Guest Editorial: Special Section on Computational Intelligence in Antennas and Propagation: Emerging Trends and Applications

Sotirios K. Goudos; Dimitris E. Anagnostou; Zikri Bayraktar; Sawyer D. Campbell; Paolo Rocca; Douglas H. Werner

doi:10.1109/OJAP.2021.3057997

Guest Editorial: Special Section on Computational Intelligence in Antennas and Propagation: Emerging Trends and Applications

Sotirios K. Goudos
, Dimitris E. Anagnostou
, Zikri Bayraktar
, Sawyer D. Campbell
, Paolo Rocca
, Douglas H. Werner

Research output: Contribution to journal › Editorial › peer-review

10 Citations (Scopus)

97 Downloads (Pure)

Abstract

Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. Machine Learning (ML), Fuzzy Inference Systems (FIS), and Evolutionary Computation (EC) have historically been the three principal pillars of CI. The use of CI has experienced an increasing impact on solving complex problems in antennas and propagation (AP).

Original language	English
Pages (from-to)	224-229
Number of pages	6
Journal	IEEE Open Journal of Antennas and Propagation
Volume	2
DOIs	https://doi.org/10.1109/OJAP.2021.3057997
Publication status	Published - 2021

ASJC Scopus subject areas

Electrical and Electronic Engineering

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title = "Guest Editorial: Special Section on Computational Intelligence in Antennas and Propagation: Emerging Trends and Applications",

abstract = "Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. Machine Learning (ML), Fuzzy Inference Systems (FIS), and Evolutionary Computation (EC) have historically been the three principal pillars of CI. The use of CI has experienced an increasing impact on solving complex problems in antennas and propagation (AP).",

author = "Goudos, \{Sotirios K.\} and Anagnostou, \{Dimitris E.\} and Zikri Bayraktar and Campbell, \{Sawyer D.\} and Paolo Rocca and Werner, \{Douglas H.\}",

year = "2021",

doi = "10.1109/OJAP.2021.3057997",

language = "English",

volume = "2",

pages = "224--229",

journal = "IEEE Open Journal of Antennas and Propagation",

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publisher = "IEEE",

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T2 - Special Section on Computational Intelligence in Antennas and Propagation: Emerging Trends and Applications

AU - Goudos, Sotirios K.

AU - Anagnostou, Dimitris E.

AU - Bayraktar, Zikri

AU - Campbell, Sawyer D.

AU - Rocca, Paolo

AU - Werner, Douglas H.

PY - 2021

Y1 - 2021

N2 - Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. Machine Learning (ML), Fuzzy Inference Systems (FIS), and Evolutionary Computation (EC) have historically been the three principal pillars of CI. The use of CI has experienced an increasing impact on solving complex problems in antennas and propagation (AP).

AB - Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. Machine Learning (ML), Fuzzy Inference Systems (FIS), and Evolutionary Computation (EC) have historically been the three principal pillars of CI. The use of CI has experienced an increasing impact on solving complex problems in antennas and propagation (AP).

UR - https://www.scopus.com/pages/publications/85115903989

U2 - 10.1109/OJAP.2021.3057997

DO - 10.1109/OJAP.2021.3057997

M3 - Editorial

AN - SCOPUS:85115903989

SN - 2637-6431

VL - 2

SP - 224

EP - 229

JO - IEEE Open Journal of Antennas and Propagation

JF - IEEE Open Journal of Antennas and Propagation

ER -

Guest Editorial: Special Section on Computational Intelligence in Antennas and Propagation: Emerging Trends and Applications

Abstract

ASJC Scopus subject areas

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