Analyzing the performance of biomedical time-series segmentation with electrophysiology data by Richard Redina, Jakub Hejc, Marina Filipenska, Zdenek Starek

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Evaluating the Security of Merkle Trees: An Analysis of Data Falsification Probabilities by Oleksandr Kuznetsov, Alex Rusnak, Anton Yezhov, Kateryna Kuznetsova, Dzianis Kanonik, Oleksandr Domin

“…A numerical analysis quantifies the discrepancy between exact and approximate probabilities, underscoring the conditions for the effective application of the approximation. This work offers crucial insights into optimizing Merkle Tree structures for bolstering security in blockchain and IoT systems, achieving a balance between computational efficiency and data integrity.…”
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Safety Monitoring of Expressway Construction Based on Multisource Data Fusion by Dianliang Xiao, Tiantao Zhang, Xudong Zhou, Guangshun Zheng, Haoran Song

“…For successful projects, safety monitoring is particularly important. Multisource data fusion is one of the computer application technologies. …”
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Addressing Biological Invasions in Agriculture with Big Data in an Informatics Age by Rebecca A. Clement, Hyoseok Lee, Nicholas C. Manoukis, Yelena M. Pacheco, Fallon Ross, Mark S. Sisterson, Christopher L. Owen

“…Big data approaches are rapidly expanding across many fields of science and are seeing increasing application, yet the use of big data in research related to invasive species lags. …”
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Modelling route choice of Dutch cyclists using smartphone data by Silvia Bernardi, Lissy La Paix-Puello, Karst Geurs

“…Future research can more specifically address the intrapersonal variation in route—destination choice given the availability of longitudinal data.…”
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A robust data-driven approach for modeling turbulent transport by R. Varennes, Z.S. Qu, Y.W. Cho, C. Wan, K. Li, R.A. Heinonen, V. Grandgirard

“…This study highlights the importance of assessing the reliability of data-driven models, especially in view of their application to more complex high-fidelity simulations. …”
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The Mack Chain Ladder and Data Granularity for Preserved Development Periods by Greg Taylor

“…This paper is concerned with the choice of data granularity for the application of the Mack chain ladder model to forecast a loss reserve. …”
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Research on the Digital Twin System of Welding Robots Driven by Data by Saishuang Wang, Yufeng Jiao, Lijun Wang, Wenjie Wang, Xiao Ma, Qiang Xu, Zhongyu Lu

“…With the rise of digital twin technology, the application of digital twin technology to industrial automation provides a new direction for the digital transformation of the global smart manufacturing industry. …”
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Markov analysis and the Langevin equation of the Earth surface temperature data by Maedeh Lak, Sakineh Hosseinabadi, Amir Ali Masoudi

“…Through the application of Markov analysis to the GISS temperature data and a thorough investigation of key transition states, we can explore the potential for formulating a robust equation that effectively captures the dynamics of Earth’s temperature fluctuations. …”
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Data selection strategies for minimizing measurement time in materials characterization by Alexander Liehr, Kristina Dingel, Daniel Kottke, Sebastian Degener, David Meier, Bernhard Sick, Thomas Niendorf

“…Traditionally, more measurement points and, thus, longer data collection times lead to more accurate information. …”
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Temporal Analysis of Multispectral Satellite Data for the Purpose of Urbanization Monitoring by V. Kević, I. Racetin, A. Krtalić

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A Cloud Computing Framework for Space Farming Data Analysis by Adrian Genevie Janairo, Ronnie Concepcion, Marielet Guillermo, Arvin Fernando

“…The corresponding sensor readings and image data were securely streamed through Amazon Web Service Internet of Things (AWS IoT) to an ESP-NOW receiver and Roboflow. …”
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Review of Image Processing Methods in Solar Photospheric Data Analyzes by Mohsen Javaherian, Zahra Eskandari

“…The final section deliberates on post-processing procedures as supplementary steps that are essential for deriving meaningful results from raw data. Effectively, this paper imparts vital information, offering concise explanations regarding the Sun's surface, the application of image processing techniques to various types of photospheric images, indispensable image preprocessing stages, and post-processing procedures aimed at transforming raw data into coherent and comprehensive insights.…”
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MODEL OF DATA TRAFFIC QOS FAST REROUTING IN INFOCOMMUNICATION NETWORKS by Oleksandr Lemeshko, Maryna Yevdokymenko, Oleksandra Yeremenko

“…The aim of the work is the development of a mathematical model of Fast ReRouting with the protection of the Quality of Service level by the bandwidth and probability of packet loss for data traffic. The following tasks are solved in the article: development and research of a fast rerouting flow-based model with the protection of the Quality of Service level of data traffic in the infocommunication network. …”
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Suitability Assessment of Remotely Sensed Urban Air Quality Data by Zixin Zhang, Bin Zou, Shenxin Li

“…This study aims to investigate the consistency of PM_2.5 concentration between remotely sensed data and ground-based data and optimize the accuracy of remotely sensed PM_2.5 concentration data at the urban scale. …”
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Small earthquake location via machine learning with insufficient data by Ji Zhang, Aitaro Kato, Huiyu Zhu, Jie Zhang

“…However, due to the low station density and data quality limitations, numerous small earthquakes remain undetected and unlocated. …”
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Bayesian deconvolution for computational cognitive modeling of fMRI data by Jonathon R. Howlett, Katia M. Harlé, Alan N. Simmons, Charles T. Taylor

“…A central goal of cognitive neuroscience is to make inferences about underlying cognitive processes from observable data. However, current fMRI analysis tools cannot directly estimate latent parameters in computational cognitive models from blood-oxygen-level-dependent (BOLD) signal. …”
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A Survey of Data Stream-Based Intrusion Detection Systems by Rodrigo Sanches Miani, Gustavo Di Giovanni Bernardo, Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria

“…Advances in the field have led to the development of several algorithms that approach the problem under the view of a data stream machine learning task. This task involves a set of steps: data collection or choice of public datasets, data pre-processing, data reduction, development or application of data mining techniques, and evaluation methodology. …”
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The effect of imbalance data mitigation techniques on cardiovascular disease prediction by Raphael Ozighor Enihe, Rajesh Prasad, Francisca Nonyelum Ogwueleka, Fatimah Binta Abdullahi

“…The results showed that the application of data balancing techniques significantly enhances the performance of machine learning models in heart disease prediction and effectively addresses the challenges of overfitting and underfitting with SMOTE-TOMEK, yielding the best-balanced fit as well as the highest precision, recall, F1-score, accuracy of 92%, and ROC-AUC of 96% on the Lightweight Gradient Boosting Machine (LightGBM) model. …”
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Observing grazing patterns with collar-mounted accelerometers and spatial data by Kilian Obermeyer, Kilian Obermeyer, Manfred Kayser, Manfred Kayser, Johannes Isselstein, Johannes Isselstein

“…In pasture-based dairy farming, animal behavior data can improve data-driven pasture management. …”
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