All Outputs (1080)

Dispersion of elastic waves in laminated glass (2017)
Journal Article
Kaplunov, J., Prikazchikov, D., & Prikazchikova, L. (2017). Dispersion of elastic waves in laminated glass. Procedia Engineering, 199, 1489 -1494. https://doi.org/10.1016/j.proeng.2017.09.428

Elastic sandwich-type structures with high-contrast material and geometrical properties have numerous applications in modern engineering, including, in particular, laminated glass, photovoltaic panels, precipitator plates in gas filters, etc. Multi-p... Read More about Dispersion of elastic waves in laminated glass.

On surface wave fields arising in soil-structure interaction problems (2017)
Journal Article
Ege, N., Erbas, B., Chorozoglou, A., Kaplunov, J., & Prikazchikov, D. A. (2017). On surface wave fields arising in soil-structure interaction problems. Procedia Engineering, 199, 2366 -2371. https://doi.org/10.1016/j.proeng.2017.09.253

Abstract The paper aims at generalization of the specialized formulation, originally developed for the surface wave fields induced by prescribed surface stresses. We extend this formulation to soil-structure interaction problems with unknown contact... Read More about On surface wave fields arising in soil-structure interaction problems.

I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization (2017)
Presentation / Conference Contribution
Molino, A., Mandal, B., Jie, L., Lim, J.-H., Subbaraju, V., & Chandrasekhar, V. I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization

In this paper we describe our approach for the ImageCLEF-lifelog summarization task. A total of ten runs were submitted, which used only visual features, only metadata information, or both. In the first step, a set of relevant frames are drawn from t... Read More about I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization.

Fast blur detection and parametric deconvolution of retinal fundus images (2017)
Presentation / Conference Contribution
Williams, B. M., Al-Bander, B., Pratt, H., Lawman, S., Zhao, Y., Zheng, Y., & Shen, Y. (2017, September). Fast blur detection and parametric deconvolution of retinal fundus images. Presented at International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada

Blur is a significant problem in medical imaging which can hinder diagnosis and prevent further automated or manual processing. The problem of restoring an image from blur degradation remains a challenging task in image processing. Semi-blind deblurr... Read More about Fast blur detection and parametric deconvolution of retinal fundus images.

Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer (2017)
Presentation / Conference Contribution
Butcher, J. B., Rutter, A. V., Wootton, A. J., Day, C. R., & Sulé-Suso, J. (2017, September). Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer. Presented at 17th Annual UK Workshop on Computational Intelligence, Cardiff, Wales, UK

Lung cancer is a widespread disease and it is well understood that systematic, non-invasive and early detection of this progressive and life-threatening disorder is of vital importance for patient outcomes. In this work we present a convergence of fa... Read More about Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer.

Lexicase Selection Outperforms Previous Strategies for Incremental Evolution of Virtual Creature Controllers (2017)
Presentation / Conference
(2017, September). Lexicase Selection Outperforms Previous Strategies for Incremental Evolution of Virtual Creature Controllers. Presented at ECAL 2017: 14th European Conference on Artificial Life, Lyon

Evolving robust behaviors for robots has proven to be a challenging problem. Determining how to optimize behavior for a specific instance, while also realizing behaviors that generalize to variations on the problem often requires highly customized al... Read More about Lexicase Selection Outperforms Previous Strategies for Incremental Evolution of Virtual Creature Controllers.

Open-Ended Evolution in Cellular Automata Worlds (2017)
Presentation / Conference
(2017, September). Open-Ended Evolution in Cellular Automata Worlds. Presented at European Conference on Artificial Life, Lyon, France

Open-ended evolution is a fundamental issue in artificial life research. We consider biological and social systems as a flux of interacting components that transiently participate in interactions with other system components as part of these systems.... Read More about Open-Ended Evolution in Cellular Automata Worlds.

Critical Mutation Rate in a Population with Horizontal Gene Transfer (2017)
Book Chapter
Channon. (2017). Critical Mutation Rate in a Population with Horizontal Gene Transfer. In Proceedings of ECAL 2017: the 14th European Conference on Artificial Life (446-453). https://doi.org/10.7551/ecal_a_074

Horizontal gene transfer (HGT) enables segments of DNA to be transferred between individuals in a population in addition to from parent to child. It is a prominent process in bacterial reproduction. Existing in silico models have succeeded in predict... Read More about Critical Mutation Rate in a Population with Horizontal Gene Transfer.

An empirical approach for automatic face clustering on personal lifelogging images (2017)
Presentation / Conference Contribution
Subbaraju, V., Xu, Q., Mandal, B., Li, L., & Lim, J.-H. (2017, August). An empirical approach for automatic face clustering on personal lifelogging images. Presented at 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP), Singapore

Life-logging applications generate a vast amount of personalized data that provides vital insights into the user's daily life. One such key insight is the people whom the user has come across/interacted with during regular life. This can be obtained... Read More about An empirical approach for automatic face clustering on personal lifelogging images.

Towards Accurate Predictions of Customer Purchasing Patterns (2017)
Presentation / Conference Contribution
Valero-Fernandez, R., Collins, D. J., Lam, K., Rigby, C., & Bailey, J. (2017, August). Towards Accurate Predictions of Customer Purchasing Patterns. Presented at 2017 IEEE International Conference on Computer and Information Technology (CIT), Helsinki, Finland

A range of algorithms was used to classify online retail customers of a UK company using historical transaction data. The predictive capabilities of the classifiers were assessed using linear regression, Lasso and regression trees. Unlike most relate... Read More about Towards Accurate Predictions of Customer Purchasing Patterns.

