Application of artificial neural networks to the prediction of field strength in indoor environment for wireless LAN

Field Strength ◽

Wireless Lan ◽

Indoor Environment ◽

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 ◽

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 ◽

Hybrid prediction model for field strength with ray tracing and artificial neural networks

2012 IEEE 14th International Conference on Communication Technology ◽

10.1109/icct.2012.6511233 ◽

2012 ◽

Author(s):

Weigang Chen ◽

Yumei Lin ◽

Jinsheng Yang

Keyword(s):

Neural Networks ◽

Field Strength ◽

Prediction Model ◽

Ray Tracing ◽

Hybrid Prediction ◽

MELECON '98. 9th Mediterranean Electrotechnical Conference. Proceedings (Cat. No.98CH36056) ◽

A field strength prediction model based on artificial neural networks

10.1109/melcon.1998.692456 ◽

2002 ◽

Author(s):

A. Neskovic ◽

N. Neskovic ◽

D. Paunovic

Keyword(s):

Neural Networks ◽

Field Strength ◽

Prediction Model ◽

Strength Prediction ◽

Model Based ◽

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Organizational Issues ◽

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Diagnosis And Prognosis ◽

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Space Exploration ◽

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