Can Artificial Intelligence Technology Help Achieving Good Governance: A Public Policy Evaluation Method Based on Artificial Neural Network by Zhinan Xu, Zijun Liu, Hang Luo

“…By leveraging empirical data and a deep learning model based on convolutional neural networks (CNN), the model achieves a high accuracy of 93.40%, surpassing most comparable models. …”
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The Complex Neural Network Model for Mass Appraisal and Scenario Forecasting of the Urban Real Estate Market Value That Adapts Itself to Space and Time by Leonid N. Yasnitsky, Vitaly L. Yasnitsky, Aleksander O. Alekseev

“…In the modern scientific literature, there are many reports about the successful application of neural network technologies for solving complex applied problems, in particular, for modeling the urban real estate market. …”
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The Difference of Neural Networks between Bimanual Antiphase and In-Phase Upper Limb Movements: A Preliminary Functional Magnetic Resonance Imaging Study by Qiang Lin, Hai Li, Yu-Rong Mao, Wai-Leung Lo, Jiang-Li Zhao, Ling Chen, Yan Leng, Dong-Feng Huang, Le Li

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EquiRank: Improved protein-protein interface quality estimation using protein language-model-informed equivariant graph neural networks by Md Hossain Shuvo, Debswapna Bhattacharya

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Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network by Meiling Liang, Xiaohui Zhang, Rong Zhao, Xulin Wen, Shan Qing, Aimin Zhang

“…Neural network model is used to optimize the prediction of flow boiling heat transfer coefficient of R245fa in horizontal light pipe through training and learning. …”
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Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis by Ghazi Bahroz Jumaa, Ali Ramadhan Yousif

“…This paper proposes three new prediction models, utilizing artificial neural networks (ANNs) and gene expression programming (GEP), as a recently developed artificial intelligent techniques, and nonlinear regression analysis (NLR) as a conventional technique. …”
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Traffic classification in SDN-based IoT network using two-level fused network with self-adaptive manta ray foraging by Mohammed A. Aleisa

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Correlation of artificial neural network and multi-attribute transformation: a test case to predict the effective porosity of Cretaceous sandstones of the Sembar Formation, southeast Pakistan by Furqan Aftab, Furqan Aftab, Furqan Aftab, Furqan Aftab, Mohammad Zafar, Muhammad Iqbal Hajana, John H. Shaw

Subjects: “…artificial neural network…”
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Table Extraction with Table Data Using VGG-19 Deep Learning Model by Muhammad Zahid Iqbal, Nitish Garg, Saad Bin Ahmed

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Forecasting Alisadr Cave Tourism Demand using Combination of Short-term and Long-term Forecasts by Elaheh Malekzadeh Hamedani, Marjan Kaedi, Zahra Zojaji

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Enhancing adversarial transferability with local transformation by Yang Zhang, Jinbang Hong, Qing Bai, Haifeng Liang, Peican Zhu, Qun Song

Subjects: “…Deep neural networks…”
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Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning by Maryam Talebvand, Amir Lakizadeh, Faranak Fotouhi

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Designing a Model for Credit Risk Assessment of Customers for Guarantees Issued by the Export Guarantee Fund of Iran via Artificial Neural Network Model by Farshid Ahmadi Sartakhti, Kambiz Hojabr Kiani, Seyed Shamsoddin Hoseini, Abbas Memarnejad

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GAN-based pseudo random number generation optimized through genetic algorithms by Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui

Subjects: “…Adversarial neural networks…”
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Research on Stability of Utralong and Deep-Buried Tunnel Surrounding Rocks Based on GA-GRNN Geostress Field Inversion by GUO Chong, WANG Hansheng, DENG Weijie, ZHAO Shunli, DU Weichang

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A Novel Control Method to Improve Current Regulation and Harmonics in Navigation Dimming Power Supply by Zhang Sun, Fan Wu, Weidong Jin, Jun Wang, Yunpu Wu, Xunbing Wu, Zhongjun Wei

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Machine learning in medicine: what clinicians should know by Jordan Zheng Ting Sim, Qi Wei Fong, Weimin Huang, Cher Heng Tan

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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

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Investigating factors affecting the financial recovery of businesses admitted to the stock exchange by Fatemeh Sahraei, Jafar Jamali, Hamidreza Vakilifard, Ali Zare, Seyed Yaghoub Zeraatkish

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The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

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