The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

“…Using Henan Province as a case study, 20 environmental factors and 1021 landslide records were analyzed. The EIV method leverages machine learning to assign adaptive weights to influencing factors, prioritizing sample selection in low-susceptibility regions and avoiding high-susceptibility areas, thereby enhancing sample quality. …”
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Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

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Transformer-based travel time estimation method for plateau and mountainous environments by Guangjun Qu, Kefa Zhou, Rui Wang, Dong Li, Yingpeng Lu, Zhihong Lv, Dequan Zhao, Aijun Zhang, Qing Zhang

“…The objective of this study is to develop TTE methods that are applicable to wilderness areas characterized by plateau and mountainous topography. …”
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Exploring the optimal method for quantifying the contribution of driving factors of urban floods by Xi Huang, Linhan Yang, GuiCheng Yang, Jiufeng Li, Luo Liu, Yilun Liu, Xianzhe Tang

“…This study addresses this gap by examining Shenzhen, a rapidly urbanizing city, and applying various regression methods (linear, multiple machine learning (ML), and Shapley Additive exPlanations (SHAP)) to evaluate flood-driving factors. …”
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Micro-Terrain Recognition Method of Transmission Lines Based on Improved UNet++ by Feng Yi, Chunchun Hu

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WIRE: A Weighted Item Removal Method for Unsupervised Rank Aggregation by Leonidas Akritidis, Panayiotis Bozanis

“…The weighted rank aggregation methods consider a more advanced version of the problem by assuming that the input lists are not of equal importance. …”
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Lightweight grape leaf disease recognition method based on transformer framework by Ning Zhang, Enxu Zhang, Guowei Qi, Fei Li, Cheng Lv

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BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks by Whitney Sloneker, Shalin Patel, Hung-Jen Wang, Lorin Crawford, Ritambhara Singh

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A Novel Integrated Fault Diagnosis Method Based on Digital Twins by Xiangrui Hu, Linglin Liu, Zhengyu Quan, Jinguo Huang, Jing Liu

“…With the advancement of IoT technology, real-time data acquisition and storage have become feasible, enabling deep learning-based fault diagnosis methods to achieve remarkable results. …”
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Clarification of Degraded Neutron Radiographic Images and Its Quality Metric Method by ZHANG Tian, MENG Chengbo, ZHANG Zhen, ZHAO Chenyi, QIAO Shuang

“…At the same time, based on the quantitative analysis of the objective image quality assessment method proposed in this paper, it can be seen that the quality score of the proposed restoration scheme increases by more than 10% compared with other deep learning and traditional image restoration methods, thus demonstrating the effectiveness of the proposed restoration and quality assessment for the compact neutron radiography system.…”

A text classification method based on LSTM and graph attention network by Haitao Wang, Fangbing Li

“…Experimental results on four datasets show that our model outperforms existing text classification methods with faster convergence and less memory consumption than other graph-based methods. …”
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An Improved UNet-Based Path Recognition Method in Low-Light Environments by Wei Zhong, Wanting Yang, Junhuan Zhu, Weidong Jia, Xiang Dong, Mingxiong Ou

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The Impact of Integrated Project-Based Learning and Flipped Classroom on Students’ Computational Thinking Skills: Embedded Mixed Methods by Muh Fitrah, Anastasia Sofroniou, Caly Setiawan, Widihastuti Widihastuti, Novi Yarmanetti, Melinda Puspita Sari Jaya, Jontas Gayuh Panuntun, Arfaton Arfaton, Septrisno Beteno, Ika Susianti

“…The results of this study suggest that further research could explore other methodologies, such as grounded theory and case studies integrated with e-learning, and emphasize visual analysis methods, such as using photo elicitation to explore thinking skills.…”
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Deep reinforced cognitive analytics algorithm (DRCAM): An advanced method to early detection of cognitive skill impairment using deep learning and reinforcement learning by Sunita Patil, Dr. Swetta Kukreja

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Face-to-Face or Flipped Learning Classroom: Which Method Enhances Iranian EFL Sixth-Grade Students’ Self-Efficacy in Virtual Learning Environment? by Vahid Norouzi Larsari, Farahman Farrokhi

“…This suggests potential benefits for educators, policymakers, and institutions in adopting FC methods to improve academic literacy and student perceptions of virtual learning. …”
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Underwater Visual Object Tracking Method Based on Scene Perception by Qianwei HU, Daiwei WANG, Renjie LI, Xiaofan YU, Bin KANG, Ruoyu SU

“…Experiments show that the proposed method is significantly better than the classical method in terms of tracking accuracy and robustness, especially in scenes with large lighting changes, complex backgrounds, and strong interference of similar targets, and the success rate and accuracy are significantly improved. …”
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Method of automated construction of pattern recognition algorithms on phase paths by Dmitry Kovalenko

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Neural Network Method for Solving Time Fractional Diffusion Equations by Feng Gao, Chunmei Chi

“…In this paper, we propose a neural network method to solve time-fractional diffusion equations with Dirichlet boundary conditions by using a combination of machine learning techniques and Method of Lines. …”
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Study on Tourism Development Using CRITIC Method for Tourist Satisfaction by Xi Yang, Noor Azman Ali, Huam Hon Tat

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