Exploring spatial association between residential and commercial urban spaces: A machine learning approach using taxi trajectory data by Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang

“…A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A social network analysis and a community detection method are employed using taxi trajectory data during the daytime to validate the framework. …”
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A comparative study of methods for dynamic survival analysis by Wieske K. de Swart, Marco Loog, Jesse H. Krijthe, Jesse H. Krijthe

Subjects: “…survival analysis…”
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Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

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Assessing acoustic receiver detection efficiency using autocorrelation adjusted machine learning models by Devon A. Smith, James A. Crossman, Eduardo G. Martins

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ML Based Social Media Data Emotion Analyzer and Sentiment Classifier with Enriched Preprocessor by Jayamalini Kothandan, Ponnavaikko Murugesan

“…Sentiment Analysis or opinion mining is NLP's method to computationally identify and categorize user opinions expressed in textual data.  …”
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Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML) by Abu S.M. Mohsin, Shadab H. Choudhury, Munyem Ahammad Muyeed

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Deep learning optimization of STAR-RIS for enhanced data rate and energy efficiency in 6G wireless networks by Amal Megahed, Ahmed. M. Abd El-Haleem, Mahmoud M. Elmesalawy, Ibrahim I. Ibrahim

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Computational modelling of immunological mechanisms: From statistical approaches to interpretable machine learning by María Rodríguez Martínez, Matteo Barberis, Anna Niarakis

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Light-GBM based minority oversampling model using biomedical data analysis for breast cancer classification by Mukesh Soni, Mohammed Wasim Bhatt, Paul Ofori-Amanfo

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Definition of innovation problems in organizations using data analysis tasks from hybrid sources: social networks and organizational databases by Ana Gutiérrez, Jose Aguilar, Ana Ortega, Edwin Montoya

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Improving Sentiment Analysis Accuracy Using CRNN on Imbalanced Data: a Case Study of Indonesian National Football Coach by Slamet Riyadi, Muhammad Dzaki Mubarok, Cahya Damarjati, Asnor Juraiza Ishak

Subjects: “…sentiment analysis, deep learning, overfitting, oversampling, imbalanced data.…”
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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

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Unbiased machine learning-assisted approach for conditional discretization of human performances by Thepparit Banditwattanawong, Masawee Masdisornchote

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Predicting Heat Treatment Duration for Pest Control Using Machine Learning on a Large-Scale Dataset by Stavros Rossos, Paraskevi Agrafioti, Vasilis Sotiroudas, Christos G. Athanassiou, Efstathios Kaloudis

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Machine Learning-Driven Customer Segmentation: A Behavior-Based Approach for F&B Providers by Jacint JUHASZ

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Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care by Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

“…Transformation methods aimed to convert raw data into more informative formats for analysis, such as by segmenting sensor streams or extracting statistical features. …”
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The data recovery strategy on machine learning against false data injection attacks in power cyber physical systems by Qinxue Li, Xiaofen Yang, Xuhuan Xie, Guiyun Liu

“…To mitigate that threat, this paper is concerned with a new data recovery strategy on machine learning against false data injection attacks (FDIAs) in PCPSs. …”
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Big-Data-Assisted Urban Governance: A Machine-Learning-Based Data Record Standard Scoring Method by Zicheng Zhang, Tianshu Zhang

“…Empirical analysis reveals a significant positive correlation between improved data record standards and higher work order completion rates, particularly highlighting the crucial role of semantic-related indicators (classification predictability and adjacent sentence similarity). …”
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Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

“…These findings underscore the significant potential of combining advanced machine learning models with data fusion techniques to enhance the accuracy and reliability of rainfall predictions, offering meaningful contributions to water resource management, climate adaptation, and the development of more robust forecasting systems.…”
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Ambiguous Tacit Knowledge With a Thematic Focus Based on Japanese Social Culture: An Excellent Source of Qualitative Data Analysis and Interpretation for Systematic Search of Meani... by Tomomi Kubota, Masahiro Arimoto

“…The purpose of this study is to explore the nature of children's learning from individualized narrative data. In this paper, we use data from a record of integrated learning at Ina Elementary School in Nagano, Japan, which documents the learning of a single child, with peer group dynamics and teacher support, to examine how teachers perceive children's learning from children's statements. …”
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