Spontaneous mutation rate is a plastic trait associated with population density across domains of life. (2017)
Journal Article
Aston, E., McBain, A., Knight, C., Krašovec, R., Richards, H., Hatcher, C., Faulkner, K., Belavkin, R., Channon, A., & Gifford, D. (2017). Spontaneous mutation rate is a plastic trait associated with population density across domains of life. PLoS Biology, e2002731 - ?. https://doi.org/10.1371/journal.pbio.2002731

Rates of random, spontaneous mutation can vary plastically, dependent upon the environment. Such plasticity affects evolutionary trajectories and may be adaptive. We recently identified an inverse plastic association between mutation rate and populat... Read More about Spontaneous mutation rate is a plastic trait associated with population density across domains of life..

Towards Accurate Predictions of Customer Purchasing Patterns (2017)
Presentation / Conference Contribution
Valero-Fernandez, R., Collins, D. J., Lam, K., Rigby, C., & Bailey, J. (2017, August). Towards Accurate Predictions of Customer Purchasing Patterns. Presented at IEEE Computer and Information Technology 2017, Helsinki

range of algorithms was used to classify online retail customers of a UK company using historical transaction data. The predictive capabilities of the classifiers were assessed using linear regression, Lasso and regression trees. Unlike most related... Read More about Towards Accurate Predictions of Customer Purchasing Patterns.

Asymptotic analysis of solutions to transmission problems in solids with many inclusions (2017)
Journal Article
Nieves. (2017). Asymptotic analysis of solutions to transmission problems in solids with many inclusions. SIAM Journal on Applied Mathematics, 1417 - 1443. https://doi.org/10.1137/16M1102586

We construct an asymptotic approximation to the solution of a transmission problem for a body containing a region occupied by many small inclusions. The cluster of inclusions is characterized by two small parameters that determine the nominal diamete... Read More about Asymptotic analysis of solutions to transmission problems in solids with many inclusions.

Locally Excited State - Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes (2017)
Journal Article
(2017). Locally Excited State - Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes. Chemistry - A European Journal, 14639-14649. https://doi.org/10.1002/chem.201703366

A selection of NIR-optically responsive neuron probes was produced comprising of a donor julolidyl group connected to a BODIPY core and several different styryl and vinylpyridinyl derived acceptor moieties. The strength of the donor–acceptor interact... Read More about Locally Excited State - Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes.

A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods (2017)
Presentation / Conference Contribution
Al-Said Ahmad, A., Brereton, O., & Andras, P. (2017, July). A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods

Context: Software has become more complicated, dynamic, and asynchronous than ever, making testing more challenging. With the increasing interest in the development of cloud computing, and increasing demand for cloud-based services, it has become ess... Read More about A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods.

Intrinsic flame instabilities in combustors: Analytic description of a 1-D resonator model (2017)
Journal Article
Kanta Mukherjee, N., & Shrira, V. (2017). Intrinsic flame instabilities in combustors: Analytic description of a 1-D resonator model. Combustion and Flame, 185, 188 -209. https://doi.org/10.1016/j.combustflame.2017.07.012

The study is concerned with theoretical examination of thermo-acoustic instabilities in combustors and focuses on recently discovered ‘flame intrinsic modes’. These modes differ qualitatively from the acoustic modes in a combustor. Although these fla... Read More about Intrinsic flame instabilities in combustors: Analytic description of a 1-D resonator model.

Standard Enabled Model Generator for Genetic Circuit Design (2017)
Presentation / Conference
Myers, C., Wipat, A., Misirli, G., Nguyen, T., & McLaughlin, J. (2017, August). Standard Enabled Model Generator for Genetic Circuit Design. Presented at 9th International Workshop on Bio-Design Automation, Pittsburgh

A robust approach for analysing dispersion of elastic waves in an orthotropic cylindrical shell (2017)
Journal Article
Kaplunov. (2017). A robust approach for analysing dispersion of elastic waves in an orthotropic cylindrical shell. Journal of Sound and Vibration, 23 - 35. https://doi.org/10.1016/j.jsv.2017.04.028

Dispersion of elastic waves in a thin orthotropic cylindrical shell is considered, within the framework of classical 2D Kirchhoff-Love theory. In contrast to direct multi-parametric analysis of the lowest propagating modes, an alternative robust appr... Read More about A robust approach for analysing dispersion of elastic waves in an orthotropic cylindrical shell.

Learning cognitive manifolds of faces (2017)
Presentation / Conference Contribution
Li, L., Mandal, B., Tan, C., & Lim, J.-H. (2017, August). Learning cognitive manifolds of faces. Presented at 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP), Singapore

Inspired by the studies in psychology and neuroscience, we propose a computational model of cognitive face representation that mimics the mechanism of human face perception. We propose to learn two separate manifolds for facial identity and facial ex... Read More about Learning cognitive manifolds of faces.

A systematic analysis of random forest based social media spam classification (2017)
Book Chapter
(2017). A systematic analysis of random forest based social media spam classification. In Network and System Security. NSS 2017 (427-438)

Recently random forest classification became a popular choice machine learning applications aimed to detect spam content in online social networks. In this paper, we report a systematic analysis of random forest classification for this purpose. We as... Read More about A systematic analysis of random forest based social media spam classification.