Faculty of Science and Technology
| Title | Faculty of Science and Technology |
|---|---|
| Alternative | S&T |
| University | Middlesex University London |
| Campus | London |
Latest research outputs
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Interviewing high value detainees: securing cooperation and disclosures
Goodman-Delahunty, J., Martschuk, N. and Dhami, M. 2014. Interviewing high value detainees: securing cooperation and disclosures. Applied Cognitive Psychology. 28 (6), pp. 883-897. https://doi.org/10.1002/acp.3087Article
VALCRI: addressing European needs for information exploitation of large complex data in criminal intelligence analysis
Wong, B., Zhang, L. and Shepherd, I. 2014. VALCRI: addressing European needs for information exploitation of large complex data in criminal intelligence analysis. European Data Forum 2014. Athens, Greece 19 - 20 Mar 2014Conference paper
Visual analysis of streaming data with SAVI and SenseMAP
Xu, K., Nguyen, P. and Fields, B. 2014. Visual analysis of streaming data with SAVI and SenseMAP. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST). Paris, France 25 - 31 Oct 2014 pp. 389-390 https://doi.org/https://doi.org/10.1109/vast.2014.7042580Conference paper
Ethylene signalling affects susceptibility of tomatoes to Salmonella
Marvasi, M., Noel, J., George, A., Farias, M., Jenkins, K., Hochmuth, G., Xu, Y., Giovanonni, J. and Teplitski, M. 2014. Ethylene signalling affects susceptibility of tomatoes to Salmonella. Microbial Biotechnology. 7 (6), pp. 545-555. https://doi.org/10.1111/1751-7915.12130Article
Effects of nitrogen and potassium fertilization on the susceptibility of tomatoes to post-harvest proliferation of Salmonella enterica
Marvasi, M., George, A., Giurcanu, M., Hochmuth, G., Noel, J., Gause, E. and Teplitski, M. 2014. Effects of nitrogen and potassium fertilization on the susceptibility of tomatoes to post-harvest proliferation of Salmonella enterica. Food Microbiology. 43, pp. 20-27. https://doi.org/10.1016/j.fm.2014.03.017Article
Nature-inspired optimization algorithms
Yang, X. 2014. Nature-inspired optimization algorithms. Elsevier.Authored Book
Non-dominated sorting cuckoo search for multiobjective optimization
He, X., Li, N. and Yang, X. 2014. Non-dominated sorting cuckoo search for multiobjective optimization. 2014 IEEE Symposium on Swarm Intelligence (SIS). Orlando, Florida 09 - 12 Dec 2014 IEEE. pp. 1-7 https://doi.org/10.1109/SIS.2014.7011772Conference paper
Computational optimization, modelling and simulation: past, present and future
Yang, X., Koziel, S. and Leifsson, L. 2014. Computational optimization, modelling and simulation: past, present and future. 5th workshop on Computational Optimization, Modelling and Simulations (COMS 2014) at the ICCS 2014. Cairns, Australia 10 - 12 Jun 2014 Elsevier. pp. 754-758 https://doi.org/10.1016/j.procs.2014.05.067Conference paper
Discrete cuckoo search algorithm for job shop scheduling problem
Ouaarab, A., Ahiod, B., Yang, X. and Abbad, M. 2014. Discrete cuckoo search algorithm for job shop scheduling problem. 2014 IEEE International Symposium on Intelligent Control (ISIC). France 08 - 10 Oct 2014 IEEE. pp. 1872-1876 https://doi.org/10.1109/ISIC.2014.6967636Conference paper
Nature-inspired framework for hyperspectral band selection
Nakamura, R., Garcia Fonseca, L., Dos Santos, J., Da S. Torres, R., Yang, X. and Papa, J. 2014. Nature-inspired framework for hyperspectral band selection. IEEE Transactions on Geoscience and Remote Sensing. 52 (4), pp. 2126-2137. https://doi.org/10.1109/TGRS.2013.2258351Article
A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems
Marichelvam, M., Prabaharan, T. and Yang, X. 2014. A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems. IEEE Transactions on Evolutionary Computation. 18 (2), pp. 301-305. https://doi.org/10.1109/TEVC.2013.2240304Article
Binary bat algorithm
Mirjalili, S., Mirjalili, S. and Yang, X. 2014. Binary bat algorithm. Neural Computing and Applications. 25 (3-4), pp. 663-681. https://doi.org/10.1007/s00521-013-1525-5Article
Bat algorithm based on simulated annealing and Gaussian perturbations
He, X., Ding, W. and Yang, X. 2014. Bat algorithm based on simulated annealing and Gaussian perturbations. Neural Computing and Applications. 25 (2), pp. 459-468. https://doi.org/10.1007/s00521-013-1518-4Article
Discrete cuckoo search algorithm for the travelling salesman problem
Ouaarab, A., Ahiod, B. and Yang, X. 2014. Discrete cuckoo search algorithm for the travelling salesman problem. Neural Computing and Applications. 24 (7-8), pp. 1659-1669. https://doi.org/10.1007/s00521-013-1402-2Article
