A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz

Prediction Model ◽

Path Loss ◽

Empirical Models ◽

Model Based ◽

Loss Prediction ◽

Path Loss Prediction ◽

A Multi-wall and Multi-frequency Indoor Path Loss Prediction Model Using Artificial Neural Networks

Arabian Journal for Science and Engineering ◽

10.1007/s13369-015-1949-6 ◽

2015 ◽

Vol 41 (3) ◽

pp. 987-996 ◽

Cited By ~ 6

Author(s):

Aymen Ben Zineb ◽

Mohamed Ayadi

Keyword(s):

Neural Networks ◽

Prediction Model ◽

Path Loss ◽

Loss Prediction ◽

Path Loss Prediction ◽

Proceedings of the 5th International ICST Conference on Communications and Networking in China ◽

Application of artificial neural networks for path loss prediction in railway environments

10.4108/iwoncmm.2010.10 ◽

2010 ◽

Cited By ~ 2

Author(s):

Di Wu ◽

Gang Zhu ◽

Bo Ai

Keyword(s):

Neural Networks ◽

Path Loss ◽

Loss Prediction ◽

Path Loss Prediction ◽

Macrocell Path-Loss Prediction Using Artificial Neural Networks

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2010.2050502 ◽

2010 ◽

Vol 59 (6) ◽

pp. 2735-2747 ◽

Cited By ~ 58

Author(s):

E Ostlin ◽

H Zepernick ◽

H Suzuki

Keyword(s):

Neural Networks ◽

Path Loss ◽

Loss Prediction ◽

Path Loss Prediction ◽

Mobile radio propagation path loss prediction using Artificial Neural Networks with optimal input information for urban environments

AEU - International Journal of Electronics and Communications ◽

10.1016/j.aeue.2015.06.014 ◽

2015 ◽

Vol 69 (10) ◽

pp. 1453-1463 ◽

Cited By ~ 23

Author(s):

Sotirios P. Sotiroudis ◽

Katherine Siakavara

Keyword(s):

Neural Networks ◽

Path Loss ◽

Urban Environments ◽

Mobile Radio ◽

Radio Propagation ◽

Propagation Path ◽

Input Information ◽

Loss Prediction ◽

Path Loss Prediction

A new global version of M(3000)F2 prediction model based on artificial neural networks

Advances in Space Research ◽

10.1016/j.asr.2013.11.023 ◽

2014 ◽

Vol 53 (3) ◽

pp. 371-386 ◽

Cited By ~ 6

Author(s):

S.I. Oronsaye ◽

L.A. McKinnell ◽

J.B. Habarulema

Keyword(s):

Neural Networks ◽

Prediction Model ◽

Model Based ◽

Macrocell electric field strength prediction model based upon artificial neural networks

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2002.801217 ◽

2002 ◽

Vol 20 (6) ◽

pp. 1170-1177 ◽

Cited By ~ 22

Author(s):

A. Neskovic ◽

N. Neskovic ◽

D. Paunovic

Keyword(s):

Neural Networks ◽

Field Strength ◽

Electric Field ◽

Prediction Model ◽

Electric Field Strength ◽

Strength Prediction ◽

Model Based ◽

<i>An improved photosynthesis prediction model based on artificial neural networks intended for cucumber growth control</i>

10.13031/aim.201700251 ◽

2017 ◽

Author(s):

Pingping Xin ◽

Jin Hu ◽

Haihui Zhang

Keyword(s):

Neural Networks ◽

Prediction Model ◽

Growth Control ◽

Model Based ◽

Microcell electric field strength prediction model based upon artificial neural networks

AEU - International Journal of Electronics and Communications ◽

10.1016/j.aeue.2009.05.005 ◽

2010 ◽

Vol 64 (8) ◽

pp. 733-738 ◽

Cited By ~ 9

Author(s):

Aleksandar Neskovic ◽

Natasa Neskovic

Keyword(s):

Neural Networks ◽

Field Strength ◽

Electric Field ◽

Prediction Model ◽

Electric Field Strength ◽

Strength Prediction ◽

Model Based ◽

How much information about embryo implantation potential is included in morphokinetic data? A prediction model based on artificial neural networks and principal component analysis

Advances in Medical Sciences ◽

10.1016/j.advms.2017.02.001 ◽

2017 ◽

Vol 62 (1) ◽

pp. 202-206 ◽

Cited By ~ 13

Author(s):

Robert Milewski ◽

Agnieszka Kuczyńska ◽

Bożena Stankiewicz ◽

Waldemar Kuczyński

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Prediction Model ◽

Embryo Implantation ◽

Principal Component ◽

Component Analysis ◽

Model Based ◽

Thermal characteristics of in-tube upward supercritical CO2 flows and a new heat transfer prediction model based on artificial neural networks (ANN)

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2021.117067 ◽

2021 ◽

pp. 117067

Author(s):

Feng Sun ◽

Gongnan Xie ◽

Jian Song ◽

Shulei Li ◽

Christos N. Markides

Keyword(s):

Heat Transfer ◽

Neural Networks ◽

Prediction Model ◽

Supercritical Co2 ◽

Thermal Characteristics ◽

Model Based ◽