A Hair Drawing Evaluation Algorithm for Exactness Assessment Method in Portrait Drawing Learning Assistant System by Yue Zhang, Nobuo Funabiki, Erita Cicilia Febrianti, Amang Sudarsono, Chenchien Hsu

“…For <i>PDLAS</i>, we have also presented the <i>exactness assessment method</i> to evaluate drawing accuracy using the <i>Normalized Cross-Correlation (NCC)</i> algorithm. …”
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Dual time scale network slice resource allocation method based on limited memory and probability learning by Shao Feng, Sun Jun

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The Design of Critical Care Information System Supporting Clinical Decision Based on Deep Learning Recognition Method by Qian Lu, Wei Zhao, Zhongpeng Li, Ranfeng Liu

“…Based on previous studies, two unsupervised learning methods based on machine learning are proposed, namely user collaborative filtering and RBM, to improve CDSS. …”
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A drug response prediction method for single-cell tumors combining attention networks and transfer learning by BingWei Zhou, BingWei Zhou, SiLin Sun, SiLin Sun, ShengZheng Liu, ShengZheng Liu, HaiXia Long, HaiXia Long, YuChun Li, YuChun Li

“…IntroductionAccurately predicting tumor cell line responses to therapeutic drugs is essential for personalized cancer treatment. Current methods using bulk cell data fail to fully capture tumor heterogeneity and the complex mechanisms underlying treatment responses.MethodsThis study introduces a novel method, ATSDP-NET (Attention-based Transfer Learning for Enhanced Single-cell Drug Response Prediction), which combines bulk and single-cell data. …”
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Intelligent penetration testing method for power internet of things systems combining ontology knowledge and reinforcement learning. by Shoudao Sun, Yi Lu, Di Wu, Guangyan Zhang

“…Given the complexity of power IoT systems and the limitations of traditional manual testing methods, this paper proposes an automated penetration testing method that combines prior knowledge with deep reinforcement learning. …”
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Development and Validation of the Pre-service Teacher Competency Scale in an Online Learning Environment Using the Scenario Method by Jiwon Baek, Jiwoo Kim, Hyeonseong Lee, Youn-Jeng Choi

“…This study aims to address this gap by developing and validating a scale to measure pre-service teacher competency in an online learning context using the scenario method. After a comprehensive literature review, seven competencies of pre-service teachers in an online learning environment were constructed: design/planning competency, social competency, instructive competency, technological competency, management competency, positive teacher attitude competency, and learning competency. …”
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A Recognition Method for Adzuki Bean Rust Disease Based on Spectral Processing and Deep Learning Model by Longwei Li, Jiao Yang, Haiou Guan

“…To address this issue, a diagnosis method of adzuki bean rust disease was proposed using spectroscopy and deep learning methods. …”
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Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms by Pavel A. Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky

“…Furthermore, the efficacy of this method will be evaluated through its application in deep machine learning algorithms.…”
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Retracted: Research on the Integration Method of Character Costume Culture in Dunhuang Murals Based on Deep Learning Algorithm by International Journal of Antennas and Propagation

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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…This tool leverages the strengths of multiple regression-based and probabilistic machine learning methods, including LASSO (see the list of abbreviations in Appendix B), support vector machine, classification and regression trees, random forest, extreme gradient boosting, Gaussian process regression, and Bayesian ridge regression. …”
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Design and Multi-Objective Optimization of Auxetic Sandwich Panels for Blastworthy Structures Using Machine Learning Method by Andika, Sigit Puji Santosa, Djarot Widagdo, Arief Nur Pratomo

“…Optimization is carried out using the nondominated sorting genetic algorithm II (NSGA-II) method. The optimization results show significant improvements in blastworthiness performance, with notable reductions in permanent displacement and enhancements in specific energy absorption (SEA). …”
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Efforts To Improve Arabic Languege Learning Outcomes Using Audio Visual Based Touchable Grammatical Method by Sri Puspita br Sitepu, San Putra

