a(-/-) Mice in Vivo

  Collett, A., Tanianis-Hughes, J., Hallifax, D. & Warhurst, G., May 2004, In: Pharmaceutical Research. 21, 5, p. 819-826 8 p.

  Research output: Contribution to journal › Article › peer-review
  56 Citations (Scopus)

• Predicting phishing websites based on self-structuring neural network

  Mohammad, R. M., Thabtah, F. & McCluskey, L., 21 Nov 2013, In: Neural Computing and Applications. 25, 2, p. 443-458 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  144 Citations (Scopus)

• Predicting plastic deformation and work hardening during V-band formation

  Muller, M., Barrans, S. M. & Blunt, L., 1 Apr 2011, In: Journal of Materials Processing Technology. 211, 4, p. 627-636 10 p.

  Research output: Contribution to journal › Article › peer-review
  18 Citations (Scopus)

• Predicting Post-Discharge Community Violence in England and Wales Using the HCR-20^V3

  Doyle, M., Power, L. A., Coid, J., Kallis, C., Ullrich, S. & Shaw, J., 1 Apr 2014, In: International Journal of Forensic Mental Health. 13, 2, p. 140-147 8 p.

  Research output: Contribution to journal › Article › peer-review
  28 Citations (Scopus)

• Predicting stock market performance: The influence of gender and personality on financial decision making

  Plieger, T., Grünhage, T., Duke, É. & Reuter, M., 1 Apr 2021, In: Journal of Individual Differences. 42, 2, p. 64-73 10 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Predicting supply chain risks using machine learning: The trade-off between performance and interpretability

  Baryannis, G., Dani, S. & Antoniou, G., 1 Dec 2019, In: Future Generation Computer Systems. 101, p. 993-1004 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  29 Citations (Scopus)

• Predicting the Dynamic Response of Dual-Rotor System Subject to Interval Parametric Uncertainties Based on the Non-Intrusive Metamodel

  Fu, C., Feng, G., Ma, J., Lu, K., Yang, Y. & Gu, F., 7 May 2020, In: Mathematics. 8, 5, 15 p., 736.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  5 Citations (Scopus)

• Predicting the Future in Perceptual-Motor Domains

  Suss, J. & Ward, P., 26 Jan 2015, The Cambridge Handbook of Applied Perception Research. Hoffman, R. R., Hancock, P. A., Scerbo, M. W., Parasuraman, R. & Szalma, J. L. (eds.). Cambridge University Press, p. 951-976 26 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
  7 Citations (Scopus)

• Predicting the gastrointestinal behaviour of modified-release products: Utility of a novel dynamic dissolution test apparatus involving the use of bicarbonate buffers

  Merchant, H., Goyanes, A., Parashar, N. & Basit, A. W., 20 Nov 2014, In: International Journal of Pharmaceutics. 475, 1-2, p. 585-591 7 p.

  Research output: Contribution to journal › Article › peer-review
  29 Citations (Scopus)

• Predicting the suitability of microwave formulation using microwave differential thermal analysis (MWDTA)

  Waters, L. J., Ahmad, S. A. & Parkes, G. M. B., 1 Jan 2020, In: Journal of Thermal Analysis and Calorimetry. 139, 1, p. 383-392 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predicting tumor responses to mitomycin C on the basis of DT-diaphorase activity or drug metabolism by tumor homogenates: implications for enzyme-directed bioreductive drug development

  Phillips, R. M., Burger, A. M., Loadman, P. M., Jarrett, C. M., Swaine, D. J. & Fiebig, H-H., 15 Nov 2000, In: Cancer Research. 60, 22, p. 6384-90 7 p.

  Research output: Contribution to journal › Article › peer-review
  33 Citations (Scopus)

• Predicting visual outcomes in patients treated with aflibercept for neovascular age-related macular degeneration: Data from a real-world clinical setting

  Fulcher, C., Hazel, C. A., Pacey, I., Ali, H. & Ghanchi, F. D., 1 May 2020, In: European Journal of Ophthalmology. 30, 3, p. 543–549 7 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Prediction and analysis of engine friction power of a diesel engine influenced by engine speed, load, and lubricant viscosity

  Singh, D., Gu, F., Fieldhouse, J. D., Singh, N. & Singal, S. K., 9 Dec 2014, In: Advances in Tribology. 2014, 928015.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  8 Citations (Scopus)

• Prediction models for density and viscosity of biodiesel and their effects on fuel supply system in CI engines

  Tesfa, B., Mishra, R., Gu, F. & Powles, N., Dec 2010, In: Renewable Energy. 35, 12, p. 2752-2760 9 p.

