A Financial Data Analysis Method Based on Time-Series Generative Adversarial Network and Decomposition Learning by Wei Wang, Bo Li

“…Inspired by this, we propose a financial data analysis method based on time series generative adversarial network (TimeGAN) and decomposition learning. …”
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Evaluation method of Driver’s olfactory preferences: a machine learning model based on multimodal physiological signals by Bangbei Tang, Bangbei Tang, Mingxin Zhu, Mingxin Zhu, Zhian Hu, Yongfeng Ding, Shengnan Chen, Yan Li

“…Therefore, this study explores the potential of autonomic response signals for assessing the olfactory preferences.MethodsThis paper develops a machine learning model that classifies the olfactory preferences of drivers based on physiological signals. …”
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Continuous professional development and instructors’ beliefs about and practice of active learning method in Bahir Dar university by Mulugeta Teka Kahsay

“…They responded to a questionnaire having two parts: beliefs about active learning methods and application of active learning methods. …”
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Design of an Iterative Method for Time Series Forecasting Using Temporal Attention and Hybrid Deep Learning Architectures by Yuvaraja Boddu, A. Manimaran

“…Additionally, by representing the multivariate time series data as a graph in which variables are nodes connected by edges denoting temporal relationships, TGAMTSA leverages Graph Neural Networks (GNNs) to decode complex inter-variable dependencies, resulting in a 20% improvement in prediction accuracy over traditional methods. Transfer Learning and Domain Adaptation strategies further enhance the framework’s adaptability. …”
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A Novel Deep Learning Zero-Watermark Method for Interior Design Protection Based on Image Fusion by Yiran Peng, Qingqing Hu, Jing Xu, KinTak U, Junming Chen

“…To solve the above problems, we propose a deep learning-based zero-watermark copyright protection method. …”
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Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning by Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li

“…However, the difficulty of making cast thin sections, the complexity of the making process and the high cost of thin section annotation have led to a lack of cast thin section images, which cannot meet the training requirements of deep learning image recognition models. In order to increase the sample size and improve the training effect of deep learning model, we proposed a generation and annotation method of thin section images of tight oil reservoir based on deep learning, by taking Fuyu reservoir in Sanzhao Sag as the target area. …”
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The learning curve for lumbar discectomy in unilateral biportal endoscopic spine surgery using the cumulative summation method by Takaki Yoshimizu, Sanshiro Saito, Teruaki Miyake, Tetsutaro Mizuno, Ushio Nosaka, Keisuke Ishii, Mizuki Watanabe, Kanji Sasaki

“…However, the general value of the learning curve for discectomy by UBE is unknown. This retrospective study aimed to determine the learning curve of UBE for lumbar discectomy using a cumulative summation (CUSUM) method. …”
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Prediction of Banks Efficiency Using Feature Selection Method: Comparison between Selected Machine Learning Models by Hamzeh F. Assous

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Application of the case-based learning combined with the BOPPPS teaching method in standardized training of orthopedic resident physicians by LIAO Bo, ZHANG Xiaoping, ZHAO Hai'en, YAN Kang, ZHAO Jian, DONG Xin

Subjects: “…boppps teaching method…”
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Implementation of Project-based Learning Method to Enhance Numeracy Ability of Procedural Text Material of English Subject by Margarett Henni Pratiwi, Herlinawati Herlinawati

“…The National Examination (Ujian Nasional/UN) has been replaced by the National Assessment (Asesmen Nasional/AN), which includes the Minimum Competency Assessment (Asesmen Kompetensi Minimum/AKM), a character survey, and an assessment of the learning environment. The basis of this research lies in the observation that numerous teachers still employ a monotonous teaching style, leading to students feeling sleepy during the learning process due to the teacher’s ineffective methods. …”
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A novel method to predict white blood cells after kidney transplantation based on machine learning by Songping He, Xiangxi Li, Zunyuan Zhao, Bin Li, Xin Tan, Hui Guo, Yanyan Chen, Xia Lu

“…Methods A total of 546 kidney transplant patients were selected as the study subjects. …”
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Analysis of the learning curve for unilateral biportal endoscopic technique using CUSUM method on fresh frozen cadavers by Han Wang, Xinzhi Li, Bo Li, Junsheng Du, Zenan Meng, Wenyao Chen, Xiangyong Que, Chongyu Huang, Yi Li, Jie Wang, Abulimiti Mireadeli

“…Methods The analysis was conducted on three spine surgeons without UBE experience. …”
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Fault diagnosis method for underground coal mining equipment audio signals based on improved transfer learning by QIU Ji'er, WANG Qi, WANG Peng

“…To address these issues, an underground coal mining equipment audio signal fault diagnosis method based on improved transfer learning is proposed. …”
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CTLL: A Cell-Based Transfer Learning Method for Localization in Large Scale Wireless Sensor Networks by Zhanyong Tang, Jie Zhang, Xiaoqing Gong, Xiaohua Cheng, Xiaojiang Chen, Dingyi Fang, Wei Wang

“…The method combines samples transfer learning and SVR (Support Vector Regression) regression model to get a better performance of localization. …”
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Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method by Suha Falih Mahdi Alazawy, Mohammed Ali Ahmed, Saja Hadi Raheem, Hamza Imran, Luís Filipe Almeida Bernardo, Hugo Alexandre Silva Pinto

“…This study aims to develop a reliable method for predicting power plant construction costs during the early planning stages using ensemble machine learning techniques. …”
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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

“…This paper proposes a fault location method for the valve area of a converter station based on metric learning and knowledge reasoning, which addresses the problems of low efficiency, long time consumption, and heavy dependence on the level of operating personnel in manual fault location. …”
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Machine learning-based prediction method for open-pit mining truck speed distribution in manned operation by Changyou XU, Gang CHEN, Qiuxia ZHANG, Bo WANG, Hongwang ZHANG, Hongrui LI, Weiwei QIN, Muyang LI

“…Open-pit mining is a significant method for coal mining, making it crucial to enhance the transportation efficiency of mining trucks. …”
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Numerical Study of Rectangular Tank with Sloshing Fluid and Simulation of the Model Using a Machine Learning Method by Hossein Goudarzvand Chegini, Gholamreza Zarepour

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Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning by Van-Phuong Ha, Dinh-Van Nguyen, Trong-Chuong Trinh, Duc-Cuong Quach, Van HuyBui

“…In this study, a novel method for addressing these problems is proposed. …”
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A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

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