Computational Intelligence

Machine Learning: A Science Mapping Analysis


Machine learning is becoming increasingly important for companies and the scientific community. It allows us to generate solutions for several problems faced by society. In this study, we perform a science mapping analysis on the machine learning research, in order to provide an overview of the scientific work during the last decade in this area and to show trends that could be the basis for future developments in the field of computer science. This study was carried out using the CiteSpace and SciMAT tools based on results from Scopus and Clarivate Web of Science.

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Citation Author(s):
Submitted by:
Juan Rincon-Patino
Last updated:
Fri, 04/20/2018 - 10:10
DOI:
10.21227/H2337Z
Data Format:
 
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[1] , "Machine Learning: A Science Mapping Analysis", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2337Z. Accessed: Apr. 21, 2018.
@data{h2337z-18,
doi = {10.21227/H2337Z},
url = {http://dx.doi.org/10.21227/H2337Z},
author = { },
publisher = {IEEE Dataport},
title = {Machine Learning: A Science Mapping Analysis},
year = {2018} }
TY - DATA
T1 - Machine Learning: A Science Mapping Analysis
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2337Z
ER -
. (2018). Machine Learning: A Science Mapping Analysis. IEEE Dataport. http://dx.doi.org/10.21227/H2337Z
, 2018. Machine Learning: A Science Mapping Analysis. Available at: http://dx.doi.org/10.21227/H2337Z.
. (2018). "Machine Learning: A Science Mapping Analysis." Web.
1. . Machine Learning: A Science Mapping Analysis [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2337Z
. "Machine Learning: A Science Mapping Analysis." doi: 10.21227/H2337Z

Phase Characterization of the Nonuniform Reflect arrays


A microstrip reflectarray antenna is a hybrid design of a reflector antenna and a planar phased array antenna where a feed element illuminates reflecting surface, which can be either flat, slightly curved or a non-uniform plane in order to convert a spherical wave produced by its feed into a plane wave. On the reflecting side of the surface, there might be a series of the printed patch, dipole, loop elements or just a dielectric layer without any power division network.

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Dataset Details

Citation Author(s):
Submitted by:
peyman mahouti
Last updated:
Fri, 03/30/2018 - 13:22
DOI:
10.21227/H2BW8F
Data Format:
 
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[1] , "Phase Characterization of the Nonuniform Reflect arrays", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2BW8F. Accessed: Apr. 21, 2018.
@data{h2bw8f-18,
doi = {10.21227/H2BW8F},
url = {http://dx.doi.org/10.21227/H2BW8F},
author = { },
publisher = {IEEE Dataport},
title = {Phase Characterization of the Nonuniform Reflect arrays},
year = {2018} }
TY - DATA
T1 - Phase Characterization of the Nonuniform Reflect arrays
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2BW8F
ER -
. (2018). Phase Characterization of the Nonuniform Reflect arrays. IEEE Dataport. http://dx.doi.org/10.21227/H2BW8F
, 2018. Phase Characterization of the Nonuniform Reflect arrays. Available at: http://dx.doi.org/10.21227/H2BW8F.
. (2018). "Phase Characterization of the Nonuniform Reflect arrays." Web.
1. . Phase Characterization of the Nonuniform Reflect arrays [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2BW8F
. "Phase Characterization of the Nonuniform Reflect arrays." doi: 10.21227/H2BW8F

DataSet for paper


The dataset provides data for the article " LSTM-based Argument Recommendation for Non-API Methods"

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Dataset Details

Citation Author(s):
Submitted by:
Guangjie Li
Last updated:
Thu, 03/29/2018 - 04:49
DOI:
10.21227/H24D47
Data Format:
 
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[1] , "DataSet for paper", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H24D47. Accessed: Apr. 21, 2018.
@data{h24d47-18,
doi = {10.21227/H24D47},
url = {http://dx.doi.org/10.21227/H24D47},
author = { },
publisher = {IEEE Dataport},
title = {DataSet for paper},
year = {2018} }
TY - DATA
T1 - DataSet for paper
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H24D47
ER -
. (2018). DataSet for paper. IEEE Dataport. http://dx.doi.org/10.21227/H24D47
, 2018. DataSet for paper. Available at: http://dx.doi.org/10.21227/H24D47.
. (2018). "DataSet for paper." Web.
1. . DataSet for paper [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H24D47
. "DataSet for paper." doi: 10.21227/H24D47