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Shahab Band

National Yunlin University of Science and Technology

SCHOLARLY PAPERS

5

DOWNLOADS

378

TOTAL CITATIONS

8

Scholarly Papers (5)

1.

Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

Number of pages: 45 Posted: 08 Dec 2020
Oxford Brookes University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and National Yunlin University of Science and Technology
Downloads 240 (319,183)
Citation 8

Abstract:

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economics, deep reinforcement learning, deep learning, machine learning

2.

Factor Analysis Approach to Classify COVID-19 Datasets in Several Regions

Results in Physics, Volume 25, June 2021, https://www.sciencedirect.com/science/article/pii/S2211379721002321
Number of pages: 13 Posted: 04 May 2022
Fasa University Of Medical Sciences, Çankaya University, National Yunlin University of Science and Technology and TU Dresden
Downloads 42 (1,183,237)

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Covid-19, Coronavirus; Correlation, Factor Analysis

3.

Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit

Number of pages: 28 Posted: 11 May 2022
Wenzhou University - College of Computer Science and Artificial Intelligence, Islamic Azad University (IAU) - Tabriz Branch, Wenzhou Polytechnic, National Yunlin University of Science and Technology, Hong Kong Polytechnic University and TU Dresden
Downloads 41 (1,170,409)

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streamlined weirs, discharge prediction, deep learning, machine learning, deep convolutional neural network, gated recurrent unit

4.

Energetic thermo-physical analysis of MLP-RBF feed-forward neural network compared with RLS Fuzzy to predict CuO/liquid paraffin mixture properties

Xiaoluan Zhang, Xinni Liu, Xifeng Wang, Shahab S. Band, Seyed Amin Bagherzadeh, Somaye Taherifar, Ali Abdollahi, Mehrdad Bahrami, Arash Karimipour, Kwok-Wing Chau & Amir Mosavi (2022) Energetic thermo-physical analysis of MLP-RBF feed-forward neural network compared with RLS Fuzzy to predict CuO/li
Number of pages: 40 Posted: 27 Apr 2022
affiliation not provided to SSRN, Tsinghua University, Nanchang University - Department of Anesthesiology, National Yunlin University of Science and Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Islamic Azad University (IAU), Hong Kong Polytechnic University and TU Dresden
Downloads 39 (1,196,171)

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Viscosity, Copper Oxide, Liquid Paraffin, artificial intelligence, RLS Fuzzy, machine learning

5.

Diffusion analysis with high and low concentration regions by the finite difference method, the adaptive network-based fuzzy inference system, and the bilayered neural network method

Engineering Applications of Computational Fluid Mechanics, Volume 15, 2021 - Issue 1
Number of pages: 21 Posted: 27 Apr 2022
affiliation not provided to SSRN, Thuringian Institute of Sustainability and Climate Protection, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Pennsylvania, National Yunlin University of Science and Technology, Hong Kong Polytechnic University and TU Dresden
Downloads 16 (1,491,251)

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ANFIS, Bilayered neural network, diffusion phenomena, diffusion of molecules, machine learning