Applied Koopman Theory for Partial Differential Equations and Data-Driven Modeling of Spatio-Temporal Systems by J. Nathan Kutz, J. L. Proctor, S. L. Brunton

“…We consider the application of Koopman theory to nonlinear partial differential equations and data-driven spatio-temporal systems. …”
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Reducing Data Uncertainties: Fuzzy Real-Time Safety Level Methodology for Socio-Technical Systems by Apostolos Zeleskidis, Stavroula Charalampidou, Ioannis M. Dokas

“…It aims to address the data uncertainties resulting from a lack of sensors in complex sociotechnical systems and reduce the need for the determination of their safety level in real-time during their operation. …”
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Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data by Yumeng Hou, Lin Yuan

“…In addition, we describe our methodology and process in making the dataset available with scripts for reproducing similar agent-mediated contexts, data application and inspection cases are provided to discuss our findings and concerns regarding the use of linked open data strategies.…”
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A fast multi-temporal optical data cloud removal method based on isophote constraint by X. Yu, J. Pan, J. Xu, J. Li

“…In addition, this research solves the inapplicability problem when the cloud-contaminated regions overlap between different temporal images, and then extends the application to the field of multi-temporal data cloud removal. …”
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A Multimodal Data Fusion and Embedding Attention Mechanism-Based Method for Eggplant Disease Detection by Xinyue Wang, Fengyi Yan, Bo Li, Boda Yu, Xingyu Zhou, Xuechun Tang, Tongyue Jia, Chunli Lv

“…Further experiments, through ablation studies, evaluated the impact of different attention mechanisms and loss functions on model performance, all of which showed superior performance for the proposed approach. The multimodal data fusion combined with the embedded attention mechanism effectively enhances the accuracy and robustness of the eggplant disease detection model, making it highly suitable for complex disease identification tasks and demonstrating significant potential for widespread application.…”
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Sentiment and Emotional Analysis of The Public Housing Savings Program (TAPERA) using Orange Data Mining by Hawangga Dhiyaul Fadly, Handaru Jati

“…This study employs a text analysis methodology to assess public perception of the People's Housing Savings Program (TAPERA), by examining 3.078 tweets containing the keyword "tapera" using the Orange Data Mining application with two analytical approaches: the Valence Aware Dictionary and Sentiment Reasoner (VADER) for sentiment analysis and the Profile of Mood States (POMS) for emotional analysis. …”
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Developmental Eye Movement (DEM) Test in Adults: Age-Related Changes and Italian Normative Data by Alessio Facchin, Silvio Maffioletti, Roberta Daini

“…This study aimed to develop adult normative data for the Italian-speaking population and assess whether the DEM scores were influenced by age. …”
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Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR. by Anna Hutchinson, Guillermo Reales, Thomas Willis, Chris Wallace

“…We further demonstrate its practical potential through application to an asthma GWAS, leveraging various functional genomic data to find additional genetic associations for asthma, which we validate in the larger, independent, UK Biobank data resource.…”
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An Archive-based Steady-State Fuzzy Differential Evolutionary Algorithm for Data Clustering (ASFDEaDC) by Nushrat Praveen, Vally D

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An efficient smoothing algorithm for range external guidance data based on dynamic threshold and adaptive interpolation by Shixue Zhang, Huihui Cai, Houfeng Wang, Shuai Liu, Qiang He

“…Second, for the interpolation of external guidance data, the coherence of the interpolation calculations is evaluated, and the “stuck” external guidance data is categorized. …”
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An analysis approach for high-field fMRI data from awake non-human primates. by Steffen Stoewer, Jozien Goense, Georgios A Keliris, Andreas Bartels, Nikos K Logothetis, John Duncan, Natasha Sigala

“…fMRI experiments with awake non-human primates (NHP) have seen a surge of applications in recent years. However, the standard fMRI analysis tools designed for human experiments are not optimal for analysis of NHP fMRI data collected at high fields. …”
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Vector visibility graph for rare event classification in complex system multivariate time series data by Bo Peng, Shan Gao

“…Traditional methods often struggle to capture the nonlinear and nonstationary dynamics inherent in complex multivariate time series data, limiting their ability to accurately detect rare events. …”
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Data-Driven Identification of Gas Turbine Engine Dynamics via Koopman Operator Genetic Algorithm by David Grasev

“…The possible solution to this problem lies in data-driven approaches that extract the underlying dynamical features from the measured trajectories. …”
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A New Lunar DEM Based on the Calibrated Chang’E-1 Laser Altimeter Data by Yong Huang, Shengqi Chang, Songhe Qin, Peijia Li, Xiaogong Hu, Min Fan

“…Orbit accuracy and ranging accuracy are the two most important factors to affect the application of altimeter data in the lunar topography. …”
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Algorithm for preliminary processing of charge coupled devices array data based on the adaptive Wiener filter by Hl. S. Litvinovich, I. I. Bruchkouski

“…The algorithm for processing CCD data based on an adaptive Wiener filter is proposed to increase the signal-to-noise ratio by using a priori information about the statistical parameters of the noise components. …”
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Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities by E. Javaherian Pour, B. Atazadeh, A. Rajabifard, S. Sabri

“…This study employs the Labelled Property Graph (LPG) framework to develop a 3D graph data model based on the Utility Network Application Domain Extension (ADE) of the CityGML standard. …”
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Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data by Abhimanyu Thakur, Pedro Correia Santos Bezerra, Abhishek, Shihao Zeng, Kui Zhang, Werner Treptow, Alexander Luna, Urszula Dougherty, Akushika Kwesi, Isabella R. Huang, Christine Bestvina, Marina Chiara Garassino, Fuyu Duan, Yash Gokhale, Bin Duan, Yin Chen, Qizhou Lian, Marc Bissonnette, Jianpan Huang, Huanhuan Joyce Chen

“…Furthermore, QML's application has been extended to the identification of NPs along with EVs in the plasma of CRC patients and experimental mice, achieving higher prediction performance even with a minimal training dataset, demonstrating that QML based electrokinetic mining could identify NPs or EVs with minimal training data, thereby facilitating novel clinical development in the realm of liquid biopsies.…”
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Poverty‐Armed Conflict Nexus: Can Multidimensional Poverty Data Forecast Intrastate Armed Conflicts? by Çağlar Akar, Doğa Başar Sarıipek, Gökçe Cerev

“…It utilizes a machine‐learning algorithm and annually published fragility data to forecast future intrastate armed conflicts. …”
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Automating 3D Building Modeling: A Comparative Study of Data- and Model-Driven Methods by M. Jarząbek-Rychard, S. Rigon, P. Boguslawski, F. Remondino

“…The choice of the evaluation method depends on specific application needs, data quality and scalability requirements.…”
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OTFS-Based Physical Layer Authentication for UAV-Assisted Data Collection in Wireless Sensor Network by Agnes Francis Kawoya, Hua Wang

“…For a communication scenario with a single UAV data collector in a delay-sensitive application, authentication is an important procedure which prevents illegal or malicious sensors from sending fake data to the data collector. …”
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