Cuckoo search: recent advances and applications
Yang, X. and Deb, S. 2014. Cuckoo search: recent advances and applications. Neural Computing and Applications. 24 (1), pp. 169-174. https://doi.org/10.1007/s00521-013-1367-1Article
Chaotic bat algorithm
Gandomi, A. and Yang, X. 2014. Chaotic bat algorithm. Journal of Computational Science. 5 (2), pp. 224-232. https://doi.org/10.1016/j.jocs.2013.10.002Article
Mathematical modelling and parameter optimization of pulsating heat pipes
Yang, X., Karamanoglu, M., Luan, T. and Koziel, S. 2014. Mathematical modelling and parameter optimization of pulsating heat pipes. Journal of Computational Science. 5 (2), pp. 119-125. https://doi.org/10.1016/j.jocs.2013.12.003Article
An empirical study of test effort estimation based on bat algorithm
Srivastava, P., Bidwai, A., Khan, A., Rathore, K., Sharma, R. and Yang, X. 2014. An empirical study of test effort estimation based on bat algorithm. International Journal of Bio-Inspired Computation. 6 (1), pp. 57-70. https://doi.org/10.1504/IJBIC.2014.059966Article
Bio-inspired computation: success and challenges of IJBIC
Yang, X. and Cui, Z. 2014. Bio-inspired computation: success and challenges of IJBIC. International Journal of Bio-Inspired Computation. 6 (1), pp. 1-6. https://doi.org/10.1504/IJBIC.2014.059969Article
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
Rodrigues, D., Pereira, L., Nakamura, R., Costa, K., Yang, X., Souza, A. and Papa, J. 2014. A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest. Expert Systems with Applications. 41 (5), pp. 2250-2258. https://doi.org/10.1016/j.eswa.2013.09.023Article
Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan
Marichelvam, M., Prabaharan, T. and Yang, X. 2014. Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan. Applied Soft Computing. 19, pp. 93-101. https://doi.org/10.1016/j.asoc.2014.02.005Article
A bio-inspired algorithm for identification of critical components in the transportation networks
Zhang, X., Adamatzky, A., Yang, H., Mahadaven, S., Yang, X., Wang, Q. and Deng, Y. 2014. A bio-inspired algorithm for identification of critical components in the transportation networks. Applied Mathematics and Computation. 248, pp. 18-27. https://doi.org/10.1016/j.amc.2014.09.055Article
The evolutionary genetics of highly divergent alleles of the mimicry locus in Papilio dardanus
Thompson, M., Timmermans, M., Jiggins, C. and Vogler, A. 2014. The evolutionary genetics of highly divergent alleles of the mimicry locus in Papilio dardanus. BMC Evolutionary Biology. 14. https://doi.org/10.1186/1471-2148-14-140Article
Employability in the first degree: the role of work placements on students’ perceptions of graduate employability
Mahmood, L., Slabu, L., Randsley de Moura, G. and Hopthrow, T. 2014. Employability in the first degree: the role of work placements on students’ perceptions of graduate employability. Psychology Teaching Review. 20 (2), pp. 126-136. https://doi.org/10.53841/bpsptr.2014.20.2.126Article
Identifying differences in the experience of (in)authenticity: a latent class analysis approach
Lenton, A., Slabu, L., Bruder, M. and Sedikides, C. 2014. Identifying differences in the experience of (in)authenticity: a latent class analysis approach. Frontiers in Psychology. 5, pp. 1-9. https://doi.org/10.3389/fpsyg.2014.00770Article
Hamstring strain prevention in elite soccer players
Turner, A., Cree, J., Comfort, P., Jones, L., Chavda, S., Bishop, C. and Reynolds, A. 2014. Hamstring strain prevention in elite soccer players. Strength and Conditioning Journal. 36 (5), pp. 10-20. https://doi.org/10.1519/SSC.0000000000000076Article
Intelligent environments simulations, towards a smart campus
Campuzano, F., Doumanis, I., Smith, S. and Botia, J. 2014. Intelligent environments simulations, towards a smart campus. The University as a Context Platform, Workshop. University of West London, London, United Kingdom 14 Nov 2014 https://doi.org/10.13140/2.1.3141.3447Conference paper
Wearable sensors for patient-specific boundary shape estimation to improve the forward model for electrical impedance tomography (EIT) of neonatal lung function
Khor, J., Tizzard, A., Demosthenous, A. and Bayford, R. 2014. Wearable sensors for patient-specific boundary shape estimation to improve the forward model for electrical impedance tomography (EIT) of neonatal lung function. Physiological Measurement. 35 (6), pp. 1149-1161. https://doi.org/10.1088/0967-3334/35/6/1149Article
High-power CMOS current driver with accurate transconductance for electrical impedance tomography
