Outputs (66)

Contextual sentiment analysis for social media genres. (2016)
Journal Article
MUHAMMAD, A., WIRATUNGA, N. and LOTHIAN, R. 2016. Contextual sentiment analysis for social media genres. Knowledge-based systems [online], 108, pages 92-101. Available from: https://doi.org/10.1016/j.knosys.2016.05.032

The lexicon-based approaches to opinion mining involve the extraction of term polarities from sentiment lexicons and the aggregation of such scores to predict the overall sentiment of a piece of text. It is typically preferred where sentiment labelle... Read More about Contextual sentiment analysis for social media genres..

Optimal resource allocation in wireless-powered OFDM relay networks. (2016)
Journal Article
HUANG, G. and TU, W. 2016. Optimal resource allocation in wireless-powered OFDM relay networks. Computer networks [online], 104, pages 94-107. Available from: https://doi.org/10.1016/j.comnet.2016.05.006

This paper studies resource allocation in wireless-powered orthogonal-frequency-division multiplexing (OFDM) amplify-and-forward (AF) or decode-and-forward (DF) relay networks with time-switching (TS) based relaying. Our objective is to maximize end-... Read More about Optimal resource allocation in wireless-powered OFDM relay networks..

Efficient wireless multimedia multicast in multi-rate multi-channel mesh networks. (2016)
Journal Article
TU, W. 2016. Efficient wireless multimedia multicast in multi-rate multi-channel mesh networks. IEEE transactions on signal and information processing over networks [online], 2(3), 376-390. Available from: https://doi.org/10.1109/TSIPN.2016.2550806

Devices in wireless mesh networks can operate on multiple channels (MC) and automatically adjust their transmission rates for the occupied channels. This paper shows how to improve performance-guaranteed multicasting transmission coverage for wireles... Read More about Efficient wireless multimedia multicast in multi-rate multi-channel mesh networks..

Clustering and nearest neighbour based classification approach for mobile activity recognition. (2016)
Journal Article
BASHIR, S.A., DOOLAN, D.C. and PETROVSKI, A. 2016. Clustering and nearest neighbour based classification approach for mobile activity recognition. Journal of mobile multimedia [online], 12(1-2), pages 110-124. Available from: https://journals.riverpublishers.com/index.php/JMM/article/view/4487

We present a hybridized algorithm based on clustering and nearest neighbour classifier for mobile activity recognition. The algorithm transforms a training dataset into a more compact and reduced representative set that lessens the computational cost... Read More about Clustering and nearest neighbour based classification approach for mobile activity recognition..

A review of air-fuel mixing and alternative methods in scramjets and scramjet-like engines. (2016)
Journal Article
MACLEOD, C. and GERRARD, C.E. 2016. A review of air-fuel mixing and alternative methods in scramjets and scramjet-like engines. Journal of the British Interplanetary Society [online], 69(4), pages 116-126. Available from: http://www.jbis.org.uk/paper/2016.69.116

This paper reviews work on two aspects of scramjet and similar ducted hypersonic propulsion. The first of these is air-fuel mixing techniques - the problem of mixing is considered the most intractable in scramjet design. The second aspect is the use... Read More about A review of air-fuel mixing and alternative methods in scramjets and scramjet-like engines..

Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. (2016)
Journal Article
MORENO-GARCÍA, C.F., ACEVES-MARTINS, M. and SERRATOSA, F. 2016. Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. Computación y sistemas [online], 20(1), pages 7-17. Available from: https://doi.org/10.13053/CyS-20-1-2360

When trying to synthesize information from multiple sources and perform a statistical review to compare them, particularly in the medical research field, several statistical tools are available, most common are the systematic review and the meta-anal... Read More about Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research..

Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: A systematic review and meta-analysis. (2016)
Journal Article
ACEVES-MARTINS, M., LLAURDÓ, E., TARRO, L., MORENO-GARCÍA, C.F., TRUJILLO ESCOBAR, T.G., SOLÁ, R. and GIRALT, M. 2016. Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: a systematic review and meta-analysis. Nutrition reviews [online], 74(5), pages 337-351. Available from: https://doi.org/10.1093/nutrit/nuw004

Context: The use of social marketing to modify lifestyle choices could be helpful in reducing youth obesity. Some or all of the 8 domains of the National Social Marketing Centre's social marketing benchmark criteria (SMBC) are often used but not alwa... Read More about Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: A systematic review and meta-analysis..

Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. (2016)
Journal Article
RAHIM, S.S., PALADE, V., SHUTTLEWORTH, J. and JAYNE, C. 2016. Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain informatics [online], 3(4), pages 249-267. Available from: https://doi.org/10.1007/s40708-016-0045-3

Digital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopathy diseases is necessary in order to ident... Read More about Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing..

(Re)presenting heritage: laser scanning and 3D visualisations for cultural resilience and community engagement. (2016)
Journal Article
TAIT, E., LAING, R., GRINNALL, A., BURNETT, S. and ISAACS, J. 2016. (Re)presenting heritage: laser scanning and 3D visualisations for cultural resilience and community engagement. Journal of information science [online], 42(3), pages 420-433. Available from: https://doi.org/10.1177/0165551516636306

Cultural heritage is increasingly being viewed as an economic asset for geographic areas who aim to capitalise in the surge in interest in local history and heritage tourism from members of the public. Digital technologies have developed that facilit... Read More about (Re)presenting heritage: laser scanning and 3D visualisations for cultural resilience and community engagement..

The effect of window length on accuracy of smartphone-based activity recognition. (2016)
Journal Article
BASHIR, S.A., DOOLAN, D.C. and PETROVSKI, A. 2016. The effect of window length on accuracy of smartphone-based activity recognition. IAENG international journal of computer science [online], 43(1), pages 126-136. Available from: http://www.iaeng.org/IJCS/issues_v43/issue_1/IJCS_43_1_15.pdf

One of the main approaches for personalization of activity recognition is the generation of the classification model from user annotated data on mobile itself. However, giving the resource constraints on such devices there is a need to examine the ef... Read More about The effect of window length on accuracy of smartphone-based activity recognition..