Search Results - "HARWOOD, Aaron"

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  1. 1

    Real-time spatio-temporal event detection on geotagged social media by George, Yasmeen, Karunasekera, Shanika, Harwood, Aaron, Lim, Kwan Hui

    Published in Journal of big data (24-06-2021)
    “…A key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area…”
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    Journal Article
  2. 2

    A Systematic Review of Density Grid-Based Clustering for Data Streams by Tareq, Mustafa, Sundararajan, Elankovan A, Harwood, Aaron, Bakar, Azuraliza Abu

    Published in IEEE access (2022)
    “…Various applications, such as electronic business, satellite remote sensing, intrusion discovery, and network traffic monitoring, generate large unbounded data…”
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    Journal Article
  3. 3

    Using a distributed quadtree index in peer-to-peer networks by TANIN, Egemen, HARWOOD, Aaron, SAMET, Hanan

    Published in The VLDB journal (01-04-2007)
    “…Peer-to-peer (P2P) networks have become a powerful means for online data exchange. Currently, users are primarily utilizing these networks to perform…”
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    Journal Article
  4. 4

    A clustering-based topic model using word networks and word embeddings by Mu, Wenchuan, Lim, Kwan Hui, Liu, Junhua, Karunasekera, Shanika, Falzon, Lucia, Harwood, Aaron

    Published in Journal of big data (11-04-2022)
    “…Online social networking services like Twitter are frequently used for discussions on numerous topics of interest, which range from mainstream and popular…”
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    Journal Article
  5. 5

    A comparison of cytology and fluorescence in situ hybridization for the detection of lung cancer in bronchoscopic specimens by Halling, Kevin C, Rickman, Otis B, Kipp, Benjamin R, Harwood, Aaron R, Doerr, Clinton H, Jett, James R

    Published in Chest (01-09-2006)
    “…To determine the relative sensitivity and specificity of cytology and fluorescence in situ hybridization (FISH) for the detection of lung cancer in…”
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    Journal Article
  6. 6

    Monitoring intravesical therapy for superficial bladder cancer using fluorescence in situ hybridization by Kipp, Benjamin R, Karnes, R Jeffrey, Brankley, Shannon M, Harwood, Aaron R, Pankratz, V Shane, Sebo, Thomas J, Blute, Michael M, Lieber, Michael M, Zincke, Horst, Halling, Kevin C

    Published in The Journal of urology (01-02-2005)
    “…We evaluated fluorescence in situ hybridization (FISH) for assessing the response to therapy in patients with superficial bladder cancer receiving bacillus…”
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    Journal Article
  7. 7

    The Development of a Fluorescence in Situ Hybridization Assay for the Detection of Dysplasia and Adenocarcinoma in Barrett's Esophagus by Brankley, Shannon M., Wang, Kenneth K., Harwood, Aaron R., Miller, Dylan V., Legator, Mona S., Lutzke, Lori S., Kipp, Benjamin R., Morrison, Larry E., Halling, Kevin C.

    Published in The Journal of molecular diagnostics : JMD (01-05-2006)
    “…The goal of this study was to identify a set of fluorescence in situ hybridization probes for the detection of dysplasia and adenocarcinoma in patients with…”
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    Journal Article
  8. 8

    Twitter conversations predict the daily confirmed COVID-19 cases by Lamsal, Rabindra, Harwood, Aaron, Read, Maria Rodriguez

    Published in Applied soft computing (01-11-2022)
    “…As of writing this paper, COVID-19 (Coronavirus disease 2019) has spread to more than 220 countries and territories. Following the outbreak, the pandemic’s…”
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    Journal Article
  9. 9

    A utilization model for optimization of checkpoint intervals in distributed stream processing systems by Jayasekara, Sachini, Harwood, Aaron, Karunasekera, Shanika

    Published in Future generation computer systems (01-09-2020)
    “…State-of-the-art distributed stream processing systems such as Apache Flink and Storm have recently included checkpointing to provide fault-tolerance for…”
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    Journal Article
  10. 10

    Optimizing checkpoint‐based fault‐tolerance in distributed stream processing systems: Theory to practice by Jayasekara, Sachini, Karunasekera, Shanika, Harwood, Aaron

    Published in Software, practice & experience (01-01-2022)
    “…Fault‐tolerance is an essential part of a stream processing system that guarantees data analysis could continue even after failures. State‐of‐the‐art…”
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    Journal Article
  11. 11

    Utility of subtelomeric fluorescent DNA probes for detection of chromosome anomalies in 425 patients by Jalal, Syed M., Harwood, Aaron R., Sekhon, Gurbax S., Lorentz, Cindy Pham, Ketterling, Rhett P., Babovic-Vuksanovic, Dusica, Meyer, Reid G., Ensenauer, Regina, Anderson, Marvin H., Michels, Virginia V.

