Computational Intelligence Methods for Green Technology and Sustainable Development
Proceedings of the International Conference GTSD2020
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Article
Open AccessTwo-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming
This work presents an innovative two-stage interpolation algorithm for image resolution enhancement and zooming applications. The desired high-resolution images are obtained via two interpolative stages. In th...
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Chapter and Conference Paper
Robotic Fish Kinectics Design Based on a Fuzzy Control
This paper shows an application of fuzzy logic in designing and fabricating an intelligent robotic fish with multiple actuators which can swim freely and autonomously avoid obstacles in water. The multiple act...
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Article
Implementation of an Object-Gras** Robot Arm Using Stereo Vision Measurement and Fuzzy Control
In this paper, a method using a stereo vision device and fuzzy control to guide a robot arm to grasp a target object is proposed. The robot arm has five degrees of freedom including a gripper and four joints. ...
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Article
Fuzzy Control Strategy for a Hexapod Robot Walking on an Incline
In this paper, the fuzzy control strategy for a hexapod robot walking on an incline is proposed. In order to maintain the vertical projection of the center of gravity (COG) remaining in the support pattern, th...
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Book and Conference Proceedings
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Chapter and Conference Paper
Correction to: Computational Intelligence Methods for Green Technology and Sustainable Development
In the original version of the book, the following corrections has been updated:
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Book and Conference Proceedings
Computational Intelligence Methods for Green Technology and Sustainable Development
Proceedings of the International Conference GTSD2022
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Chapter and Conference Paper
Fault Reconstruction and State Estimation for Large-Scale T-S Fuzzy System
This paper proposes a new approach to designing the observer for the nonlinear Large-scale system. The nonlinear large-scale system is modeled under the T-S fuzzy system framework that allows us to apply power...
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Article
Apply Fuzzy Mask to Improve Monocular Depth Estimation
A fuzzy mask applied to pixel-wise dissimilarity weighting is proposed to improve the monocular depth estimation in this study. The parameters in the monocular depth estimation model are learned unsupervised t...
