Satisfaction with Research-Based Learning and Academic Performance by Big Data Analysis by Gabriela Torres-Delgado, Sofía Ramos-Pulido, Neil Hernández-Gress

“…Data science analysis was used to investigate the association between Research-Based Learning (RBL) and student’s academic performance. …”
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Real-Time Analysis of Basketball Sports Data Based on Deep Learning by Peng Yao

“…This paper focuses on the theme of the application of deep learning in the field of basketball sports, using research methods such as literature research, video analysis, comparative research, and mathematical statistics to explore deep learning in real-time analysis of basketball sports data. …”
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Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

“…Artificial intelligence (AI) techniques, including deep reinforcement learning (RL) methods, present a promising avenue for the rapid and precise analysis of EXAFS data sets. …”
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Teaching Data Analysis and Machine Learning at University: Generalization of Experience and Perspectives by Victoria Dorofeeva, Sergey Stroev, Dmitrii Dorofeev

Subjects: “…data analysis technologies…”
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Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning by P. A. Mikhnenko

“…The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.…”
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An analysis of pedestrian crossings through deep learning models and crash data by Lorenzo Mussone, Omar el Hassan

“…This study focusses on pedestrian crossing (crosswalk) analysis and classification in urban contexts. Deep learning models and graph theory tools serve as the foundation for the proposed approach. …”
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Comment on “Machine learning enhanced analysis of EBSD data for texture representation” by Helmut Schaeben, K. Gerald van den Boogaart

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Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches by Yousuf Alkhezi, Hajar M. Alkhezi, Ahmad Shafee

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Retracted: Integration and Fusion of Geologic Hazard Data under Deep Learning and Big Data Analysis Technology by null Complexity

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Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting by Bihter Daş, Damla Mengus

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Comparative evaluation of deep learning and machine learning techniques for sentiment analysis of electronic product review data by Nagelli Archana, Saleena B., Prakash B.

“…However, the biggest challenge is the extraction of relevant information from the tremendous data. Machine learning and deep learning techniques have obtained remarkable success in exemplifying and classifying information. …”
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Improving Data Quality with Advanced Pre-Processing of MWD Data by Alla Sapronova, Thomas Marcher

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Basket2vec: Learning Retail Basket Representations From Transactional Data by Bryan V. Piguave, Andres G. Abad

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Machine learning methods for analyzing genomic and phenomic data in psychiatry by T. I. Nurgaliev

Subjects: “…machine learning, supervised learning, unsupervised learning, genomics data analysis…”
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An Efficient Privacy-preserving Deep Learning Scheme for Medical Image Analysis by J. Andrew Onesimu, J Karthikeyan

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Integrated Model Selection and Scalability in Functional Data Analysis Through Bayesian Learning by Wenzheng Tao, Sarang Joshi, Ross Whitaker

Subjects: “…functional data analysis…”
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The Multi-Frequency Decomposition Entropy Learning for Nonlinear fMRI Data Analysis by Di Han, Yuhu Shi, Lei Wang, Yueyang Li, Weiming Zeng

“…The results of applying MDE for the fMRI data analysis of schizophrenia, bipolar disorder, and attention-deficit hyperactivity disorder showed that the difference between the three groups of patient and healthy control is large at the hub nodes, and the nonlinear relationship between the patient groups is weak when they are at the same hub node. …”
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Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges by Christian M. Mulomba, Vogel M. Kiketa, David M. Kutangila, Pescie H. K. Mampuya, Junior N. Mukenze, Landry M. Kasunzi, Kyandoghere Kyamakya, Tasho Tashev, Selain K. Kasereka

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Enhancing Ground Penetrating Radar (GPR) Data Analysis Utilizing Machine Learning by Mohanad Shehab, Musab T.S. Al-Kaltakchi, Ammar Dukhan, Wai Lok Woo

“…Subsequently, preprocessing techniques are utilized to improve GPR data analysis and interpretation, including refining data, imputing the missing values, normalizing all data, and splitting them into 70% for the training and 30% for the testing phases. …”
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The Application of Machine Learning to Educational Process Data Analysis: A Systematic Review by Jing Huang, Yan Ping Xin, Hua Hua Chang

“…Educational process data offers valuable opportunities to enhance teaching and learning by providing more detailed insights into students’ learning and problem-solving processes. …”
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