Using the problem-based learning method in the process of studying mathematical disciplines in agricultural higher educational institutions by Borozenets Nataliia

Subjects: “…method of problem-based learning…”
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Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

“…Accordingly, this paper proposes a novel face recognition method for underground engineering environments based on dual-target domain adaptation (DTDA) and discriminative feature learning (DFL). …”
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Evaluation method for gas pre-extraction status in coal seam boreholes based on semi-supervised learning by YAN Li, WEN Hu, WANG Zhenping, JIN Yongfei

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A prediction and correction reentry guidance method based on BP network and deep Q-learning network by WANG Kuan, YAN Xunliang, HONG Bei, NAN Wenjiang, WANG Peichen

“…A prediction and correction reentry guidance method based on the BP network and the deep Q-learning network (DQN) is proposed to address the issues of low computational efficiency and difficulty in the online application of a traditional numerical prediction and correction guidance algorithm. …”
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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

“…In recent years, due to high self-learning and self-optimization ability, reinforcement learning has emerged in the field of economic dispatch, which can solve model-free dynamic programming problems that cannot be effectively solved by traditional optimization methods. …”
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A fast prediction method of fatigue life for crane structure based on Stacking ensemble learning model by Jincheng Zhao, Qing Dong, Gening Xu, Hongjuan Li, Haiting Lu, Weishan Zhuang

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A deep learning-based hybrid method for PM2.5 prediction in central and western China by Zuhan Liu, Zihai Fang, Yuanhao Hu

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Joint Translation Method for English–Chinese Place Names Based on Prompt Learning and Knowledge Graph Enhancement by Hanyou Liu, Xi Mao

“…In this regard, the study proposes an English-Chinese place name joint translation method based on prompt learning and knowledge graph enhancement. …”
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An Improved Sparse Bayesian Learning SAR Tomography Method and its Application for Forest Vertical Structure Inversion by Jie Wan, Changcheng Wang, Peng Shen, Yonghui Wei

“…In this article, a novel sparse Bayesian learning (SBL) based TomoSAR method is proposed to achieve super-resolution reconstruction of forest vertical structure. …”
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Parallel fuzzy control: a self-learning control method with virtual-real interaction and mutual enhancement by Dewang CHEN, Jixiang OU

“…Fuzzy control has advantages such as interpretability and ease of implementation.However, it is limited by its weak self-learning capability, which makes it difficult to effectively utilize the large amount of data accumulated in the control process.Parallel control is a new intelligent control method that enables intelligent control with virtual-real interaction and mutual enhancement, effectively using the Internet and big data to achieve intelligent control.Fuzzy control and parallel control were combined as a new method, and the definition and framework of parallel fuzzy control were proposed and its possible applications were discussed.Parallel fuzzy control has the potential to extend the development direction of fuzzy control and become a new thinking for parallel control.It can effectively utilize big data and some machine learning algorithms based on data-driven to achieve self-learning control, while ensuring interpretability and credibility.…”
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Patent value prediction in biomedical textiles: A method based on a fusion of machine learning models. by Yifan He, Kehui Deng, Jiawei Han

“…A patent value grading prediction method based on a fusion of machine learning models is proposed, utilizing 113,428 biomedical textile patents as the research sample. …”
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Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning by Qingli Liu, Yongjie Ma

“…A resource allocation method based on federated multi-agent deep reinforcement learning is proposed for Vehicular Networking communication, by fusing Asynchronous Federated Learning (AFL) and Multi-Agent Deep Deterministic Policy Gradient (MADDPG). …”
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A Multi-Level Multiple Contrastive Learning Method for Single-Lead Electrocardiogram Atrial Fibrillation Detection by Yonggang Zou, Peng Wang, Lidong Du, Xianxiang Chen, Zhenfeng Li, Junxian Song, Zhen Fang

“…To address the gap between limited labeled data and the requirements for model robustness and generalization in single-lead ECG AF detection, we proposed a semi-supervised contrastive learning method named MLMCL for AF detection. The MLMCL method utilizes the multi-level feature representations of the encoder to perform multiple contrastive learning to fully exploit temporal consistency, channel consistency, and label consistency. …”
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PairReg: A method for enhancing the learning of molecular structure representation in equivariant graph neural networks by Zhen Ren, Yu Liu, Sen Zhang

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An Interpretable Data-Driven Dynamic Operating Envelope Calculation Method Based on an Improved Deep Learning Model by Yun Li, Tunan Chen, Jianzhao Liu, Zhaohua Hu, Yuchen Qi, Ye Guo

“…This paper proposes an interpretable model-free DOE calculation method that leverages smart meter data to address this issue. …”
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Interpretable graph methods for determining nanoparticles ordering in electron microscopy image by M.Y. Kurbakov, V.V. Sulimova, O.S. Seredin, A.V. Kopylov

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Artificial Intelligence in Dermatology: A Review of Methods, Clinical Applications, and Perspectives by Agnieszka M. Zbrzezny, Tomasz Krzywicki

“…This work aims to review current research, map applicable legal regulations, identify ethical challenges and methods of verifying AI models in dermatology, assess publication trends, compare the most popular neural network architectures and datasets, and identify good practices in creating AI-based applications for dermatological use. …”
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Editorial: Innovative educational methods for Family Medicine and Primary Care training by Sunanda C. Ray

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Application of Vibrational Methods in Wood Performance Testing: A Short Review by Jiawen Shi, Shiyan Yin, Wenlan Huang, Bin Na

Subjects: “…vibration method…”
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