Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Radwan E. Abdel-Aal"'
Publikováno v:
Applied Soft Computing. 26:444-453
Graphical abstractDisplay Omitted HighlightsAnalyze a set of weak text reuse similarity metrics for paraphrase detection.Boost the performance of individual metrics using the abductive learning paradigm.Use decision-level fusion to build a committee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2e1d29d48020dde9194c53d6740a623
https://doi.org/10.1016/j.asoc.2014.10.021
https://doi.org/10.1016/j.asoc.2014.10.021
Autor:
R Smits, Mohamad Abdel-Aal, Simon Tait, Radwan E. Abdel-Aal, Mostafa Mohamed, K. De Gussem, Alma Schellart
Publikováno v:
Teesside University
A predictive modelling technique was employed to estimate wastewater temperatures in sewer pipes. The simplicity of abductive predictive models attracts large numbers of users due to their minimal computation time and limited number of measurable inp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::670fc8d074b347485e468e839bc6b9bd
https://doi.org/10.2166/wst.2014.398
https://doi.org/10.2166/wst.2014.398
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 17:455-469
Handwriting synthesis is the automatic generation of data that resemble natural handwriting. Although handwriting synthesis has recently gained increasing interest, the area still lacks a stand-alone review. This paper provides classifications for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eb6739dbf3367d27c1decc082f2293c
https://doi.org/10.1007/s10032-014-0231-x
https://doi.org/10.1007/s10032-014-0231-x
Publikováno v:
Cognitive Computation. 6:321-330
A novel method is presented for hand shape identification based on abductive machine learning. We developed several models and investigated their performance on raw hand shape data for 20 and 40 participants in the form of three different categories
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c166e55d2168bc77053f96aee5805a08
https://doi.org/10.1007/s12559-013-9241-0
https://doi.org/10.1007/s12559-013-9241-0
Publikováno v:
International Journal for Information Security Research. 2:202-210
Classification of Internet traffic as anomalous has re- mained an issue of concern for the network security re- search community in recent times. Advances in comput- ing performance, in terms of processing power and stor- age, have allowed the use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66625f8fce0c0782f092e31ce772981b
https://doi.org/10.20533/ijisr.2042.4639.2012.0025
https://doi.org/10.20533/ijisr.2042.4639.2012.0025
Publikováno v:
Atmospheric Environment. 59:398-407
In arid regions primary pollutants contribute to the increase of ozone levels, which cause negative effects on biotic health. This study investigates the use of abductive networks based on the group method data handling (GMDH) for ozone prediction. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dae50912b3bd0d3d1e236daa59dda652
https://doi.org/10.1016/j.atmosenv.2012.05.008
https://doi.org/10.1016/j.atmosenv.2012.05.008
Publikováno v:
Applied Soft Computing. 11:477-488
Unsolicited or spam email has recently become a major threat that can negatively impact the usability of electronic mail. Spam substantially wastes time and money for business users and network administrators, consumes network bandwidth and storage s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86a7bd25c6e45a2f675a750c3f18cc04
https://doi.org/10.1016/j.asoc.2009.12.007
https://doi.org/10.1016/j.asoc.2009.12.007
Publikováno v:
GEOPHYSICS. 75:P1-P9
Statistical methods, such as linear regression and neural networks, are commonly used to predict reservoir properties from seismic attributes. However, a huge number of attributes can be extracted from seismic data and an efficient method for selecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec314f3e6775bf173c75b0a76d003220
https://doi.org/10.1190/1.3298443
https://doi.org/10.1190/1.3298443
Publikováno v:
Renewable Energy. 34:1686-1699
Wind speed forecasts are important for the operation and maintenance of wind farms and their profitable integration into power grids, as well as many important applications in shipping, aviation, and the environment. Modern machine learning technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::258354b7e4e818412f3f5e4940fa9a7a
https://doi.org/10.1016/j.renene.2009.01.001
https://doi.org/10.1016/j.renene.2009.01.001
Publikováno v:
Neurocomputing. 72:1184-1197
Item ranking and selection plays a key role in constructing concise and informative educational tests. Traditional techniques based on the item response theory (IRT) have been used to automate this task, but they require model parameters to be determ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f96e23ddcb7ba66c954335f7b5bb0d23
https://doi.org/10.1016/j.neucom.2008.02.004
https://doi.org/10.1016/j.neucom.2008.02.004