Rolling-element bearing vibration datasets under varying loads and speeds: A study from Vishwakarma Institute of TechnologyMendeley Data by Yasser N. Aldeoes, Pratibha Mahajan, Shilpa Y. Sondkar, Jitendra A. Gaikwad

“…Data collection and analysis are critical for identifying and diagnosing issues in rolling-element bearings. …”
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Localization of Conveyor Belt Damages Using a Deep Neural Network and a Hybrid Method for 1D Sequential Data Augmentation by Iwona Komorska, Andrzej Puchalski, Damian Bzinkowski

“…To address this issue, the authors implemented a hybrid data augmentation method that combines generative artificial intelligence techniques and signal analysis. …”
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Logistics Analysis of the Supply Chain for Forest Biomass in Slovakia by Gejdoš Miloš, Hitka Miloš

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Improving the Universal Performance of Land Cover Semantic Segmentation Through Training Data Refinement and Multi-Dataset Fusion via Redundant Models by Jae Young Chang, Kwan-Young Oh, Kwang-Jae Lee

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Thermal error modeling of slant bed CNC lathe spindle based on BiLSTM with data augmentation and grey wolf optimizer algorithm by Musab Alataiqeh, Hu Shi, Qiangqiang Qu, Xuesong Mei, Haitao Wang

“…Utilizing finite element simulation in ANSYS, the thermal characteristics of the lathe are examined, yielding insights into the dynamics of heat transfer. Experimental data are processed using fuzzy c-means clustering and grey relational analysis, which leads to the identification of four critical temperature-sensitive points. …”
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End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN by Gabriel David, Emmanuel Faure

“…Our implementation adapts a widely used 2D TensorFlow Mask R-CNN by developing custom TensorFlow operations for 3D Non-Max Suppression and 3D Crop And Resize, facilitating efficient training and inference on 3D data. …”
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Text Mining for Consumers’ Sentiment Tendency and Strategies for Promoting Cross-Border E-Commerce Marketing Using Consumers’ Online Review Data by Changting Liu, Tao Chen, Qiang Pu, Ying Jin

“…The research employs Python tools (Jupyter Notebook 7.0.8) to analyze the 14,078 pieces of review text data from the top four best-selling products in a certain product category on a certain cross-border e-commerce platform. …”
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Resource Time Series Analysis and Forecasting in Large-Scale Virtual Clusters by Yue Lin, Jiamin Wen, Xudong Zhang, Yan Liang, Jianjiang Li

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Enhancing malignant transformation predictions in oral potentially malignant disorders: A novel machine learning framework using real-world data by Jing Wen Li, Meng Jing Zhang, Ya Fang Zhou, John Adeoye, Jing Ya Jane Pu, Peter Thomson, Colman Patrick McGrath, Dian Zhang, Li Wu Zheng

“…Comprehensive evaluations using Receiver Operating Characteristic, calibration curves, and decision curve analysis demonstrated SANN’s superior predictive efficacy, robustness, and generalizability. …”
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Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study by Audêncio Victor, Francielly Almeida, Sancho Pedro Xavier, Patrícia H.C. Rondó

“…Model performance was assessed using metrics such as area under the receiver operating characteristic curve (AUROC), F1-score, and precision-recall. …”
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Convolutional neural networks for specific and merged data sets of optical array probe images: compatibility of retrieved morphology-dependent size distributions by L. Jaffeux, J. Breiner, P. Coutris, A. Schwarzenböck

“…The methodology of retrieving morphology-specific size distributions from OAP data is provided. Size distributions for each morphological class, obtained using both the specific and global classification models, are compared for the data set of the ICE-GENESIS (Creating the next generation of 3D simulation means for icing) project, where all four probes were operated simultaneously. …”
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Prediction of Breakdown Pressure Using a Multi-Layer Neural Network Based on Supercritical CO₂ Fracturing Data by Xiufeng Zhang, Min Zhang, Shuyuan Liu, Heyang Liu

