Intelligent prediction for face straightness based on sensor data and human operation information by SUN Yan, FU Xiang, WANG Ranfeng, JIA Yifan, ZHANG Zhixing

“…Currently, the control of face straightness in fully mechanized mining faces combines sensor data such as advancing stroke with manual observations. …”
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Flood Inundation Mapping of a River Stretch Using Machine Learning Algorithms in the Google Earth Engine Environment by Maaz Ashhar, Venkata Reddy Keesara, Venkataramana Sridhar

“…The findings highlight the effectiveness of machine learning algorithms, particularly Random Forest, in flood inundation mapping.…”
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Regression Analysis of Heat Release Rate for Box-Type Power Bank Based on Experimental and Machine Learning Methods by Shihan Luo, Hua Chen, Xiaobing Mao, Wenbing Zhu, Yuanyi Xie, Wenbin Wei, Mengmeng Jiang, Chenyang Zhang, Chaozhe Jiang

“…This study uses experimental testing and machine learning regression analysis to explore the heat release rate (HRR) characteristics and influencing factors of box-type power banks under fire conditions. …”
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The Association of Pain Medication Usage and Quantitative Sensory Testing Outcomes in Fibromyalgia Patients: A Secondary Data Analysis by Luana Gola Alves, Kevin Pacheco-Barrios, Guilherme J. M. Lacerda, Felipe Fregni

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Arabic Language Education Assessment through International Experiences: A Comparative Analysis by Nadia ElMeftahy

“…The findings highlight the importance of developing integrated assessment systems that leverage data analysis to provide effective feedback to students, teachers, and educational institutions. …”
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Digital resource engagement, health challenges, and mathematical achievement in school children: An in-depth analysis of PISA data 2022 by Dirgha Raj Joshi, Jeevan Khanal

“…This study aims to explore the global trends in digital resource utilization within mathematics education and investigate the relationship between their use, reported health issues, confidence in mathematics, and overall mathematics achievement. Drawing upon data from the Programme for International Student Assessment (PISA) 2022, which involved 613,744 participants across 81 countries (including 37 OECD countries), we employ frequency, percentage analysis, and structural equation modeling (SEM) for data analysis. …”
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Integrating deep learning and machine learning for improved CKD-related cortical bone assessment in HRpQCT images: A pilot study by Youngjun Lee, Wikum R. Bandara, Sangjun Park, Miran Lee, Choongboem Seo, Sunwoo Yang, Kenneth J. Lim, Sharon M. Moe, Stuart J. Warden, Rachel K. Surowiec

“…This proof-of-concept study merges deep learning and machine learning to 1) improve automatic segmentation, particularly in cases with severe cortical porosity and trabeculated endosteal surfaces, and 2) maximize image information using machine learning feature extraction to classify CKD-related skeletal abnormalities, surpassing conventional DXA and CT measures.We included 30 individuals (20 non-CKD, 10 stage 3 to 5D CKD) who underwent HRpQCT of the distal and diaphyseal radius and tibia and contributed data to develop and validate four different AI models for each anatomical site. …”
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Big data analysis on flow characteristics according to welded penetration locations for fire sprinkler piping system design by Joo Hyun Moon, Jae Heon Gu, Dong Kyu Kim, In Woo Jang

“…This study presents a big data-driven computational fluid dynamics (CFD) analysis of Tee‐type fire sprinkler pipelines, focusing on how different weld penetration depths affect flow behavior and overall system performance. …”
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Predictive modeling of rapid glaucoma progression based on systemic data from electronic medical records by Richul Oh, Hyunjoong Kim, Tae-Woo Kim, Eun Ji Lee

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Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach by Daniel Wrench, Tulasi N. Parashar

“…Learned from data from a single spacecraft, the correction generalizes well to solar wind measured elsewhere in the heliosphere. …”
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SPA-Net: An Offset-Free Proposal Network for Individual Tree Segmentation from TLS Data by Yunjie Zhu, Zhihao Wang, Qiaolin Ye, Lifeng Pang, Qian Wang, Xiaolong Zheng, Chunhua Hu

“…To address this issue, we proposed a deep learning method, SPA-Net, for achieving tree instance segmentation of forest point clouds. …”
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Electronic medical records as a source of real-world clinical data by A. V. Gusev, B. V. Zingerman, D. S. Tyufilin, V. V. Zinchenko

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UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

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TCGCL: Complex Network Traffic Classification Algorithm Based on Graph Contrastive Learning by HU Zhongze, QIN Hongchao, LI Zhenjun, LI Yanhui, LI Ronghua, WANG Guoren

“…To this end, this paper proposes a stability index to evaluate the algorithm’s resistance to data anomaly interference. In addition, a traffic classification algorithm TCGCL (traffic classification graph contrastive learning) is proposed based on graph contrastive learning. …”
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Factor Investment or Feature Selection Analysis? by Jifang Mai, Shaohua Zhang, Haiqing Zhao, Lijun Pan

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Strategic Web-Based Data Dashboards as Monitoring Tools for Promoting Organizational Innovation by Siddharth Banerjee, Clare E. Fullerton, Sankalp S. Gaharwar, Edward J. Jaselskis

“…This paper describes an effort to create data visualizations in Tableau for CLEAR’s gatekeeper to monitor content within the knowledge repository. …”
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Advancing Agile Software Cost Estimation Through Data Synthesis: A Comparative Analysis of Five Generation Techniques by Xiaoyan Zhao, Zulkefli Mansor, Rozilawati Razali, Mohd Zakree Ahmad Nazri, Xin Xiong

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Nursing professors’ challenges in developing their competencies for electronic learning: a qualitative study by Fatemeh Shojaei, Fatemeh Alhani, Fatemeh Zarei, Soleiman Ahmady

“…Twenty-three semi-structured interviews were held for data collection and Graneheim and Lundman’s conventional content analysis was employed for data analysis. …”
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A data-driven evaluation of the grant program for excellence in learning and teaching (PELT): AI-leveraged insights from faculty, students, and academic metrics by Ahmad Abdul-Wahhab Shahba, Ahmad Abdul-Wahhab Shahba, Saud Alkathiri, Saud Alkathiri, Elham Alsadoon, Elham Alsadoon, Walid Soufan, Walid Soufan

“…This study aimed to comprehensively evaluate the impact of the grant Program for Excellence in Learning and Teaching (PELT) at King Saud University, the first of its kind in Saudi Arabia.MethodsUsing a mixed-methods approach, the research design combined quantitative and qualitative data collection and analysis techniques. …”
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CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning by Jiaxing Bai, Yichun Gao, Feng Zhou, Yushuang He, Chen Lin, Xiaobing Huang, Ying Wang

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