Low-carbohydrate diet score and chronic obstructive pulmonary disease: a machine learning analysis of NHANES data by Xin Zhang, Jipeng Mo, Kaiyu Yang, Tiewu Tan, Cuiping Zhao, Hui Qin

“…This study aims to explore the association between the LCD score and the likelihood of COPD prevalence in this population.MethodsData from 16,030 participants in the National Health and Nutrition Examination Survey (NHANES) collected between 2007 and 2023 were analyzed to examine the relationship between LCD score and COPD. …”
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Exploring gender stereotypes in financial reporting: An aspect-level sentiment analysis using big data and deep learning by Fabiola Jeldes-Delgado, Tiago Alves Ferreira, David Diaz, Rodrigo Ortiz

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EvapoDeep: A Dual Deep Learning Framework Utilizing GNSS Data for Evapotranspiration Modeling and Predictive Analysis by Saeed Ebrahimi, Saeid Haji-Aghajany, Yazdan Amerian, Melika Tasan

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Enhanced Skin Lesion Classification Using Deep Learning, Integrating with Sequential Data Analysis: A Multiclass Approach by Azmath Mubeen, Uma N. Dulhare

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Reverse Osmosis Membrane Engineering: Multidirectional Analysis Using Bibliometric, Machine Learning, Data, and Text Mining Approaches by Ersin Aytaç, Noman Khalid Khanzada, Yazan Ibrahim, Mohamed Khayet, Nidal Hilal

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Stock Data Analysis by Machine Learning Techniques to Improve Predictive Model-ing and Decision-Making in Financial Markets by Rasool F. Jader, Mudhafar Haji M. Abd

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Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research by Usman Ahmad Usmani, Izzatdin Abdul Aziz, Jafreezal Jaafar, Junzo Watada

“…Traditional approaches often fall short in detecting anomalies, making deep learning methods a promising solution. This review article provides a comprehensive analysis of different deep learning techniques for anomaly detection in time-series data, examining their applicability across various industries and discussing the associated challenges. …”
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Electricity Theft Detection in a Smart Grid Using Hybrid Deep Learning-Based Data Analysis Technique by Camille Franklin Mbey, Jacques Bikai, Felix Ghislain Yem Souhe, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum

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Interpretable Machine Learning Framework for Corporate Financialization Prediction: A SHAP-Based Analysis of High-Dimensional Data by Yanhe Wang, Wei Wei, Zhuodong Liu, Jiahe Liu, Yinzhen Lv, Xiangyu Li

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Evaluation of Machine Learning Models for Sentiment Analysis in the South Sumatra Governor Election Using Data Balancing Techniques by Febriyanti Panjaitan, Win Ce, Hery Oktafiandi, Ghanim Kanugrahan, Yudi Ramdhani, Vito Hafizh Cahaya Putra

Subjects: “…sentiment analysis, machine learning, governor election, twitter, youtube, countvectorizer, balancing data.…”
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A dataset revolutionizing Indian bay leaf analysisMendeley Data by Priyanka Paygude, Sandip Thite, Ajay Kumar, Amol Bhosle, Rajendra Pawar, Renuka Mane, Rahul Joshi, Manisha Kasar, Prashant Chavan, Milind Gayakwad

“…The dataset is meticulously curated to support research in condition analysis and machine learning applications for leaf quality assessment. …”
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Interpretable correlator Transformer for image-like quantum matter data by Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt

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Progress in Flood Risk Assessment Based on Data-Driven Methods by HE Xinyu, TIAN Wenchong, ZHANG Zhiyu, LIAO Zhenliang

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Rootlets Hierarchical Principal Component Analysis for Revealing Nested Dependencies in Hierarchical Data by Korey P. Wylie, Jason R. Tregellas

“…Hierarchical clustering analysis (HCA) is a widely used unsupervised learning method. …”
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Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

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Methodology for Commercial Vehicle Mechanical Systems Maintenance: Data-Driven and Deep-Learning-Based Prediction by Romulo Goncalves Lins, Tiago Nascimento de Freitas, Ricardo Gaspar

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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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Learning Analytics and Educational Data Mining in Augmented Reality, Virtual Reality, and the Metaverse: A Systematic Literature Review, Content Analysis, and Bibliometric Analysis by Georgios Lampropoulos, Georgios Evangelidis

“…The real-time identification, tracking, monitoring, analysis, and visualization of multimodal learning data of students’ behavior, emotions, cognitive and affective states and the overall learning and teaching processes emerged as a significant benefit that contributes greatly to the realization of adaptive and personalized learning. …”
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BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data by Md. Naimul Islam Nuhash, Sadia Akter

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