The Problem with Time: Application of Partial Least Squares Analysis on Time-Frequency Plots to Account for Varying Time Intervals with Applied EEG Data by Jessie M. H. Szostakiwskyj, Filomeno Cortese, Raneen Abdul-Rhaman, Sarah J. Anderson, Amy L. Warren, Rebecca Archer, Emma Read, Kent G. Hecker

Get full text

MATLAB Application for User-Friendly Design of Fully Convolutional Data Description Models for Defect Detection of Industrial Products and Its Concurrent Visualization by Fusaomi Nagata, Shingo Sakata, Keigo Watanabe, Maki K. Habib, Ahmad Shahrizan Abdul Ghani

“…In this paper, a fully convolutional data description (FCDD) model is applied to defect detection and its concurrent visualization for industrial products and materials. …”
Get full text

Application of the wavelet transform in problems of searching for a damaged connection with a single-phase earth fault according to SV-stream data by A. O. Paramzin, S. Yu. Dolinger

Get full text

Spatiotemporal Data Graph Modeling and Exploration of Application Scenarios in “Power Grid One Graph” by Peng Li, Zhen Dai, Yachen Tang, Guangyi Liu, Jiaxuan Hou, Qinyu Feng, Quanchen Lin

“…By modeling the spatiotemporal data of the power grid, it is possible to better understand its operational status, identify potential issues and risks, and take timely measures to adjust and optimize the system. …”
Get full text

Comparison of methods of optimal cut-point selection for biomarkers in diagnostic medicine: a simulation study with application of clinical data in health informatics by Mojtaba Hassanzad, Karimollah Hajian-Tilaki, Zinatossadat Bouzari, Shahla Yazdani

“…This simulation study was aimed to compare five popular methods with application of clinical examples. Results The data of simulation was generated from the 12 configurations of binormal, bigamma, and biexponential pairs with different sample sizes The results showed that the four popular methods of Youden, Euclidean, Product, and Index of Union (IU) yielded identical optimal cut-point under binormal model with homoscedastic. …”
Get full text

Methods for modeling gestational weight gain: empirical application using electronic health record data from a safety net population by Anna Booman, Kimberly K. Vesco, Rachel Springer, Dang Dinh, Shuling Liu, Kristin Lyon-Scott, Miguel Marino, Jean O’Malley, Amy Palma, Teresa Schmidt, Jonathan M. Snowden, Kalera Stratton, Sarah-Truclinh Tran, Janne Boone-Heinonen

“…Methods We used clinical data on 44,801 pregnant people from community-based health care organizations with extensive longitudinal measures and substantial representation of understudied subgroups. …”
Get full text

Emission-line Stacking of 21 cm Intensity Maps with MeerKLASS: Inference Pipeline and Application to the L-band Deep-field Data by Zhaoting Chen, Steven Cunnington, Alkistis Pourtsidou, Laura Wolz, Marta Spinelli, José Luis Bernal, Matilde Barberi-Squarotti, Stefano Camera, Isabella P. Carucci, José Fonseca, Keith Grainge, Melis O. Irfan, Mario G. Santos, Jingying Wang, (MeerKLASS Collaboration)

Get full text

Application of harmony search algorithm in optimizing autoregressive integrated moving average: A study on a data set of Coronavirus Disease 2019 by Riya Karmakar, Sandip Chatterjee, Debabrata Datta, Dipankar Chakraborty

“…Furthermore, a novel application of HS has also been discussed in this paper.…”
Get full text

Estimating rock strength parameters across varied failure criteria: Application of spreadsheet and R-based orthogonal regression to triaxial test data by Roberto Úcar, Luis Arlegui, Norly Belandria, Francisco Torrijo

“…In this study, we introduce the application of an underutilized statistical technique—orthogonal regression— well-suited for analyzing triaxial test data. …”
Get full text

Application of a geostatistical algorithm for correcting well logging data when modelling complex hydrocarbon deposits at the stage of additional field exploration by V. L. Shuster, O. V. Tjukavkina, I. S. Permyakova, I. L. Kapitonova

“…Optimization of the selection process of multivolume, multiparameter logging data when modelling a complex oil reservoir at the stage of additional field exploration, grouping well data by quality, completeness and uniformity of their distribution over the study area, as well as identifying inaccuracies (errors) in the field data (registration of signals in probes, errors in measurements of directional survey, borehole picks, etc.).Materials and methods. …”
Get full text

