Using Bootstrapping to Determine Artificial Neural Network Confidence Intervals—Case Study of Particleboard Internal Bond Determined from Production Data by Francisco García Fernández, Paloma de Palacios, Alberto García-Iruela, Luis García Esteban

“…To achieve this, multiple models were trained and validated using experimental data taken from real production processes. The results show that the methodology proposed can be used to obtain a high level of accuracy (determination coefficient R² = 0.96) and a coverage probability of 93%. …”
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Bayesian Denoising Algorithm for Low SNR Photon-Counting Lidar Data via Probabilistic Parameter Optimization Based on Signal and Noise Distribution by Qi Liu, Jian Yang, Yue Ma, Wenbo Yu, Qijin Han, Zhibiao Zhou, Song Li

“…This work provides a robust framework for adaptive parameter selection in low-SNR photon-counting Lidar applications.…”
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Determining Offshore Ocean Significant Wave Height (SWH) Using Continuous Land-Recorded Seismic Data: An Example from the Northeast Atlantic by Samaneh Baranbooei, Christopher J. Bean, Meysam Rezaeifar, Sarah E. Donne

“…This suggests a pathway to a complementary, exceptionally cost-effective, data-driven approach for future operational applications in real-time SWH determination.…”
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Dataset of subjective human responses and objective metrics related to motion sickness collected and computed on a winter research voyageSUNScholarData by Nicole Catherine Taylor, Anriëtte Bekker, Karel Kruger

“…Subjective human responses related to motion sickness were collected from 63 participants through paperbound questionnaires and, in parallel, from 15 participants through a mobile application that is part of a novel human cyber-physical system. …”
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Does Digital Village Construction Promote Agricultural Green Total Factor Productivity? An Empirical Study Based on China’s Provincial Panel Data by Lingling Xu, Danai Tanamee, Suppanunta Romprasert

“…Based on endogenous growth theory and technological innovation theory, this paper uses panel data from 30 provinces in China from 2011 to 2022 to investigate the impact of digital village construction on agricultural green total factor productivity (AGTFP). …”
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Water equivalent of snow retrieved from data of passive microwave scanning with the use of artificial neural networks over the Russian Federation territory by A. A. Volchek, D. A. Kostyuk, D. O. Petrov

“…Validation was performed using data from the same sources collected during 7 years (1992–1998). …”
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Evaluating time-lagged relationships between groundwater storage and river discharge using GRACE-based data: insights from the Potomac Basin by AJ Villaruel, Alimatou Seck, Cherie Schultz

“…While practical use of native GRACE data has been challenging for local, small-scale applications, this study demonstrates the utility of the GRACE-based GDI in forecasting low flows and informing regional water resource management decisions during droughts.…”
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Childhood violence exposure and its contributing factors in Indonesia: a secondary data analysis of the National Survey on Children and Adolescents’ Life Experience by Dwi Octa Amalia, Sabarinah Sabarinah, Kemal N Siregar, Ella Nurlaella Hadi

“…Future research should explore the practical application of early detection strategies to better support these vulnerable groups.…”
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Prevalence and Factors Associated With Sexually Transmitted Infections Among Women of Reproductive Age in Tanzania: A Cross‐Sectional Analysis of National Data by Fabiola V. Moshi, Jovin R. Tibenderana, Thadei Liganga, Jomo Gimonge, Sanun Ally Kessy

“…In Tanzania, however, data on STIs remains limited. This study seeks to bridge that gap by determining prevalence and factors associated with STIs among WRA in Tanzania. …”
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Machine learning classifiers to detect data pattern change of continuous emission monitoring system: A typical chemical industrial park as an example by Zhefeng Xu, Xiahong Shi, Wei Shu, Yilu Xin, Xuan Zan, Zhaonian Si, Jinping Cheng

“…This study explores the application of machine learning classifiers to analyse Continuous Emission Monitoring Systems data from 107 waste discharge outlets across 31 corporations in a Chinese chemical industrial park. …”
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Estimation of Internal Solitary Waves Propagation Speeds and Occurrence Using Long-Term Sentinel-1 SAR Data in the Lombok Strait, Indonesia by Chonnaniyah, Abd. Rahman As-Syakur, I Made Dharma Raharja, Takahiro Osawa

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Implementasi Algoritma AES 256 CBC, BASE 64, Dan SHA 256 dalam Pengamanan dan Validasi Data Ujian Online by Ferzha Putra Utama, Gusman Wijaya, Ruvita Faurina, Arie Vatresia

“…This research resulted in a website-based online exam application built using MERN Stack technology. The test results in validating online exam data that has been encrypted using the system and OpenSSL show the same hash value. …”
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Comparing Generative AI Literature Reviews Versus Human-Led Systematic Literature Reviews: A Case Study on Big Data Research by Davide Tosi

“…This study investigates the performance of GPT-4-powered Consensus in conducting an SLR on Big Data research, comparing its results with a manually conducted SLR. …”
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Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…Machine learning of median grain size from conventional logging data was systematically carried out through conventional logging sensitivity curve optimization, algorithm modeling, network parameter optimization, median grain size prediction, and validation, and the relative error in its quantitative prediction met application requirements. …”
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An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model by Rajesh Kannan Megalingam, Kariparambil Sudheesh Sankardas, Sakthiprasad Kuttankulangara Manoharan

“…Motor imagery EEG (MI-EEG) data classification is one of the key applications within brain–computer interface (BCI) systems, utilizing EEG signals from motor imagery tasks. …”
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Addendum: Post-2000 nonlinear optical materials and measurements: data tables and best practices (2023 J. Phys. Photon. 5 035001) by D Ososanya, R Mueller, E T Scheuermann, A Gupta, E Oppong, A Ball, G Boudebs, A S L Gomes, N Vermeulen, N Kinsey

“…Presented in the form of a web-application, users are able to search, filter, and extract information ranging from material and structure information, excitation parameters, measurement technique, and nonlinear coefficients from the data tables presented in Vermeulen et al (2023 J. …”
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A case study on lentil to demonstrate the value of using historic data stored in genebanks to guide the selection of resources for research and development projects by Nadiia Vus, Olha Bezuhla, Hervé Houtin, Florence Naudé, Antonina Vasylenko, Anthony Klein, Oleh Leonov, Nadim Tayeh

“…This exchange was accompanied by the transfer of phenotyping data for multiple traits. Considering that data collected in different environments provide important information on trait stability, the lentil accessions were phenotyped under new conditions through field research. …”
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A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

“…However, existing identification methods have limitations such as subjectivity, poor spatial continuity, and a narrow application scale. Thus, from a morphology perspective, our study proposed a rapid, highly applicable, and spatiotemporally comparable nonparametric approach for detecting morphological urban polycentric spatial structure (MUPS) by integrating remote sensing nighttime light (NTL) and point of interest (POI) data. …”
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Use of GLOBE observer citizen science data to validate continental-scale canopy height maps derived from ICESat-2 and GEDI by Mei-Kuei Lu, Sorin C. Popescu, Brian A. Campbell, Brian A. Campbell, Brian A. Campbell

“…The Global Learning and Observations to Benefit the Environment (GLOBE) Observer application is a mobile extension of the GLOBE Program that is empowering the public to collect environmental data in support of both scientific research and educational outreach. …”
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An Exploration of Candidate Korean Native Poaceae Plants for Breeding New Varieties as Garden Materials in the New Climate Regime Based on Existing Data by Sang Heon Kim, Wonwoo Cho

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