ENHANCING STATE POLICY EFFECTIVENESS IN CINEMA THROUGH MACHINE LEARNING / Повышение эффективности государственной политики в сфере кинематографа с помощью машинного обучения... by DOZHDIKOV ANTON V. / ДОЖДИКОВ А.В.

“…The study utilized the ensemble machine learning model HistGradientBoostingClassifier and a sequential fully connected three-layer neural network based on the TensorFlow library, along with basic methods of natural language processing. …”
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Ship Hull Steel Plate Deformation Modeling Based on Gaussian Process Regression by Zhiliang Zhang, Ryojun Ikeura, Soichiro Hayakawa, Zheng Wang

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Multi-camera association tracking algorithm for pedestrian target based on difference image by Shuai Ren

“…The pedestrian target obeys the Laplacian random variable probability density function, and moves according to the center position of the bounding box to ensure that the target tends to move around the starting position, and realizes the multi-camera association tracking. …”
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ISSUES OF STUDENTS MOTIVATION IN FOREIGN LANGUAGE CLASSES by Olena Ye. Beresten, Karyna V. Yurchenko, Pavlo S. Saveliev

“…In the proposed study, the authors aimed to analyze the main methods of creating, maintaining or strengthening the motivation of students while learning a foreign language. …”
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The applicability of a structured learning programme focusing on improving observational competencies to strengthen patient safety: a qualitative study with professionals in primar... by Emilie Alfstad, Veronica Lockertsen, Anne-Kari Johannessen, Anne Werner

“…Results We identified three categories illustrating how healthcare professionals experienced learning and training in the competence-building programme and its applicability for clinical practice: (1) Shared base of competence through practice-based group-learning with colleagues; (2) Enhanced clinical communication: The impact and applicability of standardised language; (3) From Colleagues to team: Increased autonomy and collaboration. …”
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Error Compensation for Delta Robot Based on Improved PSO-GA-BP Algorithm by Kaiwen Yang, Zhan Pan, Linlin Zheng, Qinwen Li, Deyong Shang

“…The simulation results show that the comprehensive error of the robot after compensation by this algorithm is reduced by 83.8%, verifying its effectiveness in positioning accuracy compensation and providing a new method for the accuracy optimization of parallel robots.…”
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Computer vision-based location-aware antenna system for 5G applications by Irshad Ali T K, Ansal K A, Sumitha Mathew, Rashida K

“…The system incorporates a machine learning-based computer vision algorithm, specifically the You Only Look Once (YOLO) model, and an optimisation technique for analysing visual data. …”
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Pengembangan Media Pembelajaran Berbasis Hypertext pada Komunikasi Data dan Jaringan Komputer Berorientasi Konsep Subak by Ketut Agustini

“… This study aimed to develop a hypertext-based learning media for data com- munication and computer networks in Subak concept oriented. …”
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Intelligent prediction for face straightness based on sensor data and human operation information by SUN Yan, FU Xiang, WANG Ranfeng, JIA Yifan, ZHANG Zhixing

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Human Reproduction Contextual Case-Based Worksheet to Improve Students’ Interpersonal Communication and Collaboration Skills by Siti Alimah, Listyawati Utami

“…The data was analyzed by descriptive quantitative method. The results of the analysis showed that both of student's interpersonal communication and collaboration skills were invery high category.The teacher and student showed a positive response to the use of case-based worksheet in human reproduction learning activity. …”
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Point Cloud-Based Segmentation of Small Roof Components in Chinese Ancient Architecture by J. Zhao, J. Zhao, X. Zhang, X. Zhang, Z. Liu, Z. Liu, J. Yang, J. Yang, H. Yu, H. Yu

“…To address this issue, we refine the positional encoding method based on advancements in the attention mechanism, thereby enhancing the model’s ability to focus on small-scale components. …”
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A hybrid biomass supply chain optimization approach using sequential adaptive fuzzy inference learning: Insights from a cogeneration system in Europe by Seyydeh Atefeh Mousavi Abandansari, Peiman Ghasemi, Ahmad Attar, Fariba Goodarzian, Seyedeh Asra Ahmadi

“…The proposed approach ultimately suggests meaningful scenarios that lead to the best entrepreneurial strategy selection by taking advantage of sequential adaptive fuzzy inference learning. The contributions of this paper include utilizing sequential adaptive fuzzy inference learning to determine optimal strategies for evaluating entrepreneurship, entrepreneurial strategy trade-offs with stable, stagnant, and booming market conditions, examining the biomass industry supply chain through a network of interactions using the DEMATEL approach, and applying the proposed knowledge-based system to a real-world case in the Vienna biomass supply chain. …”
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Using emoji to ascertain student emotional responses to technology-based human anatomy instruction by Shawn M. Magrum, Shawn M. Magrum, Jaynie Bird, Ethan L. Snow, Ethan L. Snow

“…Pre- and post-course questionnaires were also administered to clarify reactions to the technology.ResultsResults indicated that students reported positive and neutral emotions nearly exclusively, although students reported a reduction in emotional sentiment after technology-based learning sessions as compared to after non-technology-based learning sessions (Z = −2.557, p = 0.011). …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…For crack localization, a high-precision method based on UAV orthophotos was proposed by combining the crack detection results with the GPS coordinate information. …”
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Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Ge... by Jemyoung Lee, Minbeom Kim, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, Jong Hyo Kim

“…Objective: This study evaluated the applicability of the classical method, height loss ratio (HLR), for identifying major acute compression fractures in clinical practice and compared its performance with deep learning (DL)-based VCF detection methods. …”
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Sentiment Analysis of Rohingya Refugees in Aceh using Support Vector Machine (SVM) and Multinomial Logistic Regression by Gigih Army Buana Baliputra, Slamet Kacung, Budi Santoso

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Scientometric analysis of emerging trends and research landscape of ERNIE Bot's potentials as an educational tool: A mixed method study of a large language model by Yang Yan, Bosede Iyiade Edwards, Mageswaran Sanmugam

“…This paper presents findings from a mixed-method analysis of a generative AI tool, ERNIE Bot's research status and role in education based on research from 2019–May 2025. …”
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Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sich... by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

“…To evaluate the “sweet spot” enrichment area of the Xujiahe Formation gas reservoir, fracture development characteristics are identified and an effective fracture recognition method is established based on core observation, logging data, and intelligent algorithms. …”
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Effects of a SWELE program for improving mental wellbeing in children and adolescents with special educational needs: protocol of a quasi-experimental study by Regina Lai Tong Lee, Sally Wai Chi Chan, Yuen Yu Chong, Steven Wai Ho Chau, Kai Chow Choi, Wai Tong Chien

“…Unstructured Outdoor Play coupled with Mindfulness-based Interventions via ‘Supporting Wellness in E-Child Learning Environments’ (SWELE) program can foster the mental health and wellbeing of children and adolescents with SEN. …”
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting by Tamrat Endebu, Girma Taye, Wakgari Deressa

“…This study aimed to develop a prediction model to assess the future risk of LTFU in HIV care in Ethiopia. Methods The study used a retrospective design in which machine learning (ML) methods were applied to the electronic medical records (EMRs) data of adult HIV-positive individuals who were newly enrolled in antiretroviral therapy between July 2019 and April 2024. …”
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