  Research output: Contribution to journal › Article › peer-review
  133 Citations (Scopus)

• Prediction of antilock braking system condition with the vehicle stationary using a model-based approach

  Shi, Z., Legate, I., Gu, F., Fieldhouse, J. & Ball, A., Jun 2010, In: International Journal of Automotive Technology. 11, 3, p. 363-373 11 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Prediction of drug-related problems in diabetic outpatients in a number of hospitals, using a modeling approach

  Al-Taani, G. M., Al-Azzam, S. I., Alzoubi, K. H., Elhajji, F. W. D., Scott, M. G., Alfahel, H. & Aldeyab, M. A., 28 Jul 2017, In: Drug, Healthcare and Patient Safety. 9, p. 65-70 6 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  7 Citations (Scopus)

• Prediction of entrained droplet fraction in co-current annular gas–liquid flow in vertical pipes

  Aliyu, A. M., Almabrok, A. A., Baba, Y. D., Archibong, A. E., Lao, L., Yeung, H. & Kim, K. C., 1 Jul 2017, In: Experimental Thermal and Fluid Science. 85, p. 287-304 18 p.

  Research output: Contribution to journal › Article › peer-review
  23 Citations (Scopus)

• Prediction of Ground-Borne Vibration Generated at Railway Crossings Using a Hybrid Model

  Ntotsios, E., Kostovasilis, D., Thompson, D. J., Squicciarini, G. & Bezin, Y., 9 Apr 2021, Noise and Vibration Mitigation for Rail Transportation Systems: Proceedings of the 13th International Workshop on Railway Noise, 16-20 September 2019, Ghent, Belgium. Degrande, G., Lombaert, G., Anderson, D., de Vos, P., Gautier, P-E., Iida, M., Nelson, J. T., Nielson, J. C. O., Thompson, D. J., Tielkes, T. & Towers, D. A. (eds.). 1st ed. Cham: Springer Nature Switzerland AG, Vol. 150 NNFM. p. 420-428 9 p. (Notes on Numerical Fluid Mechanics and Multidisciplinary Design; vol. 150 NNFM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

• Prediction of human intestinal absorption using micellar liquid chromatography with an aminopropyl stationary phase

  Shokry, D. S., Waters, L. J., Parkes, G. M. B. & Mitchell, J. C., 1 Jul 2019, In: Biomedical Chromatography. 33, 7, e4515.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  2 Citations (Scopus)

• Prediction of Low-Back Trouble Frequency in a Working Population

  Burton, A. K., Tillotson, K. M. & Troup, J. D. G., 1 Sep 1989, In: Spine. 14, 9, p. 939-946 8 p.

  Research output: Contribution to journal › Article › peer-review
  63 Citations (Scopus)

• Prediction of mechanical properties of rail pads under in-service conditions through machine learning algorithms

  Ferreño, D., Sainz-Aja, J. A., Carrascal, I. A., Cuartas, M., Pombo, J., Casado, J. A. & Diego, S., 1 Jan 2021, In: Advances in Engineering Software. 151, 11 p., 102927.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Prediction of metal PM emission in rail tracks for condition monitoring application

  Tesfa, B., Gu, F., Anyakwo, A., Al Thobiani, F. & Ball, A., 2011, 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011. 581 CP ed. Vol. 2011.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  1 Citation (Scopus)

• Prediction of Pressure Gradient in Two and Three-Phase Flows in Vertical Pipes Using an Artificial Neural Network Model

  Ribeiro, J. X. F., Liao, R., Aliyu, A. M. & Liu, Z., 1 Jul 2019, In: International Journal of Engineering and Technology Innovation. 9, 3, p. 155-170 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  3 Citations (Scopus)

• Prediction of Preterm Deliveries from EHG Signals Using Machine Learning

  Fergus, P., Cheung, P., Hussain, A., Al-jumeily, D., Dobbins, C., Iram, S. & Wei, Z. (ed.), 28 Oct 2013, In: PLoS One. 8, 10, 16 p., e77154.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  89 Citations (Scopus)

• Prediction of rail corrugation using a rotating flexible wheelset coupled with a flexible track model and a non-Hertzian/non-steady contact model

  Baeza, L., Vila, P., Xie, G. & Iwnicki, S. D., 29 Aug 2011, In: Journal of Sound and Vibration. 330, 18-19, p. 4493-4507 15 p.

  Research output: Contribution to journal › Article › peer-review
  46 Citations (Scopus)

• Prediction of rail damage using a combination of Shakedown Map and wheel-rail contact energy

  Boyacioglu, P. & Bevan, A., 15 Nov 2020, In: Wear. 460-461, 15 p., 203457.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  3 Citations (Scopus)

• Prediction of RCF Damage on Underground Metro Lines

  Boyacioglu, P., Bevan, A. & Vickerstaff, A., 10 Jul 2017, ICRT 2017: Railway Development, Operations, and Maintenance. Zhai, W. & Wang, K. C. P. (eds.). American Society of Civil Engineers (ASCE), p. 207-225 18 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access
  3 Citations (Scopus)

• Prediction of Surface Topography at the End of Sliding Running-In Wear Based on Areal Surface Parameters

  Lu, W., Zhang, G., Liu, X., Zhou, L., Chen, L. & Jiang, X., 2014, In: Tribology Transactions. 57, 3, p. 553-560 8 p.

