Unbounded-energy solutions to the fluid+disk system and long-time behavior for large initial data by Ferriere, Guillaume, Hillairet, Matthieu

“…In comparison with the classical nonlinearities, this new term lacks time and space integrability, thus complicating strongly the analysis of the long-time behavior of solutions.We provide herein two refined tools: a refined analysis of the Gagliardo–Nirenberg inequalities and a thorough description of fractional powers of the so-called fluid-structure operator [2]. …”
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Video surveillance legislation in the EU and Slovenia: privacy rights, security needs, and data protection challenges by Benjamin Lesjak, Mateja Savić

“…The purpose of the paper is to examine the legislative instruments in the EU and Slovenia, especially regarding the legal basis for processing data of video surveillance. The research methodology combines qualitative analysis and legislative review and case studies from selected Slovenian Information Commissioner opinions and decisions. …”
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Prevalence and risk factors of hypertensive retinopathy in South Korea based on national health survey data by Si-Hoon Park, Dongjin Nam, Joon Yul Choi, Tae Keun Yoo

“…Abstract This study investigated the prevalence and risk factors of moderate to severe hypertensive retinopathy among non-diabetic South Korean adults using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2008–2011. …”
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STANDARDIZATION OF COMPLICATIONS AND OUTCOMES OF SURGERY TREATMENT by V. V. Likhvantsev, Yu. V. Skripkin, Zh. S. Filippovskaya, D. A. Zhgulyov

“…In order to achieve that under umbrella of European Society of Anaesthesiology (ESA) and European Society of Intensive Care Medicine (ESICM) Standards of defining and using of criteria of the severity degree for investigation of clinical efficiency in the peri-operation period have been developed. These standards allow more accurate comparative analysis of data, provide researchers and clinical specialists with standard definitions and promote integration of the Russian institutes into international research activities.…”
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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch, Omama M. Al-Hamed

“…This paper introduces novel nonparametric supervised learning techniques for classifying massive datasets, addressing key limitations of existing methods in Big and Streaming Data framework. We propose an offline kernel-based classifier enhanced by Batch Principal Component Analysis (PCA) for dimensionality reduction to mitigate the “curse of dimensionality”. …”
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Ad Hoc Data Foraging in a Life Sciences Community Ecosystem Using SoDa by Kallol Naha, Hasan M. Jamil

“…The challenge for individual biologists, then, is to discover, explore, and select databases of interest from a large unorganized collection and effectively use them in their analysis without too large of an investment. The advocation of the FAIR data principle to improve searching, finding, accessing, and inter-operating among these diverse information sources in order to increase usability is proving to be a difficult proposition and consequently, a large number of data sources are not FAIR-compliant. …”
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A hybrid ECC-AES encryption framework for secure and efficient cloud-based data protection by P. Selvi, S. Sakthivel

“…This model addresses existing encryption inefficiencies by balancing high-speed cryptographic operations with robust data security, making it suitable for real-time medical data storage and retrieval. …”
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Causal consistency model for distributed data store based on shared graph and partial replication strategy by Junfeng TIAN, Wanhe YANG, Ya’nan PANG, Juntao ZHANG

“…In order to solve the problem of metadata propagation overhead,operation delay and remote update visibility latency in the current causal consistency model,a causal consistency model for distributed data stores based on the shared graph and partial replication strategy was proposed.This model was based on the topology of the shared graph,and each data center stored an arbitrary subset of the data.At the same time,the global stabilization strategy combining shared stable vector and hybrid logical clocks was proposed to provide data consistency guarantees on the premise of ensuring causality.The theoretical analysis and experimental results show that the proposed model can effectively balance the remote update visibility and the metadata overhead compared with the existing models while reducing the operation delay.…”
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Analyzing the Solar Energy Data Using a New Anderson-Darling Test under Indeterminacy by Muhammad Aslam, Ali Algarni

“…The application of the proposed test is given using data from the renewable energy field. From the analysis of the data, it is concluded that the proposed test is effective and information to be applied when the data is recorded from the complex system in the renewable energy field.…”
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A fusion data security protection scheme for sensitive E-documents in the open network environment. by Lei Liu, Mingwei Cao, Yeguo Sun

“…Through the verification and analysis of its usability and security, it is proved that the solution can meet the data security protection requirements of sensitive E-documents in the open network environment.…”
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Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data by Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Rashadul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Hee-Cheol Kim

“…Where should sensors be strategically placed to ensure precise data collection, and how can the system be effectively automated for seamless operation? …”
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Design and Implementation of Fault Diagnosis and Data Synchronization Scheme Based on Train Redundant Display Platform by TIAN Deqiang, JIANG Xuezhai, ZHANG Xiaofeng, ZHANG Guangqiang, LIAO Jifang

“…In order to quickly locate and response to the fault of the display platform and reduce the impact of the fault on train operation, the paper proposes a scheme for real-time diagnosis and data synchronization of train display platform operation status based on redundant display platform with two display units. …”
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Metro Train Stopping Scheme Decision Based on Multisource Data in Express-Local Train Mode by Jin Li, Yaqiu Wang, Shiyin Zhang, Huasheng Liu

“…Based on the multisource data, the spatial weight function is introduced to fuse the point of interest data and real estate information data, from which one obtains the residential index and office index, and the cluster analysis is conducted to obtain the potential stop scheme. …”
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Predictive Probability Density Mapping for Search and Rescue Using an Agent-Based Approach With Sparse Data by Jan-Hendrik Ewers, David Anderson, Douglas Thomson

“…Comparative analysis with historical data showcases promising outcomes relative to alternative methods. …”
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A data-driven state identification method for intelligent control of the joint station export system by Guangli Xu, Yifu Wang, Zhihao Zhou, Yifeng Lu, Liangxue Cai

“…Through the analysis of the production and operation data of the joint station, the abnormal working conditions are successfully identified, and the effectiveness and accuracy of the method are verified. …”
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Implementation of Decision Support System with Data Mining Methods in the Quality Control Process of the Automotive Sector by Hikmet Canlı, Sinan Toklu

“…The measurementdata in this area is very large and as the volume of data increases, the rate that people understand is reduced.Variations are the enemy of quality. …”
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RAM-based Data Analytics for Power Plant Case Study: Steam Power Plant in Thailand by Talabgaew Sompoap, Suebsumran Anan

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Reliability Assessment of a Series System with Weibull-Distributed Components Based on Zero-Failure Data by Ziang Li, Huimin Fu, Jianchao Guo

“…Because high-reliability components rarely fail during life testing or actual operation, conventional system reliability analysis methods based on failure time data do not work well. …”
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Modeling of a Small Transportation Company’s Start-Up with Limited Data during Economic Recession by Xiaoping Fang, Jake Ansell, Weiya Chen

“…This paper presents a modeling method for analyzing a small transportation company’s start-up and growth during a global economic crisis which had an impact on China which is designed to help the owners make better investment and operating decisions with limited data. Since there is limited data, simple regression model and binary regression model failed to generate satisfactory results, so an additive periodic time series model was built to forecast business orders and income. …”
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Prediction model for nonlinear variation of bolt preload with tightening torque based on mechanism and data fusion by Yueqi Qiao, Bing Zhao, Dingshan Deng, Weijin Ouyang

“…Secondly, sensitivity evaluation indicator is established to conduct parameter sensitivity analysis, and the fusion method of “mechanism model guiding data model to perform feature selection” is determined. …”
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