Spatial data infrastructures and Geography learning by Javier Álvarez Otero, María Luisa de Lázaro y Torres

“…It improves employment possibilities and facilitates becoming an e-citizen using e-government information.Time and space are very important for data analysis. Therefore, it is possible to learn geography from SDI geodata, especially if it is integrated into a learning environment. …”
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Spatial data infrastructures and Geography learning by Javier Álvarez Otero, María Luisa de Lázaro y Torres

“…It improves employment possibilities and facilitates becoming an e-citizen using e-government information.Time and space are very important for data analysis. Therefore, it is possible to learn geography from SDI geodata, especially if it is integrated into a learning environment. …”
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Experimental assessment and data-driven hybrid machine learning quantification with parametric optimization of compressive strength of ceramic waste concrete by Mihir Mishra, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, M Jameel, Turki S. Alahmari, Naim Ahmad, Md. Munir Hayet Khan

“…Furthermore, SHAP analysis and partial dependence plots (PDP) were used to show how each input feature affected the CS. …”
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Early detection of mental health disorders using machine learning models using behavioral and voice data analysis by Sunil Kumar Sharma, Ahmed Ibrahim Alutaibi, Ahmad Raza Khan, Ghanshyam G. Tejani, Fuzail Ahmad, Seyed Jalaleddin Mousavirad

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Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data by Abu Bakker Siddique, Tanveer Alam Munshi, Nazmul Islam Rakin, Mahamudul Hashan, Sushmita Sarker Chnapa, Labiba Nusrat Jahan

“…This study proposes an effective data-driven approach that utilizes machine learning algorithms to forecast reservoir pore pressure. …”
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A Financial Data Analysis Method Based on Time-Series Generative Adversarial Network and Decomposition Learning by Wei Wang, Bo Li

“…Inspired by this, we propose a financial data analysis method based on time series generative adversarial network (TimeGAN) and decomposition learning. …”
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Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

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The swarm intelligence algorithms and their application for the educational data analysis by Y. Yu. Dyulicheva

Subjects: “…educational data analysis…”
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Smartphone image dataset for machine learning-based monitoring and analysis of mango growth stagesMendeley Data by Sayem Kabir, Md Fokrul Akon, Mohammad Rifat Ahmmad Rashid, Maheen Islam, Taskeed Jabid, Mohammad Manzurul Islam, Md Sawkat Ali

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Comparative Analysis of Machine Learning Algorithms for Predicting Patient Admission in Emergency Departments Using EHR Data by Ahmad Abdul Chamid, Ratih Nindyasari, Muhammad Imam Ghozali

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Recognition of flight cadets brain functional magnetic resonance imaging data based on machine learning analysis by Lu Ye, Shuhao Weng, Dongfeng Yan, Shan Ma, Xi Chen

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A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques by Raja Waqar Ahmed Khan, Hamayun Shaheen, Muhammad Ejaz Ul Islam Dar, Tariq Habib, Muhammad Manzoor, Syed Waseem Gillani, Abeer Al-Andal, John Oluwafemi Ayoola, Muhammad Waheed

“…Principal component analysis (PCA) reduced data dimensionality, highlighting major ecological gradients. …”
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Development Path and Mechanism of Cultural Tourism Integration Based on Deep Learning Mobile Big Data Analysis by Renfei Zhang, Yang Bai

“…This paper proposes a big data platform based on deep learning to adapt to domestic cultural data and tourism data. …”
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Machine learning approaches for spatial omics data analysis in digital pathology: tools and applications in genitourinary oncology by Hojung Kim, Hojung Kim, Jina Kim, Jina Kim, Su Yeon Yeon, Sungyong You, Sungyong You

“…The review contains three sections: 1) an overview of image processing approaches for histopathology slide analysis; 2) machine learning integration with spatially resolved omics data analysis; 3) a discussion of current limitations and future directions for integration of machine learning in the clinical decision-making process.…”
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The analysis of marketing performance in E-commerce live broadcast platform based on big data and deep learning by Yuanyuan Wei, Xingchen Pan

Subjects: “…Big data management technology…”
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Optimized aspect level sentiment analysis of tweet data using deep learning and rule-based techniques by S. N. Enemuo, O. N. Akande, M. O. Lawrence, I. C. Saidu

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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…The Ethiopia Demographic and Health Survey (EDHS-2019), which offers thorough data on socioeconomic, demographic, and water access determinants, was the data source for this study. …”
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Leveraging Automated Machine Learning for Environmental Data‐Driven Genetic Analysis and Genomic Prediction in Maize Hybrids by Kunhui He, Tingxi Yu, Shang Gao, Shoukun Chen, Liang Li, Xuecai Zhang, Changling Huang, Yunbi Xu, Jiankang Wang, Boddupalli M. Prasanna, Sarah Hearne, Xinhai Li, Huihui Li

Subjects: “…environmental data…”
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Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data by Fabrizzio Rodrigues Costa, Cleyton de Carvalho Carneiro, Carina Ulsen

“…The integration of numerical and categorical variables, which are part of a dataset for defining ore grades, is part of the daily routine of professionals who obtain the data and manipulate the various phases of analysis in a mining project. …”
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Topological Data Analysis and Wavelet- Unsupervised Machine Learning Approaches to Identifying the Flooding and Non-Flooding Zones by Md Raqibul Hasan, Md. Jamal Hossain, Md. Waliullah, Abdul Hannan, Md. Mijanoor Rahman

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