Automatic vein measurement by ultrasonography to prevent peripheral intravenous catheter failure for clinical practice using artificial intelligence: development and evaluation stu... by Hiromi Sanada, Toshiaki Takahashi, Gojiro Nakagami, Ryoko Murayama, Mari Abe-Doi, Masaru Matsumoto

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Dynamic Path Planning of Unknown Environment Based on Deep Reinforcement Learning by Xiaoyun Lei, Zhian Zhang, Peifang Dong

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The Effects of Virtual Reality-Based Task-Oriented Movement on Upper Extremity Function in Healthy Individuals: A Crossover Study by Tuba Maden, Halil İbrahim Ergen, Zarife Pancar, Antonio Buglione, Johnny Padulo, Gian Mario Migliaccio, Luca Russo

“…<i>Materials and Methods</i>: This study aimed to investigate the effects of VR-based task-oriented movement on the upper extremity of healthy individuals. …”
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TRAINING OF KAHOOT! AS AN INTERACTIVE GAME-BASED LEARNING EVALUATION PLATFORM FOR STUDENTS by Army Justitia, Badrus Zaman, Rimuljo Hendradi, Fitri Retrialisca, Roslinda Salim

“…Objective: This community service aims to improve the skills of teachers / educators to provide interactive learning and evaluation media based on game learning. …”
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Reinforcement Learning-Based Generative Security Framework for Host Intrusion Detection by Yongsik Kim, Su-Youn Hong, Sungjin Park, Huy Kang Kim

“…Based on the extracted keywords, the pre-trained Seq2Seq model generate rules according to the reward calculation method in reinforcement learning. …”
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Research on Intelligent Detection and Segmentation of Rock Joints Based on Deep Learning by Lei Peng, Haibo Wang, Chun Zhou, Feng Hu, Xiaoyang Tian, Zhu Hongtai

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Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning by Bimal Bhattarai, Rohan Kumar Yadav, Hui-Seon Gang, Jae-Young Pyun

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Tooth image segmentation and root canal measurement based on deep learning by Ziqing Chen, Qi Liu, Jialei Wang, Nuo Ji, Yuhang Gong, Bo Gao

“…IndroductionThis study aims to develop a automated method for tooth segmentation and root canal measurement based on cone beam computed tomography (CBCT) images, providing objective, efficient, and accurate measurement results to guide and assist clinicians in root canal diagnosis grading, instrument selection, and preoperative planning.MethodsWe utilizes Attention U-Net to recognize tooth descriptors, crops regions of interest (ROIs) based on the center of mass of these descriptors, and applies an integrated deep learning method for segmentation. …”
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Problem-based learning versus teaching personal social responsibility: efforts to improve students' responsible attitudes and learning motivation by Feby Elra Perdima, Suwarni, Makhaya Johannes Malema, Zukhro Bahadirovna Khamraeva, Edi Setiawan

“…Research Objectives: This study aims to investigate the effects of problem-based learning (PBL) and teaching personal social responsibility (TPSR) models towards the improvement of students' responsibility attitudes and learning motivation. …”
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Plucking Point and Posture Determination of Tea Buds Based on Deep Learning by Chengju Dong, Weibin Wu, Chongyang Han, Zhiheng Zeng, Ting Tang, Wenwei Liu

“…In order to improve the accuracy and efficiency of machine plucking tea leaves, a method is presented in this paper to determine the plucking point and plucking posture based on the instance segmentation deep learning network. …”
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Deep learning-based system for prediction of work at height in construction site by Ibrahim Karatas

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Research on leaf identification of table grape varieties based on deep learning by PAN Bowen, LIN Meiling, JU Yanlun, SU Baofeng, SUN Lei, FAN Xiucai, ZHANG Ying, ZHANG Yonghui, LIU Chonghuai, JIANG Jianfu, FANG Yulin

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Optimization research on UAV semantic communication system based on SVD-MADRL by Yibo Yang, Yahe Tan, Liu Liu

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Problem-Based Learning Model with Video Media to Improve Writing Skills by F. Siburian, Sutama Sutama

“…Students also gave a very positive response in participating in learning to write critical response texts by applying a problem-based learning model assisted by video media with a score of 22.89. …”
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ENHANCING MEDIA AND INFORMATION LITERACY THROUGH EXPERIENTIAL GAME-BASED LEARNING by Huey Shyh Tan, Soon Hin Hew, Heidi Yeen Ju Tan

“…Qualitative feedback further revealed enhanced understanding of MIL concepts, strengthened sense of responsible digital citizenship, and affirmation of the experiential game-based approach as an effective learning method. …”
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Author’s agency in a research article: From the grammar of language to the grammar of communication by S. A. Sheypak

“…This paper aims to suggest a framework for informal practices based on autonomy and the collective organisation of authors to construct an authorial position in the manuscript or author’s agency toward a target journal.Methodology and research methods. …”
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Character-Based Affective Assessment Concept in Modern Learning in Elementary School by M. Hulkin, Shaleh

“…The research purpose is to determine the concept of character-based affective assessment to foster attitudes and values in modern learning and integrate affective assessment approaches in curriculum and teaching methods to effectively enhance positive character formation and the development of desired values in the context of modern era-oriented education. …”
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Developing an Organization’s Corporate Knowledge Through Action-based Learning Technologies by T. V. Aleksandrova, V. L. Popov

“…The paper explores the impact of learning technologies on the development of the corporate knowledge base of modern organizations. …”
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Elementary School Students' Perceptions of STEM-Based Mobile Learning Applications by Reza Rachmadtullah, Evita Purnaningrum, Suharni

“…This study aims to investigate how elementary school students perceive STEM-Based Mobile Learning Application Technology. The research method used for this study is qualitative, emphasizing discourse analysis and conversational analysis. …”
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Civil aircraft longitudinal center-of-gravity position estimation combining domain knowledge and simulation data by Shaobo Zhai, Guangwen Li, Xinyang Du, Mingshan Hou

“…A novel aircraft LCG position estimation algorithm combining extreme learning machine (ELM) and particle swarm optimization (PSO) is developed. …”
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