EMUs Electrical Connector Life Prediction Based on Accelerated Degradation Data by Jie MA, Lide WANG, Chuan YUE, Ping SHEN, Ji QIU

“…Using physical model of life prediction and data processing algorithm and accelerated degradation data modeling process based on degradation distribution, the reliability and life evaluation of EMUs electrical connectors were realized. …”
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Digital Twin and Data-Driven Remaining Useful Life Prediction of Gearbox by Quanbo Lu, Mei Li, Xiaojuan Huang

“…Traditional approaches for predicting the remaining useful life (RUL) of gearboxes often face challenges in integrating physical and virtual data, leading to reduced prediction accuracy and an increased risk of system failure. …”
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Service-Life Study of Polycarbonate Outdoors Using Python with Incomplete Data by Jiangfeng An, Duncheng Peng, Xuejie Zhou, Jun Wu, Penghua Zheng

“…Meanwhile, the complexity of the related weathering processes inhibits the prediction of service life based on the environmental factors. …”
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ANALYSIS OF DEGRADATION PROCESSES IN RESERVOIRS ON THE BASIS OF REMOTE SENSING DATA by Joanna Jaskuła, Mariusz Sojka

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Methods of Collecting User Data in the Process of Building Commercial Website by Dariusz Strzębicki

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GATEKEEPER Platform: Secure Processing Environment for European Health Data Space by Eugenio Gaeta, Muhammad Salman Haleem, Laura Lopez-Perez, Mirko Manea, Maria Fernanda Cabrera Umpierrez, Maria Teresa Arredondo Waldmeyer, Leandro Pecchia, Giuseppe Fico

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Smart communities: enhancing local processes through artificial intelligence and quality of life by Dr Hakeem Adewale Sulaimon, Ayotunde Alaba Fadele

“…This study explores the impact of smart communities on residents' quality of life, with a focus on the role of Artificial Intelligence (AI) in enhancing local processes. …”
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Prediction of Remaining Service Life of Miniature Circuit Breakers Based on Wiener Process by Lin Ma, Linming Hou, Puquan He, Changxian Wang, Zhenhua Xie, Yao Wang

“…The parameters of the electrical performance degradation model are identified through the synergistic driving of the electrical life simulation data and the experimental data, the remaining electrical life prediction is realized based on the degradation data of the same batch of products, and the maximum prediction error of the proposed method is controlled within 15%.…”
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The Research Review on Life Cycle Carbon Emissions in the Operational Process of Modular Buildings by Yupei Hu, Luyao Xiang, Kai Shang

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VIBRODIAGNOSTICS OF ROLLING BALL BEARINGS CONNECTED WITH PROCESSING, RESULT´S COMPARISON AND PREDICTION OF SERVICE LIFE by Peter ŠULKA, Alžbeta SAPIETOVÁ, František BÁRNIK

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Centralization of agricultural scientific data management model based on life cycle theory by Fei GAO, Guomin ZHOU, Rui MAN

“…Governments, research institutions and scientists all over the world have attached great importance to the construction, management and sharing of agricultural science data resources.Relevant international organizations and agricultural science data platforms are particularly active, providing strong support for agricultural science and technological innovation.From the current situation of science data resource construction, science data management centralization is the future development trend.The agriculture science data management centralization mode was explored, the agricultural science data life cycle management model was constructed, and the model was explained from four aspects: science data management standard, data collection and processing, long-term data preservation and data sharing service.This study tries to provide reference for science data management, sharing and service.…”
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A Systematic Approach to Enhancing ISO 26262 With Machine Learning-Specific Life Cycle Phases and Testing Methods by Padma Iyenghar, Emil Gracic, Gregor Pawelke

“…This study identifies and addresses these gaps by defining three additional life cycle phases: prepare data, train ML model, and deploy ML model. …”
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ID-SMSA: Indonesian stock market dataset for sentiment analysisMendeley Data by Jason Hartanto, Timothy Liundi, Rhio Sutoyo, Esther Widhi Andangsari

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Life Pattern-Based Human Attribute Estimation Using Only GPS Data by Kazuyuki Shoji, Haru Terashima, Naoki Tamura, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…In this study, we propose ArLPH, a framework that takes only GPS data as input, models mobility from the perspective of “when and what types of places he/she visited,” and enables the interpretation of life patterns. …”
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Degradation and reliability assessment of accuracy life of RV reducers by XU Hang, NIE Yixuan, WEN Dongjie, REN Jihua, HONG Zhihui

“…A Gaussian process regression model optimized by genetic algorithm was established using vibration characteristic data to optimize the prediction of transmission accuracy.ResultsThe results show that the prediction accuracy based on Gaussian process regression model is significantly better than that of traditional regression model. …”
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Is the Life of the Students of the Northern Region Wealthy, or What the Sociological Survey Data Suggest? by V. P. Zasypkin, G. E. Zborovsky

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Narration Through Data: The Life and Relationships of a Fourteenth-Century Tuscan Merchant by Emiliano Degl'Innocenti, Alessia Spadi, Federica Spinelli

“…This approach enhances research opportunities and enables integrated storytelling across diverse data collections. The models and solutions developed during this process are designed to be replicable by other institutions, ensuring the project’s long-term sustainability.…”
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A Machine-Learning-Based Data Science Framework for Effectively and Efficiently Processing, Managing, and Visualizing Big Sequential Data by Alfredo Cuzzocrea, Islam Belmerabet, Abderraouf Hafsaoui, Carson K. Leung

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Application of radar data for the analysis of the rainfall-runoff process in an urban catchment by Mariusz Barszcz

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SPEED: A Graphical User Interface Software for Processing Eye Tracking Data by Daniele Lozzi, Ilaria Di Pompeo, Martina Marcaccio, Matias Ademaj, Simone Migliore, Giuseppe Curcio

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