Framework for Slice-Aware Radio Resource Management Utilizing Artificial Neural Networks

Resource Management ◽

Radio Resource Management ◽

Radio Resource ◽

Merging CBR and Neural Networks for SLA-Based Radio Resource Management for QoS Sensitive Cellular Networks

Eighth International Symposium on Autonomous Decentralized Systems (ISADS'07) ◽

10.1109/isads.2007.48 ◽

2007 ◽

Cited By ~ 3

Author(s):

Muhammad Umer Khan ◽

Muhammad Qaisar Ch ◽

Hafiz Farooq Ahmad ◽

Liaqut Ali ◽

Arshad Ali ◽

...

Keyword(s):

Neural Networks ◽

Resource Management ◽

Cellular Networks ◽

Radio Resource Management ◽

Radio Resource

Resource management for handoff control in wireless/mobile networks using artificial neural networks

10.5353/th_b3122600 ◽

2001 ◽

Author(s):

Changhua He

Keyword(s):

Neural Networks ◽

Resource Management ◽

Mobile Networks ◽

Wireless Mobile Networks ◽

Handoff Control ◽

Artificial Neural ◽

Wireless Mobile

19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007) ◽

Solving Resource Management Optimization Problems in Contact Centers with Artificial Neural Networks

10.1109/ictai.2007.128 ◽

2007 ◽

Cited By ~ 1

Author(s):

Efstratios F. Georgopoulos ◽

Sotiris M. Giannaropoulos

Keyword(s):

Neural Networks ◽

Resource Management ◽

Optimization Problems ◽

Artificial Neural ◽

Management Optimization ◽

Contact Centers

Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2020.3036965 ◽

2021 ◽

Vol 39 (1) ◽

pp. 101-115

Author(s):

Yifei Shen ◽

Yuanming Shi ◽

Jun Zhang ◽

Khaled B. Letaief

Keyword(s):

Neural Networks ◽

Resource Management ◽

Theoretical Analysis ◽

Radio Resource Management ◽

Architecture Design ◽

Radio Resource ◽

Management Architecture ◽

Graph Neural Networks

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 ◽

Cited By ~ 1

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 ◽

Cited By ~ 1

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 ◽