Design and Implementation of an Integrated Network Management System Based on Principal Component Analysis by Xiangyun Kong, Tienan Chu

“…Currently the main method for network operators in data analysis is OLAP based on data warehouse. …”
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Updating the Earth remote sensing software for the detection of thermal anomalies by S. A. Zolotoy, I. B. Strashko, Dz. S. Kotau, I. M. Nestsiarovich, V. V. Rouba, Dz. V. Valakhovich

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A Comparative Analysis of Firm Risk Influence on Working Capital Investment Decisions in Developed and Emerging Economies by Lucian J Pitt

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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…Validation of the model’s predictive capabilities and optimization of the maintenance strategy are performed by comparing with archived data on previously performed work. The analysis of the results revealed the peculiarities of the model operation, namely, the application of least squares regression with single coding demonstrates perfect forecasts, which may indicate the need for model transformation and requires additional verification. …”
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Data-Driven Dynamic Graph Convolution Transformer Network Model for EEG Emotion Recognition Under IoMT Environment by Xing Jin, Fa Zhu, Yu Shen, Gwanggil Jeon, David Camacho

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Research on the Construction of Event Evolutionary Graph for Urban Rail Transit Train Operation and Maintenance Safety by FAN Qianqi, ZUO Jianyong, GONG Ming, JIA Bo, LI Zhengjiang

“…The complete path from theory to application of event evolutionary graph in operation and maintenance risk management is presented, and a comprehensive methodology for data analysis and visual representation is realized. …”
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Applying Big Data for Maritime Accident Risk Assessment: Insights, Predictive Insights and Challenges by Vicky Zampeta, Gregory Chondrokoukis, Dimosthenis Kyriazis

“…Recognizing that maritime accidents pose significant risks to both safety and operational efficiency, this study explores the application of big data analysis techniques to understand the factors influencing maritime transport accidents (MTA). …”
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Assessment of operational non-time-critical Sentinel-6A Michael Freilich radio occultation data: insights into tropospheric GNSS signal cut-off strategies and processor improvement... by S. Paolella, A. Von Engeln, S. Padovan, R. Notarpietro, C. Marquardt, F. Sancho, V. Rivas Boscan, N. Morew, F. Martin Alemany

“…This comprehensive analysis confirms the high quality of the EUMETSAT Sentinel-6A bending angle products and underlines the satellite's contribution to the EUMETSAT legacy of precise and reliable RO data for weather forecasting and climate research.…”
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Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning by Mohd Anjum, Waseem Ahmad, Sana Shahab, Ashit Kumar Dutta, Ali Elrashidi, Amr Yousef, Zaffar Ahmed Shaikh

“…Due to variations in data sequences, the analysis process becomes complex, resulting in less precise outputs. …”
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Evolutionary game analysis of stakeholder privacy management in the AIGC model by Yali Lv, Jian Yang, Xiaoning Sun, Huafei Wu

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Determinants Of Banking Efficiency For Commercial Banks In Indonesia: Two-Stage Data Envelopment Analysis by Desmy Riani, Denia Maulani

“…This study measured and analyzed the determinants of banking efficiency for commercial banks in Indonesia using the Two-Stage Data Envelopment Analysis approach within 2015-2019 period. …”
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Effectiveness of Helicopters in Fighting Forest Fires in Türkiye: A Data Envelopment Analysis Approach by Melih Yıldız, Ozan Öztürk, Tuğba Akbıyık

“…In this study, the types of helicopters used in Türkiye are analyzed, and their operational efficiency is evaluated using Data Envelopment Analysis (DEA). …”
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Research on management mode of talent team in E-government based on big data analysis by Shixuan Hao

“…Compared with other data mining algorithms such as association rule data mining based on K-means algorithm, the combination of decision tree and improved Apriori algorithm has lower operational errors and more obvious operational efficiency in the management of E-government talent team. …”
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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis by Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker

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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). …”
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Comparative Lifecycle Assessment of Renewable Energy Investments in Public Buildings: A Case Study of an Austrian Kindergarten Under Atypical Operational Conditions by Georgia Kousovista, Giannis Iakovides, Stefanos Petridis, Nikolaos-Charalampos Chairopoulos, Angelos Skembris, Maria Fotopoulou, Despina Antipa, Nikolaos Nikolopoulos, Dimitrios Rakopoulos

“…By incorporating post-pandemic operational data, a meaningful comparison of energy efficiency measures under constrained and stable operating conditions is conducted, addressing the impact of fluctuating demand on long-term energy investment sustainability. …”
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Analysis of the impact of leaks and valve maneuvers on pressure transient data in water distribution networks by Matheus Sant’Anna, Rui Gabriel Souza, Guilherme Prudente, Bruno Brentan, Gustavo Meirelles

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Advanced technique for firmware security analysis through heterogeneous data fusion and knowledge mapping. by Peng Xiao, Linjiang Xie, Feilu Hang, Hanruo Li

“…As the core component of a device, firmware's security directly affects the stability of the entire system and the security of user data. In order to provide a more comprehensive and accurate data foundation and improve the accuracy of firmware security analysis, this article conducts research on advanced technologies for firmware security analysis through heterogeneous data fusion and knowledge mapping. …”
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Determinants of Banking Profitability in Angola: A Panel Data Analysis with Dynamic GMM Estimation by Eurico Lionjanga Cangombe, Luís Gomes Almeida, Fernando Oliveira Tavares

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Enhancing Healthcare Efficiency at Almasara Hospital: Distributed Data Analysis and Patient Risk Management by L.O.F. Ben Dalla, T. D. Medeni, I. T. Medeni, M. Ulubay

“…This integration of daily feedback with advanced data analysis tools like K-means and Weka emerges as an effective strategy for improving patient safety and operational efficiency in healthcare settings, demonstrating the value of data-driven decision-making and providing a scalable model for other hospitals aiming to enhance patient care and cost management.…”
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