“…Translation is the main strategy in the teaching process in order for this method to be more effective, audio-visual media are used as a tool in delivering material The use of this media allows the presentation of information more interactively through a combination of sound and images, so that it not only makes learning more interesting but also contributes to improving student learning outcomes, especially in the Arabic language learning process. …”
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A data sharing method for remote medical system based on federated distillation learning and consortium blockchain by Ning Li, Ruijie Zhang, Chengyu Zhu, Wei Ou, Wenbao Han, Qionglu Zhang

“…Experimenting on COVID-19 radiography and COVID-Chestxray datasets shows our method can reduce communication cost, and the performance is higher than FedAvg, FedDF, and FedGen. …”
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Effective Cultivated Land Extraction in Complex Terrain Using High-Resolution Imagery and Deep Learning Method by Zhenzhen Liu, Jianhua Guo, Chenghang Li, Lijun Wang, Dongkai Gao, Yali Bai, Fen Qin

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STRUCTURAL RELIABILITY ANALYSIS METHOD BASED ON COLLABORATION-MEAN POINT CONSTRAINED ACTIVE LEARNING SURROGATE MODEL

“…The reliability of mechanical structures is crucial for their safe operation,to address the problem of low accuracy and low efficiency in reliability analysis of complex mechanical structures,a new active learning surrogate model based reliability analysis method was proposed.The spatial location characteristics of excellent fitting samples were studied and three constraints,such as surface constraint,distance constraint,and domain constraint,were proposed accordingly.Correspondingly,three control functions were established to achieve the three constraints.Then,three control functions were organically collaborated,and an effective new learning function,collaboration-mean point constrained learning(CPCL)function was proposed.Combined with the augmented radial basis function(ARBF),a collaboration-mean point constrained active learning surrogate model(ARBF+CPCL)reliability analysis method was established.Finally,three cases were employed to verify the high computational accuracy and computational efficiency of ARBF+CPCL reliability analysis method,and the application ability of ARBF+CPCL method in practical engineering cases was proved through the reliability analysis example of the turbine disk.…”
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Multi-Timescale Voltage Control Method Using Limited Measurable Information with Explainable Deep Reinforcement Learning by Fumiya Matsushima, Mutsumi Aoki, Yuta Nakamura, Suresh Chand Verma, Katsuhisa Ueda, Yusuke Imanishi

“…Based on these estimated voltages, the method determines optimal LRT tap positions and PCS reactive power outputs using Deep Reinforcement Learning (DRL). …”
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Power Quality Disturbance Classification Method Based on Unscented Kalman Filter and Kernel Extreme Learning Machine by Yanjun Jiao, Haoyu Cao, Linke Wang, Jiahui Wei, Yansong Zhu, Hucheng He

“…Considering the limitations of the traditional time–frequency domain method and the complexity of the optimization algorithm in extracting features, a novel algorithm is proposed to classify the PQDs in this paper, which is based on the unscented Kalman filter (UKF) and the kernel extreme learning machine (KELM). …”
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Short-Term Power Prediction for Wind Farm and Solar Plant Clusters Based on Machine Learning Method by Yang CUI, Zhenghong CHEN, Peihua XU

“…Therefore, this paper proposes a method for short-term regional wind and PV power prediction based on feature clustering. …”
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Research on Medical Text Parsing Method Based on BiGRU-BiLSTM Multi-Task Learning by Yunli Fan, Ruiqing Kang, Wenjie Huang, Lingyan Li

“…On this basis, this paper builds a multi-task learning model based on BiGRU-BiLSTM, and uses CBLUE and CMID databases to verify the method. …”
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DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions by Chao Cao, Mengli Li, Chunyu Wang, Lei Xu, Quan Zou, Yansu Wang, Wu Han

“…Results To address these issues, we innovatively propose a novel deep graph collaboration learning method for circRNA-miRNA interaction, called DGCLCMI. …”
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