Integrating machine learning with advanced processing and characterization for polycrystalline materials: a methodology review and application to iron-based superconductors by Akiyasu Yamamoto, Akinori Yamanaka, Kazumasa Iida, Yusuke Shimada, Satoshi Hata

“…Specifically, we discuss a mechanochemical process involving high-energy milling, in situ observation of microstructural formation using 3D scanning transmission electron microscopy, phase-field modeling coupled with Bayesian data assimilation, nano-orientation analysis via scanning precession electron diffraction, semantic segmentation using neural network models, and the Bayesian-optimization-based process design using BOXVIA software. …”
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A Distributed Privacy Preserved Federated Learning Approach for Revolutionizing Pneumonia Detection in Isolated Heterogenous Data Silos by Shagun Sharma, Kalpna Guleria

“…In the proposed work, federated learning has been utilized to enhance data privacy and deal with imbalanced and diverse data silos. …”
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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…Hyperparameter tuning is achieved through the Bayesian optimization algorithm to identify the model parameter set that maximizes test set accuracy.ResultsAnalysis of the transformer fault case library reveals that the model proposed in this paper reduces diagnostic time by nearly half compared to traditional machine learning diagnosis models. …”
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Synthetic Text as Data: On Usefulness and Limitations by Seoyeon Choi, Jaein Sim, Guebin Choi

“…This study investigates the utility of GPT-generated text as a training resource in supervised learning, focusing on two perspectives: its effectiveness as an augmentation tool in data-scarce or class-imbalanced settings and its potential as a substitute for human-written data. …”
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Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis by Georgina Arrambide, Manuel Comabella, Carmen Tur

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Music Similarity Detection Through Comparative Imagery Data by Asli Saner, Min Chen

“…While the feature-based analysis guided us to focus on a subset of features, whose similarity is typically associated with music plagiarism, data visualization inspired us to train machine learning models using such comparative imagery instead of using audio signals directly. …”
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Exploring emotional dimensions in educational data: A neutrosophic sentiment analysis approach by Joffre Paladines Rodríguez, Adrián del Pozo Biscarra, Felix Tamayo

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Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-Seq Data Analysis by Zhenyi Zhang, Yuhao Sun, Qiangwei Peng, Tiejun Li, Peijie Zhou

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Imbalanced Data Parameter Optimization of Convolutional Neural Networks Based on Analysis of Variance by Ruiao Zou, Nan Wang

“…This study primarily uses analysis of variance (ANOVA) to investigate the main and interaction effects of different parameters on imbalanced data, aiming to optimize convolutional neural network (CNN) parameters to improve minority class sample recognition. …”
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From Data to Decisions: AI in Varicose Veins—Predicting, Diagnosing, and Guiding Effective Management by Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal, Jaspreet Kumar, Naghmeh Asadimanesh, Surbhi Dadwal, Vibhor Ahluwalia, Sidhartha Gautam Senapati, Shivaram P. Arunachalam

“…Methods: AI leverages advanced techniques such as computer vision and deep learning to analyze patient data, including medical history, symptoms, physical examinations, and imaging (e.g., ultrasounds, venography). …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The study investigates the data and sample complexity required to develop an effective machine/deep learning (ML/DL) model, using techniques such as the Jeffries-Matusita Distance for assessment of class separability and feature importance ranking for feature and layer selection, semivariogram analysis for determining minimum sample patch sizes.The results demonstrate distinct classification capabilities based on spectral information in differentiating between sub-classes such as weed infestation, bare soil, disturbed canopy areas, and undisturbed canopy areas. …”
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

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Critical statistical assessment of data in metal additive manufacturing by Raymond Wong, Anh Tran, Bogdan Dovgyy, Claudia Santos Maldonado, Minh-Son Pham

“…Obtaining high quality data reflecting the relationships between the additive manufacturing (AM) process parameters, material microstructure and mechanical properties is crucial for the use of machine learning in AM. …”
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Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models by CAI Yiran, HU Zhengyin, LIU Chunjiang

“…In terms of tools, cross-modal parsing tools and interactive analysis platforms have been developed to facilitate end-to-end data mining and knowledge generation. …”
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Data Management in Healthcare Research as a Guarantee of its Quality by Igor Rekunenko, Anton Boiko, Olha Kramarenko, Bhola Khan

“…Analysis of terminology clusters revealed that the keywords «Big Data», «Machine Learning», «Data Collection», «Data Quality», «Data Sharing», «Data Reuse», «COVID-19», and «Blockchain» have the highest number of mentions in publications and strong connection with other publications. …”
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Investigating methods for forensic analysis of social media data to support criminal investigations by Muhammad Arshad, Ashfaq Ahmad, Choo Wou Onn, Emmanuel Arko Sam, Emmanuel Arko Sam

“…These platforms generate immense volumes of data that are invaluable for reconstructing events, identifying suspects, and corroborating evidence in criminal and civil investigations. …”
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Data accessibility in the chemical sciences: an analysis of recent practice in organic chemistry journals by Sally Bloodworth, Cerys Willoughby, Simon J. Coles

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Automated Anomaly Detection and Causal Analysis for Civil Aviation Using QAR Data by Xin Dang, Congcong Hua, Chuitian Rong

“…Due to the unique industry characteristics of QAR data and the requirements of FOQA, feature engineering and hyper-parameter optimization techniques are utilized to enhance the machine learning model. …”
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Crowdsourced data leaking user's privacy while using anonymization technique by Naadiya Mirbahar Mirbahar, Kamlesh Kumar, Asif Ali Laghari, Mansoor Ahmed Khuhro

“…Due to the tremendous value embedded in big educational data, numerous research institutes have collected large volumes of student behavioral data. …”
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Automating monitoring and evaluation data analysis by using an open-source programming language by Nadia Fouché, Melody Mentz-Coetzee

“…Traditionally, practitioners use expensive data analysis software suites such as the Statistical Package for the Social Sciences (SPSS) for analysing quantitative ME data. …”
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