ORCID Profile
0000-0001-7157-0236
Current Organisations
Purdue University
,
University of York
,
Swinburne University of Technology
,
Indian Institute of Technology Ropar
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Theoretical Physics | Mathematical Physics | Condensed Matter Physics—Electronic And Magnetic Properties; | Condensed Matter Physics—Other
Publisher: Elsevier BV
Date: 08-2014
Publisher: SAGE Publications
Date: 2016
DOI: 10.3141/2595-10
Abstract: With urban population rapidly growing, traffic congestion is becoming a major problem. In this paper, a framework is proposed for identifying the spatial congested partitions in a dynamic urban road network and for monitoring the temporal changes in their locations and structure. To that end, a given road network is transformed into a suitable graph representation, an initial partitioning based on a spectral clustering approach is performed, and then the partitions continue to be updated incrementally on the basis of the newly obtained traffic data at each new time point. The congested partitions are then identified on the basis of traffic measures (e.g., volume and green time utilization) available from the traffic signal control system. Experiments with the proposed method are conducted with real historical traffic data collected from the 493 signalized traffic sites in Melbourne, Victoria, Australia, with a total of 1,444 road segments and 581 intersection points. Experimental results show that large-scale urban traffic networks undergo many rapid but regular and frequent traffic patterns, which often go unnoticed by the traffic network operators. Tracking these kinds of changes in real time by means of the proposed framework can improve the reaction time of the traffic management team and result in less congestion.
Publisher: Springer Science and Business Media LLC
Date: 12-08-2020
Publisher: ACM
Date: 07-12-2021
Publisher: Elsevier BV
Date: 03-2022
DOI: 10.1016/J.BODYIM.2021.12.007
Abstract: Progress towards understanding how social media impacts body image hinges on the use of appropriate measurement tools and methodologies. This review provides an overview of common (qualitative, self-report survey, lab-based experiments) and emerging (momentary assessment, computational) methodological approaches to the exploration of the impact of social media on body image. The potential of these methodologies is detailed, with ex les illustrating current use as well as opportunities for expansion. A key theme from our review is that each methodology has provided insights for the body image research field, yet is insufficient in isolation to fully capture the nuance and complexity of social media experiences. Thus, in consideration of gaps in methodology, we emphasise the need for big picture thinking that leverages and combines the strengths of each of these methodologies to yield a more comprehensive, nuanced, and robust picture of the positive and negative impacts of social media.
Publisher: IGI Global
Date: 04-2013
Abstract: Tag clouds have become an effective tool to quickly perceive the most prominent terms embedded within textual data. Tag clouds help grasp the main theme of a corpus without exploring the pile of documents. However, the effectiveness of tag clouds to conceptualize text corpora is directly proportional to the quality of the tags. In this paper, the authors propose a keyphrase-based tag cloud generation framework. In contrast to existing tag cloud generation systems that use single words as tags and their frequency counts to determine the font size of the tags, the proposed framework identifies feasible keyphrases and uses them as tags. The font-size of a keyphrase is determined as a function of its relevance weight. Instead of using partial or full parsing, which is inefficient for lengthy sentences and inaccurate for the sentences that do not follow proper grammatical structure, the proposed method applies n-gram techniques followed by various heuristics-based refinements to identify candidate phrases from text documents. A rich set of lexical and semantic features are identified to characterize the candidate phrases and determine their keyphraseness and relevance weights. The authors also propose a font-size determination function, which utilizes the relevance weights of the keyphrases to determine their relative font size for tag cloud visualization. The efficacy of the proposed framework is established through experimentation and its comparison with the existing state-of-the-art tag cloud generation methods.
Publisher: Elsevier BV
Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: Elsevier BV
Date: 12-2014
Publisher: Elsevier BV
Date: 05-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: ACM
Date: 24-10-2016
Publisher: ACM
Date: 24-10-2016
Publisher: IEEE
Date: 07-2011
Publisher: Springer International Publishing
Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: ACM
Date: 30-04-2023
Publisher: Springer International Publishing
Date: 2017
Publisher: ACM
Date: 03-11-2019
Publisher: ACM
Date: 13-06-2012
Publisher: Elsevier BV
Date: 10-2022
DOI: 10.1016/J.WNEU.2022.07.087
Abstract: Cerebrospinal fluid tap test is a common procedure to predict the efficacy of ventriculoperitoneal shunt for idiopathic normal pressure hydrocephalus. Objective tests after cerebrospinal fluid tap test are used to establish the surgical indication, but subjective improvements may also be important in selection of surgical candidates. The aim of this study was to evaluate surgical outcomes of patients with ventriculoperitoneal shunt for idiopathic normal pressure hydrocephalus, comparing patients showing objective improvement with patients improving only on subjective assessments. In this retrospective analysis, patients were ided into 2 groups: group 1 included patients with improvement on objective evaluation after cerebrospinal fluid tap test group 2 included patients who showed only subjective improvement. The surgical outcomes of the 2 groups were compared. Of 28 included patients, 17 were objective responders (group 1), and 11 were subjective responders (group 2). Clinical and radiological characteristics were similar. The only significant difference was the baseline Berg Balance Scale, which was lower in objective responders (P = 0.0015). At 3 months after surgery and at last follow-up, there was no difference in surgical outcomes between the 2 groups. However, in the group of subjective responders, a continuous improvement for incontinence and gait was more frequently observed (P = 0.04 and P < 0.001, respectively). Surgical outcomes after ventriculoperitoneal shunt were similar between the 2 groups, with a more favorable trend in terms of symptom improvement for subjective responders. Subjective assessment seems to be an important factor to consider in preoperative evaluation.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Publisher: Elsevier BV
Date: 03-2023
Publisher: Wiley
Date: 05-2016
DOI: 10.1111/CGF.12820
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: ACM
Date: 05-12-2011
Publisher: Elsevier BV
Date: 03-2017
Publisher: ACM
Date: 27-06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: Frontiers Media SA
Date: 15-05-2017
Publisher: IEEE
Date: 11-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2015
Publisher: No publisher found
Date: 2014
Publisher: IEEE
Date: 12-2012
Publisher: ACM
Date: 25-06-2012
Publisher: IEEE
Date: 06-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2021
Publisher: Springer International Publishing
Date: 2020
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2008
End Date: 06-2014
Amount: $826,000.00
Funder: Australian Research Council
View Funded Activity