Dataset on the synthesis, characterization, and application of MIL-53(Al)@Biomass hybrid for efficient oxytetracycline elimination via adsorption and photocatalysisMendeley Data by Kevin Jhon Fernández-Andrade, Alex Ariel Fernández-Andrade, Luis E. Arteaga-Pérez, Joan Manuel Rodriguez-Diaz

“…Adsorption data include information on the effect of MIL-53(Al)@RH dosage, solution pH, and kinetics measurements at different initial concentrations of OTC. …”
Get full text

A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen by Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

“…The method can accurately identify damage on bridges using insufficient sensors on the bridge deck, which has valuable potential for application to real-world bridges with monitoring data. …”
Get full text

Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data by Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera

“…This approach is validated using both synthetic data and real F-18 flight test signals, which highlights its potential for real-time analysis and broader applicability in aeroelastic testing.…”
Get full text

High-resolution surface wave dispersion spectrum computation based on iterative threshold shrinkage algorithm and its application to irregularly sampled data by Luo Li, Luo Li, Xuri Huang, Xuri Huang, Weiping Cao, Hai Yao, Hai Yao, Yungui Xu, Yungui Xu, Huatao Zhao, Huatao Zhao, Bin Wu

“…Surface waves have proven to be valuable instruments in subsurface investigation, finding applications in diverse fields such as hydrocarbon and mineral resource exploration. …”
Get full text

Automated denoising techniques for sea surface temperature and salinity data from opportunity vessels: application to the Ocean Globe Race 2023-2024 by Nicolas Werner-Pelletier, Oriol Carrasco-Serra, Oriol Carrasco-Serra, Marta Umbert, Nina Hoareau, Jordi Salat, Thierry Reynaud

“…This work is a step forward in oceanographic data processing and aims to provide a tool with a wide range of applications.…”
Get full text

Soft computing applications in asphalt pavement: A comprehensive review of data-driven techniques using response surface methodology and machine learning by Nura Shehu Aliyu Yaro, Muslich Hartadi Sutanto, Mohd Rosli Hainin, Noor Zainab Habib, Aliyu Usman, Muhammad Sani Bello, Surajo Abubakar Wada, Abiola Usman Adebanjo, Ahmad Hussaini Jagaba

“…The goal of this paper is to provide a scientometric and systematic review of the application of RSM and ML applications in data-driven approaches such as optimizing, modeling, and predicting asphalt pavement performance to achieve sustainable asphalt pavements in support of numerous sustainable development goals (SDGs). …”
Get full text

Application and Evaluation of the Hoffman et al. (2020) Data Rescue Framework using an historic Scottish Cloud and Rain Chemistry Dataset exemplar by Shona Ferguson, John Cape, Alan Crossley, Frank Harvey, David Fowler, David Leaver, Christine Braban

Get full text

Designing and evaluating a novel mobile application for Helping Babies Breathe skills retention in Uganda: comparative study protocol by Shaun K Morris, Hasan Shamsh Merali, Natalie Hoi-Man Chan, Niraj Mistry, Ryan Kealey, Douglas Campbell, Santorino Data

“…The FGDs are designed with a human factors perspective, enabling collection of relevant data for the prototype version of HBB Prompt. The app will then undergo usability and feasibility testing through FGDs and simulations. …”
Get full text

A Low-Cost Wireless Monitoring System for Photovoltaic Systems: Performance Analysis and Potential Application in Direct-Current Nanogrids by Norman J. Beltrán Castañón, Fredy Chura Acero, José Ramos Cutipa, Omar Chayña Velásquez, Henry Shuta Lloclla, Edisson Cruz Ticona

“…This study presents a low-cost wireless monitoring system for PV systems, designed for performance analysis and with potential application in DC nanogrids. The system, based on an Arduino Nano and Raspberry Pi architecture, captures real-time data on key electrical parameters such as voltage, current, and power, as well as environmental conditions like temperature and irradiance, which are critical factors influencing PV system performance. …”
Get full text

Application of Combined Weighting–Fuzzy Hierarchical Model in Condition Assessment of Concrete Continuous Girder Bridges by Jiali Yue, Hailin Lu, Rusheng Qian, Jun Tang

“…A three-span prestressed concrete continuous girder bridge in Wuhan was evaluated using health monitoring data and manual inspection information and compared to the results obtained using the traditional methods. …”
Get full text