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Image Scene Classification of Multiclass
Abdur Razzaq Fayjie,Guangxing Wang,Kwang-Seong Shin,Seong-Yoon Shin 한국정보통신학회 2021 2016 INTERNATIONAL CONFERENCE Vol.12 No.1
In this paper, we proposed a multiclass image scene classification method based on transform learning. It relied on a pre-trained network model on the ImageNet large image dataset to classify multiclass of natural scene images. In the experiment, the optimized the ResNet model was classified on Kaggle"s Intel Image Classification dataset and achieved excellent results.
Intelligent Controller Design for Quad-Rotor Stabilization in Presence of Parameter Variations
Doukhi, Oualid,Fayjie, Abdur Razzaq,Lee, Deok Jin Hindawi Limited 2017 Journal of advanced transportation Vol.2017 No.-
<P>The paper presents the mathematical model of a quadrotor unmanned aerial vehicle (UAV) and the design of robust Self-Tuning PID controller based on fuzzy logic, which offers several advantages over certain types of conventional control methods, specifically in dealing with highly nonlinear systems and parameter uncertainty. The proposed controller is applied to the inner and outer loop for heading and position trajectory tracking control to handle the external disturbances caused by the variation in the payload weight during the flight period. The results of the numerical simulation using gazebo physics engine simulator and real-time experiment using AR drone 2.0 test bed demonstrate the effectiveness of this intelligent control strategy which can improve the robustness of the whole system and achieve accurate trajectory tracking control, comparing it with the conventional proportional integral derivative (PID).</P>