Constantinou, L., Triantis, I., Bayford, R. and Demosthenous, A. 2014. High-power CMOS current driver with accurate transconductance for electrical impedance tomography. IEEE Transactions on Biomedical Circuits and Systems. 8 (4), pp. 575-583. https://doi.org/10.1109/TBCAS.2013.2285481Article
The MyD88+ phenotype is an adverse prognostic factor in epithelial ovarian cancer
D’Adhemar, C., Spillane, C., Gallagher, M., Bates, M., Costello, K., Barry-O'Crowley, J., Haley, K., Kernan, N., Murphy, C., Smyth, P., O'Byrne, K., Pennington, S., Cooke, A., Ffrench, B., Martin, C., O'Donnell, D., Hennessy, B., Stordal, B., Finn, S., McCann, A., Gleeson, N., D'Arcy, T., Flood, B., O'Neill, L., Sheils, O., O'Toole, S. and O'Leary, J. 2014. The MyD88+ phenotype is an adverse prognostic factor in epithelial ovarian cancer. PLoS ONE. 9 (6), pp. 1-15. https://doi.org/10.1371/journal.pone.0100816Article
OvMark: a user-friendly system for the identification of prognostic biomarkers in publically available ovarian cancer gene expression datasets
Madden, S., Clarke, C., Stordal, B., Carey, M., Broaddus, R., Gallagher, W., Crown, J., Mills, G. and Hennessy, B. 2014. OvMark: a user-friendly system for the identification of prognostic biomarkers in publically available ovarian cancer gene expression datasets. Molecular Cancer. 13 (1), pp. 1-11. https://doi.org/10.1186/1476-4598-13-241Article
Where antibiotic resistance mutations meet quorum-sensing
Krašovec, R., Belavkin, R., Aston, J., Channon, A., Aston, E., Rash, B., Kadirvel, M., Forbes, S. and Knight, C. 2014. Where antibiotic resistance mutations meet quorum-sensing. Microbial Cell. 1 (7), pp. 250-252. https://doi.org/10.15698/mic2014.07.158Article
On variational definition of quantum entropy
Belavkin, R. 2014. On variational definition of quantum entropy. 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014). Clos Lucé, Amboise, France 21 - 26 Sep 2014 American Institute of Physics (AIP). https://doi.org/10.1063/1.4905979Conference paper
Effect of vicarious fear learning on children's heart rate responses and attentional bias for novel animals
Reynolds, G., Field, A. and Askew, C. 2014. Effect of vicarious fear learning on children's heart rate responses and attentional bias for novel animals. Emotion. 14 (5), pp. 995-1006. https://doi.org/10.1037/a0037225Article
The effect of disgust and fear modeling on children’s disgust and fear for animals
Askew, C., Çakır, K., Põldsam, L. and Reynolds, G. 2014. The effect of disgust and fear modeling on children’s disgust and fear for animals. Journal of Abnormal Psychology. 123 (3), pp. 566-577. https://doi.org/10.1037/a0037228Article
Model checking degrees of belief in a system of agents
Primiero, G., Raimondi, F. and Rungta, N. 2014. Model checking degrees of belief in a system of agents. AAMAS 2014: 13th International Conference on Autonomous Agents and Multiagent Systems. Paris, France 05 - 09 May 2014 International Foundation for Autonomous Agents and Multiagent Systems. pp. 133-140Conference paper
Post and pre-compensatory Hebbian Learning for categorisation
Huyck, C. and Mitchell, I. 2014. Post and pre-compensatory Hebbian Learning for categorisation. Cognitive Neurodynamics. 8 (4), pp. 299-311. https://doi.org/10.1007/s11571-014-9282-4Article
Improving the model checking of strategies under partial observability and fairness constraints
Busard, S., Pecheur, C., Qu, H. and Raimondi, F. 2014. Improving the model checking of strategies under partial observability and fairness constraints. 16th International Conference on Formal Engineering Methods, ICFEM 2014. Luxembourg 03 - 05 Nov 2014 Springer International Publishing. https://doi.org/10.1007/978-3-319-11737-9_3Conference paper
Instant channel allocation technique to improve system throughput in joint LTE cellular network
Rezvy, S., Rahman, S., Lasebae, A. and Loo, J. 2014. Instant channel allocation technique to improve system throughput in joint LTE cellular network. Advanced Information Networking and Applications Workshops (WAINA 2014). Victoria, Canada 13 - 16 May 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 900-904 https://doi.org/10.1109/WAINA.2014.198Conference paper
Domain-specific reasoning for method engineering based on Toulmin's argumentation theory
Bittman, S., Barn, B. and Clark, T. 2014. Domain-specific reasoning for method engineering based on Toulmin's argumentation theory. International Journal of Knowledge and Learning (IJKL),. 9 (1/2), pp. 104-123. https://doi.org/10.1504/IJKL.2014.067173Article
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