A Rapid DMeyer-CWT Method Application to the Spectrophotometric Data for the Quantification of Losartan Potassium and Hydrochlorothiazide in a Binary Mixture by Erdal Dinç, Özgür Üstündağ

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Application of Three-Phase Linearized Power Flow and Line Loss Analysis of Distribution Network Driven by Data and Physics Fusion by Huaitian MU, Hongliang LIAN, Juan LIU, Yanqiong LI

“…Moreover, because the grid-connected distributed generation changes the power flow direction of the system, the traditional theoretical line loss calculation methods such as the equivalent resistance method and the pressure drop method are no longer applicable. In order to solve the above problems, this paper proposed a smoothing model considering on-load tap changer regulation and distributed generation droop control and constructed a fast calculation model of linearized theoretical line loss of a three-phase distribution network driven by data and physics fusion. …”
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On the Application of Probabilistic Route Choice Models to Urban Rail Transit Networks Containing Small-Scale OD Trip Data by Wei Zhu, Changyue Xu, Amr M. Wahaballa, Wenbo Fan, Seham Hemdan

“…However, its performance varies depending on the characteristics of the origin–destination (OD) trip data and should be examined carefully. This paper proposes a framework for validating the PRC model on its application to urban rail transit (URT) networks containing small-scale OD trip data. …”
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Estimation of parameters for the modified Weibull distribution under step-stress accelerated life testing with application to aircraft windshields data by Mohammed M. A. Almazah, Mohammed A. Alshahrani, Qasim Ramzan, Irfan Ali Raza, Muhammad Tahir, Zahoor Ahmad

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Multiple myeloma as a challenging multidimensional random process: a data-driven web-based application for treatment selection by Alexander S. Luchinin, Tigran G. Gevorkyan, Anastasia A. Semenova

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Research on the application of network security defence in database security services based on deep learning integrated with big data analytics by Feilu Hang, Linjiang Xie, Zhenhong Zhang, Wei Guo, Hanruo Li

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Non-parametric estimation of survival probabilities with a time-dependent exposure switch: application to (simulated) heart transplant data by Davide Paolo Bernasconi, Maria Grazia Valsecchi, Laura Antolini

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Prediction of Innovation Values of Countries Using Data Mining Decision Trees and a Comparative Application with Linear Regression Model by Merve Doğruel, Seniye Ümit Fırat

“…Linear regression analysis was performed with the same data set, and the regression tree obtained by the CART algorithm was compared with the linear regression model.…”
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Application of chemometric analysis using physicochemical and chromatographic data to differentiate the origin of plant protection products containing trinexapac-ethyl by Patrycja Marczewska, Joanna Rolnik, Tomasz Stobiecki

“…This study explored the application of chemometric methods based on physical, chemical, and technical parameters, as well as data obtained by high-performance liquid chromatography with a diode array detector (HPLC-DAD) and headspace gas chromatography coupled with mass spectrometry (HS-GC/MS), to verify the authenticity of PPPs containing trinexapac-ethyl. …”
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Detection of Illicit Conservation Treatments in Sea Bass (<i>Dicentrarchus labrax</i>): Application and Data Integration of NIR Spectrometers by Giovanna Esposito, Alessandro Benedetto, Elisa Robotti, Masho Hilawie Belay, Eleonora Goggi, Simone Cerruti, Nunzia Giaccio, Davide Mugetti, Emilio Marengo, Laura Piscopo, Marzia Pezzolato, Elena Bozzetta, Maria Cesarina Abete, Paola Brizio

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Artificial Polytropic Behavior of Plasmas Determined from the Application of Chi-squared Minimization Analysis to Data with Significant Statistical Uncertainty by Georgios Nicolaou, George Livadiotis, Charalambos Ioannou

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Modified tree-based selection in hierarchical mixed-effect models with trees: A simulation study and real-data application by Asrirawan, Khairil Anwar Notodiputro, Budi Susetyo, Sachnaz Desta Oktarina

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Can linear regression modeling help clinicians in the interpretation of genotypic resistance data? An application to derive a lopinavir-score. by Alessandro Cozzi-Lepri, Mattia C F Prosperi, Jesper Kjær, David Dunn, Roger Paredes, Caroline A Sabin, Jens D Lundgren, Andrew N Phillips, Deenan Pillay, EuroSIDA Study, United Kingdom CHIC/United Kingdom HDRD Study

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Data-Driven Incipient Fault Prediction for Non-Stationary and Non-Linear Rotating Systems: Methodology, Model Construction and Application by Qingfeng Wang, Bingkun Wei, Jiahe Liu, Wensheng Ma

“…Based on machine learning technology, this paper studies an incipient fault prediction model applying with wavelet packet decomposition and dynamic kernel principal component analysis (WPD-DKPCA) to meet the needs of engineering applications. The incipient fault prediction WPD-DKPCA model, which does not require knowledge on equipment structure and failure mechanisms, only requires normal state data of the machine, and incipient fault prediction can be achieved through self-learning. …”
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Continuous glucose data construction and risk assessment application of diabetic retinopathy complications for patients with type 2 diabetes mellitus by Yaguang Zhang, Liansheng Liu, Hong Qiao

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Application of electrical nonlinear load harmonic analysis method integrating intelligent sensor data in intelligent agricultural power management by Jilei Qu, Meiying Niu, Qing Lin, Yanyan Li

“…Therefore, this method, combined with intelligent sensor data, has high engineering application value for detecting and locating harmonic sources in intelligent agricultural power management.…”
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Uncertain Parameter Numerical Model Updating According to Variable Modal Test Data in Application of Large Composite Fuselage Panel by Marcin Luczak, Antonio Vecchio, Bart Peeters, Ludo Gielen, Herman Van der Auweraer

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Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applicationsMendeley Data by Abdelaziz Mojahid, Driss El Ouai, Khalid El Amraoui, Khalil El-Hami, Hamou Aitbenamer

“…The importance of this dataset lies in: (1) contribute to fill the gap of lack of GPR data, (2) the universality of the data, (3) its potential to enhance the accuracy and efficiency to detect subsurface anomaly through the application of deep learning models, (4) GPR surveys are highly effective but still expensive, and its processing is time-consuming. …”
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Protocol for automated graph-based clustering of single-cell RNA-seq data with application in mouse intestinal stem cells by Alexander L.E. Wang, Luca Zanella, Yosuke Ochiai, Leonardo Golinelli, Andrea Califano, Ermanno Malagola, Alessandro Vasciaveo

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VANTAGE: An open‐source application for visualisation, navigation and analysis of video and ancillary time‐series data in bio‐logging studies by Stefan Schoombie, Tagen deWet, Stefan Britz, Andrew D. Lowther, W. Chris Oosthuizen

“…The labelled time‐series data can then be exported for further analyses (e.g., in machine learning applications). …”
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