Deep learning-based temperature detection for group-raised pigs via thermal images by Xiaowen Liu, Xueting Zeng, Mengyuan Chu, Qian Li, Gang Liu

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From shadowing to active learning: exploring the impact of supervised teaching clinics on gynecology education by Sangsang Ren, Hong Zhan, Asanga Fernando, Asanga Fernando, Xiangrong Xu, Weiguo Lu

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The Impact of Team-Based Learning on Anxiety Among Graduate Students in a Data Science Master's Program by Andrea Marques, Maria Anastasiadou, Roberto Henriques

“…Objectives: This study aims to explore the impact of Team-Based Learning (TBL) on anxiety levels (AL) among master’s students in Data Science, particularly how TBL influences students' anxiety in academic settings and contributes to their engagement, skill development, and learning awareness. …”
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Research on detection and tracking methods of unmanned ship water targets based on light vision by LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao

“…This study explores technical methods based on light vision to address the problem of target detection and tracking by surface unmanned ships in complex environments. …”
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Determining AI-Based Learning Adoption Model for Students in Entrepreneurship Education: A Design Thinking Approach by Cep Abdul Baasith Wahpiyudin, Sabda Alam Muhammadan, Riska Amalia, Adelia Chrisanta, Asep Taryana

“…Findings: Results indicate that learning motivation significantly affects students' intentions to engage with AI-based systems, positively impacting attitudes toward AI. …”
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Supervised Reinforcement Learning-Based Collaborative Master–Slave Harvest Control Study in Wheat by Zhikai Ma, Chao Zhang, Wei Wang, Hao Wang, Helong Yu, Chunjiang Zhao

“…Aiming at the difficulty of controlling the longitudinal relative position of agricultural machines during the agricultural master–slave navigation cooperative operation and the weak adaptability of the unitary traditional control method in the face of the working conditions of complex farmland environments, this paper proposes a supervised reinforcement learning (SRL)-based longitudinal stable and safe control method applicable to master–slave navigation harvesting and unloading operations. …”
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Exploring the Impact of Reciprocal Teaching Methods on Problem-Solving Skills, Learning Speed, Metacognitive Knowledge, and Academic Self-Concept by Soghra Ebrahimi Ghavam, Mahshid Pourhosein, Mehdi Aslanzadeh

“…Objective: The present study investigated the effectiveness of the reciprocal teaching method on problem-solving skills, learning speed, metacognitive knowledge, and academic self-concept of seventh-grade female students in Tehran city. …”
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Virtual reality for experiential learning: enhancing agitation management skills, confidence, and empathy in healthcare students by Gabrielle Wann Nii Tay, Mian Mian Tong, John Yap, Hon Keat Mak, Shawn Yong Shian Goh, Cyrus Su Hui Ho

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Sentiment Analysis and Classification of User Reviews of the 'Access by KAI' Application Using Machine Learning Methods to Improve Service Quality by Hildegardis Kristina saka, Putri Taqwa Prasetyaningrum

“…User reviews are collected and processed through preprocessing stages, balancing using the SMOTE method, and classified using three machine learning algorithms, namely Support Vector Machine (SVM), Decision Tree, and Logistic Regression. …”
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Feasibility of face-to-face and online learning methods to provide nutrition education to midwives, general practice nurses and student nurses by Catherine Jane Lucas, Ellen Lyell, Britney Koch, Victoria Elder, Leanne Cummins, Sarah Lambert, Anne T McMahon, Karen E Charlton

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Detection of Apple Sucrose Concentration Based on Fluorescence Hyperspectral Image System and Machine Learning by Chunyi Zhan, Hongyi Mao, Rongsheng Fan, Tanggui He, Rui Qing, Wenliang Zhang, Yi Lin, Kunyu Li, Lei Wang, Tie’en Xia, Youli Wu, Zhiliang Kang

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Machine Learning-Based Model Used for Predicting the Risk of Hepatocellular Carcinoma in Patients with Chronic Hepatitis B by Wu T, Yan J, Xiong F, Liu X, Zhou Y, Ji X, Meng P, Jiang Y, Hou Y

“…The ANN model proficiently categorized patients into low-risk and high-risk groups based on their 10-year projections. In the training cohort, the positive predictive value (PPV) for the incidence of liver cancer in low-risk individuals was 92.5% (95% CI 0.921– 0.939), whereas the negative predictive value (NPV) stood at 88.2% (95% CI 0.870– 0.894). …”
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Handling method for GPS outages based on PSO-LSTM and fading adaptive Kalman filtering by Xiaoming Li, Xianchen Wang, Can Pei

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Project-Based Learning in Advanced Engineering Schools: Keeping Personal Education Ahead of the Curve by Anastasia D. Melnik, Anatolii V. Merenkov, Daniil G. Sandler

“…The discussion about project-based learning centers on the challenges of interrelation bet­ween higher education and the labor market and the development of proactive teaching methods in universities. …”
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Non-digital game-based learning: a powerful tool to teach theories of architecture by Alia Sameh Okasha

“…While the conclusion stresses the role of fun and active learning, it suggests a gradual shift from non-digital to digital game-based learning and highlights that these methods require significant further investigation.…”
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Inclusive learning innovation with mobile-based bilingual interactive games for slow learner students by Suastika Yulia Riska, Widya Adhariyanty Rahayu, Abdul Aziz Muslim

“…The results of the implementation show that the use of this game has a positive impact on the understanding of slow-learner students in bilingual learning, increase learning motivation, and assists teachers in integrating technology into teaching methods. …”
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Dual-Domain Multi-Task Learning-Based Domain Adaptation for Hyperspectral Image Classification by Qiusheng Chen, Zhuoqun Fang, Shizhuo Deng, Tong Jia, Zhaokui Li, Dongyue Chen

“…Furthermore, we design a feature-level data augmentation method based on feature masking to assist contrastive learning tasks and generate more varied training data. …”
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Using traffic data to identify land-use characteristics based on ensemble learning approaches by Jiahui Zhao, Zhibin Li, Pan Liu

“…Regarding the identification models, two widely used Ensemble learning methods: Random Forest and Adaboost, are introduced to classify the land-use type and fit the land-use density. …”
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Deep learning-based time series prediction in multispectral and hyperspectral imaging for cancer detection by Lijun Hao, Changmin Wang, Jinshan Che, Mingming Sun, Yuhong Wang

“…Deep learning has recently been introduced to address these limitations, yet existing models often lack robust feature extraction, generalization capability, and effective domain adaptation strategies.MethodsIn this study, we propose a novel deep learning-based time series prediction framework for multispectral and hyperspectral medical imaging analysis. …”
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Deep Learning-Based Feature Matching Algorithm for Multi-Beam and Side-Scan Images by Yu Fu, Xiaowen Luo, Xiaoming Qin, Hongyang Wan, Jiaxin Cui, Zepeng Huang

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