Dört Kanatlı İnsansız Hava Araçları İçin Yapay Sinir Ağları İle Konum Tabanlı Görsel Servolama Position Based Visual Servoing with Artificial Neural Networks for Quadrotor-type Unmanned Aerial Vehicles

Visual Servoing ◽

Aerial Vehicles ◽

Dört Kanatlı İnsansız Hava Araçları İçin Yapay Sinir Ağları İle Konum Tabanlı Görsel Servolama Position Based Visual Servoing with Artificial Neural Networks for Quadrotor-type Unmanned Aerial Vehicles

2021 29th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu53274.2021.9477914 ◽

2021 ◽

Author(s):

Aybuke Unlu ◽

Tolga Yuksel

Keyword(s):

Neural Networks ◽

Visual Servoing ◽

Aerial Vehicles ◽

Unmanned Aerial Vehicles parameter estimation using Artificial Neural Networks and Iterative Bi-Section Shooting method

Applied Soft Computing ◽

10.1016/j.asoc.2015.06.031 ◽

2015 ◽

Vol 36 ◽

pp. 457-467 ◽

Cited By ~ 15

Author(s):

Khaled S. Hatamleh ◽

Mohammad Al-Shabi ◽

Adnan Al-Ghasem ◽

Asad A. Asad

Keyword(s):

Neural Networks ◽

Parameter Estimation ◽

Shooting Method ◽

Aerial Vehicles ◽

A Survey of Artificial Neural Networks with Model-based Control Techniques for Flight Control of Unmanned Aerial Vehicles

2019 International Conference on Unmanned Aircraft Systems (ICUAS) ◽

10.1109/icuas.2019.8797853 ◽

2019 ◽

Cited By ~ 1

Author(s):

Weibin Gu ◽

Kimon P. Valavanis ◽

Matthew J. Rutherford ◽

Alessandro Rizzo

Keyword(s):

Neural Networks ◽

Flight Control ◽

Model Based Control ◽

Control Techniques ◽

Model Based ◽

Aerial Vehicles ◽

Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controller for Unmanned Aerial Vehicles in Time-Varying Environments

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2020.3004600 ◽

2020 ◽

pp. 1-1

Author(s):

Vu Phi Tran ◽

Fendy Santoso ◽

Matt Garratt ◽

Sreenatha Anavatti

Keyword(s):

Neural Networks ◽

Time Varying ◽

Aerial Vehicles ◽

Artificial Neural ◽

Varying Environments

Monitoring of agricultural land productivity using unmanned aerial vehicles and artificial neural networks

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/403/1/012175 ◽

2019 ◽

Vol 403 ◽

pp. 012175 ◽

Cited By ~ 1

Author(s):

Aleksey Rogachev ◽

Elena Melikhova

Keyword(s):

Neural Networks ◽

Agricultural Land ◽

Land Productivity ◽

Aerial Vehicles ◽

Visual Servoing Application for Inverse Kinematics of Robotic Arm Using Artificial Neural Networks

Studies in Informatics and Control ◽

10.24846/v27i2y201806 ◽

2019 ◽

Vol 27 (2) ◽

pp. 183-190 ◽

Cited By ~ 4

Author(s):

Ayca AK ◽

Vedat TOPUZ ◽

Emregul ERSAN

Keyword(s):

Neural Networks ◽

Inverse Kinematics ◽

Visual Servoing ◽

Robotic Arm ◽

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 ◽