Simulative learning in the room of horror – a method to enhance patient safety in undergraduate nursing education by Hauff, Vivian, Homann, Laura, Tannen, Antje

“…Methods: At the end of their first semester, undergraduate nursing students participated in a room of horror exercise designed following the Swiss manual for interactive learning. …”
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A Scalable and Coordinated Energy Management for Electric Vehicles Based on Multiagent Reinforcement Learning Method by Ruien Bian, Xiuchen Jiang, Guoying Zhao, Yadong Liu, Zhou Dai

“…Compared to other advanced reinforcement learning (RL) models, numerical simulations conducted on IEEE test cases greatly illustrate the effectiveness and superiority of the proposed method.…”
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Machine learning for efficient CO2 sequestration in cementitious materials: a data-driven method by Yanjie SUN, Chen ZHANG, Yuan-Hao WEI, Haoliang JIN, Peiliang SHEN, Chi Sun POON, He YAN, Xiao-Yong WEI

“…However, relying merely on experiments on specific materials or some simple empirical methods makes it difficult to provide a comprehensive understanding. …”
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Research on Reservoir Hydrocarbon-Bearing Property Identification Method Based on Logging Data and Machine Learning by Chunyong Yu, Kaixuan Qu, Li Peng

“…Although various evaluation methods based on well-logging data can reasonably interpret the hydrocarbon-bearing property of most reservoirs, these methods often exhibit significant randomness and ambiguity. …”
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A Multi-Robot Collaborative Exploration Method Based on Deep Reinforcement Learning and Knowledge Distillation by Rui Wang, Ming Lyu, Jie Zhang

“…We conducted experiments on our proposed method within simulated environments. The experimental results show the adaptability of our proposed method to various sizes of environments and its superior performance compared to the current mainstream methods.…”
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Problem-Oriented Learning as a Method of Developing Soft Skills Among Students of Pedagogical Specialties by Perizat Sanatbay, Guldana Smailova, Kadisha Shalgynbayeva, Marziya Asilbekova, Anar Tauekelova

“…The present study is aimed at studying the effectiveness of problem-based learning (PBL) as a method of forming key soft skills among students of the educational program “Social Pedagogy” of the L.N. …”
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Sustainable development goal 6 monitoring through statistical machine learning – Random Forest method by Murilo de Carvalho Marques, Abdoulaye Aboubacari Mohamed, Paulo Feitosa

“…These results underscore the method's ability to enhance data granularity and reliability, supporting informed decision-making in ecosystem management. …”
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Power system corrective control considering topology adjustment: An evolution-enhanced reinforcement learning method by Haoran Zhang, Peidong Xu, Ji Qiao, Yuxin Dai, Yuyang Bai, Tianlu Gao, Fan Yang, Jun Zhang, Jun Hao, Wenzhong Gao

“…It outperforms traditional corrective control methods and mainstream deep reinforcement learning algorithms. …”
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Multi-scale eddy identification and analysis based on deep learning method and ocean color data by Meng Hou, Lixing Fang, Kai Wu, Jie Yang, Ge Chen

“…Additionally, certain deep-learning-based methods failed to delineate the contours of eddies when applied to these data. …”
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A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data by Zhenzhen Wang, Junde Xie, Jia Zhang

“…Addressing class imbalance in breast cancer data is essential for enhancing detection accuracy, yet traditional machine learning methods often overlook this imbalance, limiting their classification performance. …”
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A Class-Incremental Learning Method for Interactive Event Detection via Interaction, Contrast and Distillation by Jiashun Duan, Xin Zhang

“…To tackle these challenges, we propose a class-incremental learning method for interactive event detection via <b>I</b>nteraction, <b>C</b>ontrast and <b>D</b>istillation (ICD). …”
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Decision-Making Policy for Autonomous Vehicles on Highways Using Deep Reinforcement Learning (DRL) Method by Ali Rizehvandi, Shahram Azadi, Arno Eichberger

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TrapMI: A Data Protection Method to Resist Model Inversion Attacks in Split Learning by Hyunsik Na, Daeseon Choi

“…Split learning is a neural network training approach that can overcome the limitations of traditional deep neural networks in edge artificial intelligence environments. …”
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A redundant weight removal method inspired by specific immunotherapy for boosting transfer learning security by Qing Huang, Hongli Deng, Junxiang Wang, Tao Yang, Bochuan Zheng

“…Currently, redundant weights are removed mainly through pruning algorithms designed by correlating student data with teacher model nodes. However, these methods do not consider the ability of nodes to resist disturbance signals and malicious injection, limiting the application of transfer learning. …”
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Improved deep learning method and high-resolution reanalysis model-based intelligent marine navigation by Zeguo Zhang, Zeguo Zhang, Zeguo Zhang, Liang Cao, Liang Cao, Liang Cao, Jianchuan Yin, Jianchuan Yin, Jianchuan Yin

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NEW METHOD FOR BEARING INTELLIGENT DIAGNOSIS BASED ON COMPRESSED SENSING AND MULTILAYER EXTREME LEARNING MACHINE by CHEN WanSheng, WANG Zhen, ZHAO HongJian, WANG FengTao

“…In order to solve the above problems,a new bearing fault diagnosis method combining Compressed Sensing（ CS） and Multilayer Extreme Learning Machine（ ML-ELM） is proposed. …”
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Efficient Method of Road Outlier Recognition Using Deep Learning Coupled with Data Augmentation Approach by Sarfaraz Natha, Fareed Ahmed Jokhio, Muhammad Shafique, Naeem Ahmed, Danish Munir Arain

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An Approach to Truck Driving Risk Identification: A Machine Learning Method Based on Optuna Optimization by Zhaofei Wang, Hao Li, Qiuping Wang

“…In order to provide safe development of road freight traffic, this paper proposes a truck driving risk identification method based on Optuna optimization of machine learning model. …”
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Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

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Strategies for teaching English spelling and reading by Daniela Sorádová

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