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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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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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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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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Home-based nurturing care practices for children under five with low socioeconomic position in Santo Domingo, Dominican Republic. by Adrianne Katrina Nelson, Laura Sánchez-Vincitore, Melanie Patricia Frias, Michelle Marie Susana, Carl Kendall, Katherine Theall, Martha Vibbert, Heidi Luft, Arachu Castro

“…<h4>Methods</h4>We conducted a sociodemographic survey and semi-structured qualitative interview with 25 mothers ages 19-42 (7 under the age of 18 at first birth) with low socioeconomic position and children under five that live in the capital city Santo Domingo. …”
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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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Comparison of the effects of group and individual reflection methods on self-regulated learning strategies and learning motivation among emergency medical technicians: a quasi-expe... by Naser Darvishi Tabas, Zahra Amouzeshi, Seyyed Abolfazl Vagharseyyedin

“…Abstract Background Reflection is an essential educational practice often characterized as a self-regulated learning activity. Self-regulated learning has been shown to positively influence learning motivation and metacognition. …”
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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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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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Bottlenose dolphin identification using synthetic image-based transfer learning by Changsoo Kim, Byung-Yeob Kim, Dong-Guk Paeng

“…In this study, we used synthetic image generation and deep learning to improve photography-based IPBD identification. …”
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Deep learning-based system for prediction of work at height in construction site by Ibrahim Karatas

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Local corner smoothing based on deep learning for CNC machine tools by Bai Jiang, Rong Sun, Ze-long Li, Liang Xu, Huang Liao, Xiao-yan Teng, Bing Li

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Metric-Based Few-Shot Learning With Triplet Selection for Adaptive GNSS Interference Classification by Felix Ott, Lucas Heublein, Tobias Feigl, Alexander Rugamer, Christopher Mutschler

“…In addition, we conducted a benchmark evaluation of state-of-the-art triplet learning methodologies utilizing GNSS datasets. Our method incorporates quadruplet selection, allowing the model to learn representations from various classes of positive and negative interference. …”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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The impact of project-based learning on mathematics interest and self-efficacy among senior high school students by Arief Aulia Rahman, Nyak Wha Usalmy, César Hernández, Craig N Refugio

“… This research sought to explore how the Project-Based Learning (PjBL) model affects the learning interest and self-efficacy of eleventh-grade students in Senior High School. …”
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Analysis of 19.9 million publications from the PubMed/MEDLINE database using artificial intelligence methods: approaches to the generalizations of accumulated data and the phenomen... by I. Yu. Torshin, O. A. Gromova, L. V. Stakhovskaya, N. P. Vanchakova, A. N. Galustyan, Zh. D. Kobalava, T. R. Grishina, A. N. Gromov, I. A. Ilovaiskaya, V. M. Kodentsova, A. G. Kalacheva, O. A. Limanova, V. A. Maksimov, S. I. Malyavskaya, E. V. Mozgovaya, N. I. Tapilskaya, K. V. Rudakov, V. A. Semenov

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Perceived learning gaps in paediatric anaesthesia training: A cross-sectional survey by Vasudha Devi, Vinod Pallath, Balasubramaniam Gayathri, Shantanu S. Patil

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Integrasi Project-Based Learning dalam Pendidikan Agama Islam: Strategi, Tantangan, dan Efektivitas by Lutfi Rachman, Nurhanifansyah Nurhanifansyah

“…Education the current era increasingly recognizes Project-Based Learning (PBL) as an innovative approach to enhance student engagement and the relevance of learning. …”
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