Improvement of Outdoor Signal Strength Prediction in UHF Band by Artificial Neural Network

Gilbert P. Ferreira; Leni J. Matos; Joao M. M. Silva

doi:10.1109/tap.2016.2617379

Improvement of Outdoor Signal Strength Prediction in UHF Band by Artificial Neural Network

IEEE Transactions on Antennas and Propagation ◽

10.1109/tap.2016.2617379 ◽

2016 ◽

Vol 64 (12) ◽

pp. 5404-5410 ◽

Cited By ~ 10

Author(s):

Gilbert P. Ferreira ◽

Leni J. Matos ◽

Joao M. M. Silva

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Signal Strength ◽

Strength Prediction ◽

Artificial Neural ◽

Uhf Band

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Artificial Neural Network (ANN)-Based Residual Strength Prediction of Carbon Fibre Reinforced Composites (CFRCs) After Impact

Applied Composite Materials ◽

10.1007/s10443-021-09891-1 ◽

2021 ◽

Author(s):

Bin Yang ◽

Kunkun Fu ◽

Juhyeong Lee ◽

Yan Li

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Fibre ◽

Residual Strength ◽

Strength Prediction ◽

Reinforced Composites ◽

Artificial Neural ◽

Artificial Neural Network Ann ◽

Fibre Reinforced Composites

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Artificial neural network based modelling approach for strength prediction of concrete incorporating agricultural and construction wastes

Construction and Building Materials ◽

10.1016/j.conbuildmat.2018.09.097 ◽

2018 ◽

Vol 190 ◽

pp. 517-525 ◽

Cited By ~ 30

Author(s):

Mulusew Aderaw Getahun ◽

Stanley Muse Shitote ◽

Zachary C. Abiero Gariy

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Strength Prediction ◽

Artificial Neural ◽

Modelling Approach

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Artificial Neural Network Model for Strength Prediction of Ultra-High-Performance Concrete

ACI Materials Journal ◽

10.14359/51732710 ◽

2021 ◽

Vol 118 (4) ◽

Author(s):

Joaquín Abellán-García

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

High Performance ◽

High Performance Concrete ◽

Strength Prediction ◽

Ultra High Performance Concrete ◽

Artificial Neural

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Artificial neural network model for the strength prediction of fully restrained RC slabs subjected to membrane action

Computers and Concrete ◽

10.12989/cac.2006.3.6.439 ◽

2006 ◽

Vol 3 (6) ◽

pp. 439-454 ◽

Cited By ~ 7

Author(s):

Khandaker M.A. Hossain ◽

Mohamed Lachemi ◽

Said M. Easa

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Strength Prediction ◽

Membrane Action ◽

Artificial Neural ◽

Rc Slabs

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Tensile strength prediction of dissimilar friction stir-welded AA6351–AA5083 using artificial neural network technique

Journal of the Brazilian Society of Mechanical Sciences and Engineering ◽

10.1007/s40430-015-0483-5 ◽

2015 ◽

Vol 38 (6) ◽

pp. 1647-1657 ◽

Cited By ~ 15

Author(s):

R. Palanivel ◽

R. F. Laubscher ◽

I. Dinaharan ◽

N. Murugan

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Tensile Strength ◽

Strength Prediction ◽

Friction Stir ◽

Artificial Neural

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Sinter Strength Prediction Based on Artificial Neural Network Technology

2009 International Conference on Information Engineering and Computer Science ◽

10.1109/iciecs.2009.5363982 ◽

2009 ◽

Cited By ~ 1

Author(s):

Wei-ping Xu ◽

Quan Wu ◽

Chun Xiao

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Strength Prediction ◽

Network Technology ◽

Sinter Strength ◽

Artificial Neural ◽

Neural Network Technology

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Artificial Neural Network for Wireless Field Strength Prediction under Power lines in Taiwan Railway

2007 IEEE Lausanne Power Tech ◽

10.1109/pct.2007.4538656 ◽

2007 ◽

Cited By ~ 2

Author(s):

Ting-Chia Ou ◽

Whei-Min Lin ◽

Chin-Der Yang ◽

Rong-Ching Wu ◽

Chien-Hsiang Huang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Field Strength ◽

Power Lines ◽

Strength Prediction ◽

Artificial Neural

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Failure strength prediction of glass/epoxy composite laminates from acoustic emission parameters using artificial neural network

Applied Acoustics ◽

10.1016/j.apacoust.2016.08.013 ◽

2017 ◽

Vol 115 ◽

pp. 32-41 ◽

Cited By ~ 37

Author(s):

C. Suresh Kumar ◽

V. Arumugam ◽

R. Sengottuvelusamy ◽

S. Srinivasan ◽

H.N. Dhakal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Acoustic Emission ◽

Composite Laminates ◽

Epoxy Composite ◽

Strength Prediction ◽

Failure Strength ◽

Artificial Neural

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Sensitivity Analysis and Strength Prediction of Fly Ash — Based Geopolymer Concrete with Polyethylene Terephtalate using Artificial Neural Network

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) ◽

10.1109/hnicem51456.2020.9400076 ◽

2020 ◽

Author(s):

Dante L. Silva ◽

Kevin Lawrence M. de Jesus ◽

Bernard S. Villaverde ◽

Crisialine Joy C. Cahilig ◽

Jan Piola L. Dela Cruz ◽

...

Keyword(s):

Neural Network ◽

Sensitivity Analysis ◽

Artificial Neural Network ◽

Fly Ash ◽

Strength Prediction ◽

Geopolymer Concrete ◽

Polyethylene Terephtalate ◽

Artificial Neural

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Received signal strength computation for broadcast services using artificial neural network

2017 13th International Conference on Electronics, Computer and Computation (ICECCO) ◽

10.1109/icecco.2017.8333322 ◽

2017 ◽

Author(s):

K. C. Igwe ◽

O. D. Oyedum ◽

M. O. Ajewole ◽

A. M. Aibinu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Signal Strength ◽

Received Signal Strength ◽

Artificial Neural

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