Integrating challenge-based learning and agile methodologies to transform vocational training by Fernando González-Ferriz

“…Methodology: The study integrates Challenge Based Learning (CBL) in Vocational Training with the SCRUM methodology. …”
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Deep Learning-Based Sentiment Analysis Using Gated Recurrent Unit by Najeem Olawale Adelakun, Mariam Adenike Lasisi

“…This study addresses this challenge by employing a deep learning-based approach using Gated Recurrent Units (GRU) for sentiment analysis, thereby enhancing the accuracy of financial market predictions. …”
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Deep Learning-Based Pulmonary Nodule Screening: A Narrative Review by Abhishek Mahajan, Ujjwal Agarwal, Rajat Agrawal, Aditi Venkatesh, Shreya Shukla, K S. S. Bharadwaj, M L. V. Apparao, Vivek Pawar, Vivek Poonia

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Deep learning based screening model for hip diseases on plain radiographs. by Jung-Wee Park, Seung Min Ryu, Hong-Seok Kim, Young-Kyun Lee, Jeong Joon Yoo

“…This study aimed to develop and validate a deep learning-based screening model for distinguishing normal hips from severe hip diseases on plain radiographs.…”
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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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A New Hyperspectral Image Identification Method Based on LSDA and OSELM by Chengjiang Zhou, Mingli Yang, Sasa Duan, Lu Shao, Zhilin Zhang, Yunfei Liu

“…To solve the problems of information loss and nonlinear transformation of hyperspectral image dimensionality reduction methods and the problem that recognition methods are sensitive to noise and cannot be trained online, a new hyperspectral image identification method based on locality sensitive discriminant analysis (LSDA) and online sequential extreme learning machine (OSELM) is proposed. …”
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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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Construction and analysis of China’s carbon emission model based on machine learning by Jian Sun, Xinzi Wang, Mengkun Liang, Xiaoru Ren, Xuezhi Liu

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ANALYSIS OF INTERPRETATION ABILITY AND MATHEMATICAL DISPOSITION BASED ON STUDENTS' LEARNING MOTIVATION by Silmi Nursyahidah, Supratman Supratman, Sinta Verawati Dewi

“…This study examines students' mathematical interpretation abilities and dispositions based on their learning motivation levels (high, medium, and low). …”
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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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THE EFFECTS OF CREATIVE PROBLEM SOLVING-BASED LEARNING TOWARDS STUDENTS’ CREATIVITIES by Triyono Triyono, Senam Senam, Jumadi Jumadi, Insih Wilujeng

“…The results show that there was a positive effect of creative problem solving-based learning on students’ creative abilities. …”
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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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Lightweight Infrared Small Target Detection Method Based on Linear Transformer by Bingshu Wang, Yifan Wang, Qianchen Mao, Jingzhuo Cao, Han Zhang, Laixian Zhang

“…To deal with the issues, we propose a lightweight infrared small target detection method based on a linear transformer named IstdVit, which achieves high accuracy and low delay in infrared small target detection. …”
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Modern methods of learning geographical nomenclature using toponymy in the course of «Geography of Russia. Nature and population» at school by T. G. Tuova, F. D. Teuchezh, F. V. Tuguz

“…The relevance of the research. Formed interest in learning is the basis for enhancing the cognitive activity of schoolchildren; creation of a positive motivation for learning, which will lead to positive motives for learning, that subsequently turn into a stable interest in learning, and interest into the need for learning. …”
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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods by Eylem Gul Ates, Gokcen Coban, Jale Karakaya

“…Patients were stratified into COVID-19-positive (<i>n</i> = 30) and COVID-19-negative (<i>n</i> = 27) groups based on PCR results. …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This study highlights the technological integration, addresses the challenges, and the substantial enhancements in automated machining processes facilitated by this innovative approach.Methods This study introduces a sophisticated Multi-level Video Transformer algorithm-based video classification model, the Multi-level Video Transformer, designed for high-level semantic video representation learning. …”
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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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Parameter Identification of Permanent Magnet Synchronous Motor Based on LSOSMO Algorithm by Songcan Zhang, Zhuangzhuang Zhou, Yi Pu, Yan Li, Yingxi Xu

“…Then, in the local leader stage and the local leader decision stage of the SMO, the dynamic probability adaptive T-distribution method and opposition-based learning strategy are used to replace the greedy selection strategy, increase the position disturbance, and balance the global search and local search ability of the algorithm, so as to improve the performance and convergence speed of the algorithm. …”
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Empowering Youth Through the Power of Reflective Journaling: Understanding Life Skills from the Reflections of Youth by Dawn Anderson-Butcher, Tarkington J Newman, Ellen Williams

“…Youth sport research has routinely suggested that sport has the potential to serve as a meaningful context for learning. particularly when programs are designed to promote positive youth development (PYD) outcomes. …”
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Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion by Deyong Guan, Qi Wang, Ke Wang, Xinyu Song

“…Firstly, features were extracted through time, frequency domain, and nonlinear analyses, and non-parametric tests were performed to analyze the differences in these features under different driving states, thus selecting an effective feature subset. Secondly, based on this, an impaired driving state recognition model was established by combining feature recursive elimination and machine learning, and the impact of different modal inputs on the model performance was analyzed. …”
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