Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Hoai-

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An Efficient Size-Dependent Computational Approach for Functionally Graded Porous Sandwich Microplaposed in this paper. The theory is developed from a general higher-order shear deformation framework and modified couple stress theory to capture the size effects. The displacements are approximated by bi-directional series of hybrid shape functions, then characteristic equations of motion are obtai

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,Static Analysis of Laminated Composite Plates with Stiffeners Using CS-MITC3+ Elements,st-order shear deformation equivalent single layer theory. In which, the plate is modelled by the 3-node triangle elements having a bubble node located at the centroid. The plate transverse shear strains are independently interpolated by using the shear-locking removal technique MITC3+. The plate me

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,Machine Learning in Classification of Parkinson’s Disease Using Electroencephalogram with Simon’s C. This study contains 28 patients who tested ON and OFF dopaminergic medication and 28 healthy people of matched age and sex. Their electroencephalography (EEG) signals, which were the most frequently employed approach for diagnosing brain illness, were collected while participating in Simon‘s Confl

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Prediction of Initial Crack Propagation Direction of Dissimilar Friction Stir Welded T-Joint,tial candidate for producing a T-joint that is utilized in many structural parts. In this paper, the FSWed T-joints were produced by double-welding pass. The prediction of the initial crack propagation direction that is fundamental to the evaluation of the effective joints was considered by Maximum

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Pairs Trading Selection Using Nondominated Sorting Genetic Algorithm (NSGA-II),t can be used to implement pairs trading. While traditional statistical financial methods, such as correlation, distance, and cointegration…, are applied by many authors, machine learning methods are applied by only a few researchers. So, in this paper, we will present the application of the Genetic

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Fusion of Segmentation and Classification for Improving Skin Disease Diagnosis,chniques has provided fast and powerful approaches for image analysis and classification for pathologists in their diagnostic tasks. This paper presents a new approach to enhance the efficiency of the skin disease classification task. The method consists of three major parts as follows (1) Extractin

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A Survey of the Classification of Emotions Using Electroencephalography Signals by Branch Convolutied three types of branch convolution neural networks named two dimensions convolution neural networks with three branches (2D-3B-CNN), two dimensions convolution neural networks with two branches (2D-2B-CNN), and three dimensions convolution neural networks with three branches (3D-3B-CNN). It extrac