Asymptotically stable data-driven koopman operator approximation with inputs using total extended DMD by Louis Lortie, James Richard Forbes

“…This paper presents an approach to reduce the bias in an approximate Koopman model, and simultaneously ensure asymptotic stability, when using noisy data. Additionally, the proposed data-driven modeling approach is applicable to systems with inputs, such as a known forcing function or a control input. …”
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Face-to-Face Interactions Estimated Using Mobile Phone Data to Support Contact Tracing Operations by Silvino Pedro Cumbane, Gyözö Gidófalvi, Osvaldo Fernando Cossa, Afonso Madivadua Júnior, Nuno Sousa, Frederico Branco

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Condition monitoring and multi-fault classification of hydraulic systems using multivariate functional data analysis by Cevahir Yildirim, Alba M. Franco-Pereira, Rosa E. Lillo

“…The fault diagnosis of complex nonlinear systems, such as hydraulic systems, has become increasingly important due to advancements in big data analytics, machine learning (ML), Industry 4.0, and Internet of Things (IoT) applications. …”
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Multi-Modal Dataset of Human Activities of Daily Living with Ambient Audio, Vibration, and Environmental Data by Thomas Pfitzinger, Marcel Koch, Fabian Schlenke, Hendrik Wöhrle

“…Flawed recordings were removed, and the different data types were synchronized to provide multi-modal data for each activity instance. …”
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Simple DNA extraction for museum beetle specimens to unlock genetic data from historical collections by Hathal M. Al-Dhafer, Raju Balaji, Mahmoud S. Abdel-Dayem, Iftekhar Rasool, Amr Mohamed, Senthilkumar Palanisamy

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Enhancing Anomaly Detection in Structured Data Using Siamese Neural Networks as a Feature Extractor by Elizabeth P. Chou, Bo-Cheng Hsieh

“…These results highlight the potential of repurposing SNN beyond similarity learning, offering a scalable and effective feature extraction framework for anomaly detection in structured data applications.…”
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A Novel Information Security Framework for Securing Big Data in Healthcare Environment Using Blockchain by Lakshman Kannan Venugopal, Rajappan Rajaganapathi, Abhishek Birjepatil, Sundararajan Edwin Raja, Gnanasaravanan Subramaniam

“…It combines the privacy and security advantages of encryption and decentralized networks offered by Blockchain technology with the scalability of distributed systems to provide an effective secure platform for big data applications. The framework is based on the principles of confidentiality and immutability to ensure the security and privacy of health care data. …”
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Data-driven available capacity estimation of lithium-ion batteries based on fragmented charge capacity by Zhen Zhang, Xin Gu, Yuhao Zhu, Teng Wang, Yichang Gong, Yunlong Shang

“…However, incomplete charging cycles in practical applications challenge conventional methods. Here we manipulate fragmented charge capacity data to estimate available capacity without complete charging information. …”
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Prediction of the Marine Dynamic Environment for Arctic Ice-Based Buoys Using Historical Profile Data by Jingzi Zhu, Yu Luo, Tao Li, Yanhai Gan, Junyu Dong

“…Marine buoys are an important tool for collecting ocean data and studying ocean dynamics, climate change, and ecosystem health. …”
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Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics by Leonidas Theodorakopoulos, Aristeidis Karras, George A. Krimpas

“…These models enable system optimization, reduce the amount of computational overheads, and boost the overall performance of big data applications. Ultimately, this work not only closes significant gaps in predictive performance modeling, but also paves the way for real-time analytics over a distributed environment.…”
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Advancing Data Resilience: An In-Depth Study of Pyramid Codes for Fault Tolerance and Repair Cost Optimization by Chen Yanqiu

“…In the digital era, distributed storage systems are essential for managing vast volumes of data generated by cloud computing, big data, and the Internet of Things. …”
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Measuring Carbon Monoxide With TROPOMI: First Results and a Comparison With ECMWF‐IFS Analysis Data by T. Borsdorff, J. Aan de Brugh, H. Hu, I. Aben, O. Hasekamp, J. Landgraf

“…The striking agreement and also regional differences with ECMWF indicate new exciting applications for the TROPOMI CO data product.…”
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Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level data by Nan Xu, Lin Wang, Yue Ma, Xin Ma, Xiao Hua Wang

“…Leveraging free-access Sentinel-2 optical imagery and station-based water-level data in coastal zones, we explored the integration of Sentinel-2 satellite imagery and water-level data to derive the intertidal topography of sandy beaches. …”
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IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA by Wildan Nurahman, Abdullah Ali, Riser Fahdiran

“…The implementation of the Gabella method for detecting ground clutter in Padang weather radar data was suboptimal. This was due to the most duplicated data at the same point being only 15.97% of the total data. …”
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Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data by Wenjun Li, Ting Li

“…Our findings provide valuable insights for implementing data-driven predictive maintenance strategies in real-world industrial applications.…”
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Spatio-Temporal Geographic Networks for Value Co-Creation and Technology Transfer in China with Patent Data by Yi Su, Ao Lv, Pengfei Zhi, Jiahui Chai, Jingjing Tian

“…To examine the state and distribution characteristics of inter-city knowledge flows, this study utilizes patent data from the China National Intellectual Property Administration database and conducts in-depth data exploration to construct two urban knowledge networks (UKN). …”
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A Novel System for Confidential Medical Data Storage Using Chaskey Encryption and Blockchain Technology by Aymen Mudheher Badr, Lamia Chaari Fourati, Samiha Ayed

“…Our results showing that the system provides a highly secure and scalable solution for storing confidential medical data, with potential applications in a wide range of healthcare settings. …”
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A Combined Approach of Heat Map Confusion and Local Differential Privacy for the Anonymization of Mobility Data by Christian Dürr, Gabriele S. Gühring

“…This two-tiered anonymization process balances the trade-off between privacy and data utility, providing a robust defense against reidentification while preserving data accuracy for practical applications. …”
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Research on the Recommendation Algorithm of Rural Tourism Routes Based on the Fusion Model of Multiple Data Sources by Hong Li, Man Qiao, Shuai Peng

“…It is worth pointing out that the recommendation algorithm proposed in this paper under the fusion of multiple data sources is not necessarily applicable to data sources with weak correlation, such as travel data sources and music data sources, which are relatively weakly correlated, and the algorithm is slightly weak in making predictions of user preferences.…”
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ViCoW: A dataset for colorization and restoration of Vietnam War imageryMendeley Data by Duc-Minh Nguyen, Tri-Nhan Nguyen, Trung-Quan Hoang, Cao Vu Bui

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