“…A fully connected neural network was then employed to predict breakdown pressure, integrating both our experimental data and published datasets. This approach facilitated the identification of key influencing factors and allowed us to quantify their relative importance. …”
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Concept of integrated analysis of financial health of global corporations by Čavlin Miroslav, Jovanović Zoran, Đurović Milan

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The Incorporation of Mental Space Theory to the Analysis of News Headlines by Bikhtiyar Omar Fattah

“… Mental space theory as one of cognitive-semantic theories considers the operational process of mental space in connection to rational connectors that operate to find a basis for gathering mental and linguistic constructions in order to arrive at the units of meaning while interacting. …”
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Wavelet-Based P-Wave Detection in High-Rate GNSS Data: A Novel Approach for Rapid Earthquake Monitoring in Tsunamigenic Settings by Ajat Sudrajat, Irwan Meilano, Hasanuddin Z. Abidin, Susilo Susilo, Thomas Hardy, Brilian Tatag Samapta, Muhammad Al Kautsar, Retno Agung P. Kambali

“…We applied a wavelet-based method using a Mexican hat wavelet and dynamic threshold to thoroughly analyze the three-component displacement waveforms of the 2009 Padang, 2012 Simeulue, and 2018 Palu Indonesian earthquakes. Data from the Sumatran GPS Array and Indonesian Continuously Operating Reference Stations were analyzed to determine accurate displacements and P-waves. …”
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Limited Performance of Machine Learning Models Developed Based on Demographic and Laboratory Data Obtained Before Primary Treatment to Predict Coronary Aneurysms by Mi-Jin Kim, Gi-Beom Kim, Dongha Yang, Yeon-Jin Jang, Jeong-Jin Yu

“…Afterward, unsupervised learning techniques were employed to explore the data’s inherent structure. <b>Results</b>: The Harada score’s receiver operating characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.558. …”
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Derivation of Sa-MoDEI score from DEI. Tak for prognostication in Buerger's Disease - Preliminary data of a prospective observational cohort by Gregory Pathrose, Albert A Kota, Prabhu Premkumar, Prasanna Samuel, Shivraj Padiyar, Deepak Selvaraj, Prasanta Padhan, Debashish Danda

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Addressing barriers to big data implementation in sustainable smart cities: Improved zero-sum grey game and grey best-worst method by Behnam Razavian, S.Masoud Hamed, S, Maryam Fayyaz, Peiman Ghasemi, Seckin Ozkul, Erfan Babaee Tirkolaee

“…The optimization of sustainable smart cities is an essential endeavor in modern urban development, aiming to enhance the quality of life for citizens while minimizing environmental impacts. Big data plays a critical role in achieving these goals by enabling the collection, analysis, and utilization of vast amounts of information to make informed decisions. …”
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Exploring the impact of cuproptosis on prostate cancer prognosis via RNA methylation regulation based on single cell and bulk RNA sequencing data by Junchao Wu, Junchao Wu, Junchao Wu, Wentian Wu, Jiaxuan Qin, Jiaxuan Qin, Jiaxuan Qin, Ziqi Chen, Ziqi Chen, Ziqi Chen, Rongfang Zhong, Peng Guo, Song Fan, Song Fan, Song Fan

“…Nonetheless, the prognostic implications and underlying regulatory mechanisms of them associated with prostate cancer (PCa) remain to be thoroughly investigated.MethodsGenomic and clinical data for PCa from The Cancer Genome Atlas datasets were analyzed to identify a prognostic model through univariate and Least Absolute Shrinkage and Selection Operator Cox regression analyses that were validated utilizing external datasets. …”
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The institutional independence comparative analysis of the supreme audit institutions by Y.M. Denysovets

“…The article conducts a comprehensive study of the institutional independence of supreme audit institutions (SAIs) using quantitative analysis methods and international comparison. Based on data from the Global Synthesis Report on SAIs covering 131 countries, the level of independence is assessed according to 12 key indicators, including: financial autonomy, transparency of management appointments, the right to determine the scope of the audit, access to information, and publication of reports. …”
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