  Research output: Contribution to journal › Article › peer-review
  18 Citations (Scopus)

• Prediction of the Clinical Course of Low-Back Trouble Using Multivariable Models

  Burton, A. K. & Tillotson, K. M., 1 Jan 1991, In: Spine. 16, 1, p. 7-14 8 p.

  Research output: Contribution to journal › Article › peer-review
  49 Citations (Scopus)

• Prediction of the effect of formulation on the toxicity of chemicals

  Mistry, P., Neagu, D., Sanchez-Ruiz, A., Trundle, P. R., Vessey, J. D. & Gosling, J. P., 1 Jan 2017, In: Toxicology Research. 6, 1, p. 42-53 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Prediction of wheel and rail wear under different contact conditions using artificial neural networks

  Shebani, A. & Iwnicki, S., 15 Jul 2018, In: Wear. 406-407, p. 173-184 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  45 Citations (Scopus)

• Predictive control strategies used to solve challenges related to modern railway vehicles

  Ngigi, R. W., Pislaru, C., Ball, A., Gu, F. & Anyakwo, A., 2011, 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, RCM 2011. 581 CP ed. Vol. 2011.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  4 Citations (Scopus)

• Predictive models and abstract argumentation: the case of high-complexity semantics

  Vallati, M., Cerutti, F. & Giacomin, M., 18 Apr 2019, In: Knowledge Engineering Review. 34, p. 1-23 23 p., e6.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predictive models for isokinetic ankle muscle strength relating to age, mass, stature, sex and shoe size

  Fish, M., Haines, M., Milligan, J. & Killey, J., 8 Nov 2019, In: Journal of Sports Sciences. 37, sup1, p. 67-67 1 p., D2.S1.5(4).

  Research output: Contribution to journal › Meeting Abstract › peer-review

• Predictive Wheel-rail Management in London Underground: Validation and Verification

  Vickerstaff, A., Bevan, A. & Boyacioglu, P., 1 Apr 2020, In: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 234, 4, p. 393-404 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  2 Citations (Scopus)

• Predictors and Associates of Problem–Reaction–Solution: Statistical Bias, Emotion-Based Reasoning, and Belief in the Paranormal

  Drinkwater, K., Dagnall, N., Denovan, A., Parker, A. & Clough, P., 19 Mar 2018, In: SAGE Open. 8, 1, 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  3 Citations (Scopus)

• Predictors of antidepressant use in the English population: analysis of the Adult Psychiatric Morbidity Survey

  Boyle, S., Murphy, J., Rosato, M., Boduszek, D. & Shevlin, M., 1 Mar 2020, In: Irish Journal of Psychological Medicine. 37, 1, p. 15-23 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  5 Citations (Scopus)

• Predictors of high HIV+ prevalence in Mozambique: A complex samples logistic regression modeling and spatial mapping approaches

  Nutor, J. J., Duodu, P. A., Agbadi, P., Duah, H. O., Oladimeji, K. E. & Gondwe, K. W., 4 Jun 2020, In: PLoS One. 15, 6, 21 p., e0234034.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  4 Citations (Scopus)

• Preemptive Scheduling for Multi-item Queries in On-demand Data Broadcast

  Zhang, Z., Sun, W., Yu, P. & Qin, Y., 12 Dec 2008, Proceedings of the 9th International Conference for Young Computer Scientists (ICYCS 2008). Wang, G., Chen, J., Fellows, M. R. & Ma, H. (eds.). IEEE, p. 610-615 6 p. 4709042

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  1 Citation (Scopus)

• Preface

  Johanson, M. & Lundberg, H., 30 Nov 2010, Network Strategies for Regional Growth. Johanson, M. & Lundberg, H. (eds.). Palgrave Macmillan, p. ix

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript › peer-review

• Preface

  Glover, I. A., Pennock, S. R. & Shepherd, P. R., 5 May 2006, Microwave Devices, Circuits and Subsystems for Communications Engineering. Glover, I. A., Pennock, S. R. & Shepherd, P. R. (eds.). John Wiley & Sons, Ltd, p. xvii-xviii 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript › peer-review

• Preface

  Chase, S. & Thomas, P., 28 Aug 2010, Changing the System: The Music of Christian Wolff. Chase, S. & Thomas, P. (eds.). Ashgate Publishing Ltd., p. xxi-xxiii 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript › peer-review