    Published in Genetics in medicine (01-01-2003)
    “…Purpose: A complete set of subtelomeric fluorescent DNA probes, except the acrocentric p-arms, was developed in 1996, was optimized in 1998, and is…”
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    Journal Article
  12. 12

    Distributed stream clustering using micro-clusters on Apache Storm by Karunaratne, Pasan, Karunasekera, Shanika, Harwood, Aaron

    “…The recent need to extract real-time insights from data has driven the need for machine learning algorithms that can operate on data streams. Given the current…”
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    Journal Article
  13. 13

    An evaluation of ThinPrep UroCyte filters for the preparation of slides for fluorescence in situ hybridization by Kipp, Benjamin R., Campion, Michael B., Coffman, Erin, Smith, Arthur, Tomisek, John D., Browne, Gerry G., Panella, Jeffrey R., Desai, Rutuja, Harwood, Aaron R., Halling, Kevin C.

    Published in Diagnostic cytopathology (01-07-2006)
    “…The purpose of this study was to assess the performance of ThinPrep® UroCyte™ filters, which were designed specifically for the preparation of slides for…”
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    Journal Article
  14. 14

    ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments by Amarasinghe, Gayashan, de Assunção, Marcos D., Harwood, Aaron, Karunasekera, Shanika

    Published in Future generation computer systems (01-10-2020)
    “…The objective of Internet of Things (IoT) is ubiquitous computing. As a result many computing enabled, connected devices are deployed in various environments,…”
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    Journal Article
  15. 15

    Optimal placement for repair-efficient erasure codes in geo-diverse storage centres by Mohan, Lakshmi J., Rajawat, Ketan, Parampalli, Udaya, Harwood, Aaron

    “…Erasure codes are increasingly being used by storage providers to reduce the cost of reliably storing large volumes of data. As compared to the default…”
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    Journal Article
  16. 16

    A Data Stream Processing Optimisation Framework for Edge Computing Applications by Amarasinghe, Gayashan, de Assuncao, Marcos D., Harwood, Aaron, Karunasekera, Shanika

    “…Data Stream Processing (DSP) is a widely used programming paradigm to process an unbounded event stream. Often, DSP frameworks are deployed on the cloud with a…”
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    Conference Proceeding
  17. 17

    Geometry of interest (GOI): spatio-temporal destination extraction and partitioning in GPS trajectory data by Mousavi, Seyed Morteza, Harwood, Aaron, Karunasekera, Shanika, Maghrebi, Mojtaba

    “…Nowadays large amounts of GPS trajectory data is continuously collected by GPS-enabled devices such as vehicles navigation systems and mobile phones. GPS…”
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    Journal Article
  18. 18

    Improving performance in delay/disruption tolerant networks through passive relay points by Shahbazi, Saeed, Karunasekera, Shanika, Harwood, Aaron

    Published in Wireless networks (2012)
    “…In this paper, we study the case of a limited number of mobile nodes trying to communicate in a large geographic area, forming a delay/disruption tolerant…”
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    Journal Article
  19. 19

    Peer-to-peer-based resource discovery in global grids: a tutorial by Ranjan, Rajiv, Harwood, Aaron, Buyya, Rajkumar

    Published in IEEE Communications surveys and tutorials (01-01-2008)
    “…An efficient resource discovery mechanism is one of the fundamental requirements for grid computing systems, as it aids in resource management and scheduling…”
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    Journal Article
  20. 20

    Enhancing the quality of geometries of interest (GOIs) extracted from GPS trajectory data using spatio-temporal data aggregation and outlier detection by Mousavi, Seyed Morteza, Harwood, Aaron, Karunasekera, Shanika, Maghrebi, Mojtaba

    “…One of the initial phases in the applications dealing with data processing on GPS trajectory data is to generate the time-stamped Sequence of Visited Locations…”
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    Journal Article