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Applied Computing and Artificial Intelligence

Author

Listed:
  • Xiang Li

    (School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Shuo Zhang

    (School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an 710072, China)

  • Wei Zhang

    (School of Aerospace Engineering, Shenyang Aerospace University, Shenyang 110136, China)

Abstract

Applied computing and artificial intelligence methods have been attracting growing interest in recent years due to their effectiveness in solving technical problems [...]

Suggested Citation

  • Xiang Li & Shuo Zhang & Wei Zhang, 2023. "Applied Computing and Artificial Intelligence," Mathematics, MDPI, vol. 11(10), pages 1-4, May.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:10:p:2309-:d:1147662
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    References listed on IDEAS

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    1. Fahman Saeed & Muhammad Hussain & Hatim A. Aboalsamh & Fadwa Al Adel & Adi Mohammed Al Owaifeer, 2023. "Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    2. Mercedes Orús-Lacort & Christophe Jouis, 2022. "Analyzing the Collatz Conjecture Using the Mathematical Complete Induction Method," Mathematics, MDPI, vol. 10(12), pages 1-7, June.
    3. Wangying Xu & Xiaobing Yu, 2022. "Adaptive Guided Spatial Compressive Cuckoo Search for Optimization Problems," Mathematics, MDPI, vol. 10(3), pages 1-28, February.
    4. Dezhi Hao & Xianwen Gao, 2022. "Unsupervised Fault Diagnosis of Sucker Rod Pump Using Domain Adaptation with Generated Motor Power Curves," Mathematics, MDPI, vol. 10(8), pages 1-22, April.
    5. Nannan Xu & Xinze Cui & Xin Wang & Wei Zhang & Tianyu Zhao, 2022. "An Intelligent Athlete Signal Processing Methodology for Balance Control Ability Assessment with Multi-Headed Self-Attention Mechanism," Mathematics, MDPI, vol. 10(15), pages 1-16, August.
    6. Ying Li & Ye Tang, 2022. "Design on Intelligent Feature Graphics Based on Convolution Operation," Mathematics, MDPI, vol. 10(3), pages 1-15, January.
    7. Xiaobing Yu & Xuejing Wu & Wenguan Luo, 2022. "Parameter Identification of Photovoltaic Models by Hybrid Adaptive JAYA Algorithm," Mathematics, MDPI, vol. 10(2), pages 1-28, January.
    8. Jin Qian & Yu Zhan, 2022. "The Due Window Assignment Problems with Deteriorating Job and Delivery Time," Mathematics, MDPI, vol. 10(10), pages 1-16, May.
    9. Yue Lu & Gang Mei, 2022. "A Deep Learning Approach for Predicting Two-Dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)," Mathematics, MDPI, vol. 10(16), pages 1-18, August.
    10. Ahmed Hamza Osman & Hani Moaiteq Aljahdali, 2022. "Important Arguments Nomination Based on Fuzzy Labeling for Recognizing Plagiarized Semantic Text," Mathematics, MDPI, vol. 10(23), pages 1-22, December.
    11. Yan Zhang & Jiyuan Tao & Zhixiang Yin & Guoqiang Wang, 2022. "Improved Large Covariance Matrix Estimation Based on Efficient Convex Combination and Its Application in Portfolio Optimization," Mathematics, MDPI, vol. 10(22), pages 1-15, November.
    12. Lefa Zhao & Yafei Zhu & Tianyu Zhao, 2022. "Deep Learning-Based Remaining Useful Life Prediction Method with Transformer Module and Random Forest," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    13. Jiapei Peng & Lefa Zhao & Tianyu Zhao, 2022. "Study on Dynamic Characteristics of a Rotating Sandwich Porous Pre-Twist Blade with a Setting Angle Reinforced by Graphene Nanoplatelets," Mathematics, MDPI, vol. 10(15), pages 1-15, August.
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    Cited by:

    1. Jiang, Yirui & Tran, Trung Hieu & Williams, Leon, 2023. "Machine learning and mixed reality for smart aviation: Applications and challenges," Journal of Air Transport Management, Elsevier, vol. 111(C).
    2. Nir Chemaya & Lin William Cong & Emma Jorgensen & Dingyue Liu & Luyao Zhang, 2023. "Uniswap Daily Transaction Indices by Network," Papers 2312.02660, arXiv.org.
    3. Yan, Tao & Li, Shengnan & Kraner, Benjamin & Zhang, Luyao & Tessone, Claudio J., 2024. "Analyzing Reward Dynamics and Decentralization in Ethereum 2.0: An Advanced Data Engineering Workflow and Comprehensive Datasets for Proof-of-Stake Incentives," OSF Preprints 6ceuz, Center for Open Science.
    4. Tao Yan & Shengnan Li & Benjamin Kraner & Luyao Zhang & Claudio J. Tessone, 2024. "Analyzing Reward Dynamics and Decentralization in Ethereum 2.0: An Advanced Data Engineering Workflow and Comprehensive Datasets for Proof-of-Stake Incentives," Papers 2402.11170, arXiv.org.

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