Improved methods for estimation in repeated surveys: Combining time series and calibration by Dalius Pumputis

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Pricing Strategy versus Heterogeneous Shopping Behavior under Market Price Dispersion by Francisco Álvarez, José-Manuel Rey, Raúl G. Sanchis

“…For that purpose, we produce synthetic price data using the family of Generalized Error Distributions that includes normal and quasiuniform distributions as particular cases, and we also generate consumers’ shopping data from different behavioral assumptions. …”
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A Simpler Approach to Coefficient Regularized Support Vector Machines Regression by Hongzhi Tong, Di-Rong Chen, Fenghong Yang

“…We consider a kind of support vector machines regression (SVMR) algorithms associated with lq  (1≤q<∞) coefficient-based regularization and data-dependent hypothesis space. Compared with former literature, we provide here a simpler convergence analysis for those algorithms. …”
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H∞ Filtering for Discrete-Time Genetic Regulatory Networks with Random Delay Described by a Markovian Chain by Yantao Wang, Xingming Zhou, Xian Zhang

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Online Learning Discriminative Dictionary with Label Information for Robust Object Tracking by Baojie Fan, Yingkui Du, Yang Cong

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Model for the Assessment of Seawater Environmental Quality Based on Multiobjective Variable Fuzzy Set Theory by Lina Ke, Huicheng Zhou

“…Through the quantitative research of water-quality data from 2004 to 2008, the model is more reliable than other traditional methods, in which uncertainty and ambiguity of the seawater quality evaluation are considered, and trade the stable results as the final results of seawater quality evaluation, which effectively solved the impact of the fuzzy boundary of evaluation standard and monitoring error, is more suitable for evaluation of a multi-index, multilevel, and nonlinear marine environment system and has been proved to be an effective tool for seawater quality evaluation.…”
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Indoor SLAM Using Laser and Camera with Closed-Loop Controller for NAO Humanoid Robot by Shuhuan Wen, Kamal Mohammed Othman, Ahmad B. Rad, Yixuan Zhang, Yongsheng Zhao

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Efficient Finite Element Methodology Based on Cartesian Grids: Application to Structural Shape Optimization by E. Nadal, J. J. Ródenas, J. Albelda, M. Tur, J. E. Tarancón, F. J. Fuenmayor

“…The cg-FEM methodology uses advanced recovery techniques to obtain an improved solution of the displacement and stress fields (for which a discretization error estimator in energy norm is available) that will be the output of the analysis. …”
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ACtriplet: An improved deep learning model for activity cliffs prediction by in tegrating triplet loss and pre-training by Xinxin Yu, Yimeng Wang, Long Chen, Weihua Li, Yun Tang, Guixia Liu

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A Spatiotemporal Dataset of Soil Properties in Northeast China Based on Soil Sampling and Interpolation From 2009 to 2020 by Shuzhen Li, Jieyong Wang, Xu Lin, Yaqun Liu

“…Various error metrics, including RMSE, MAE, MAXE, MINE and SE were employed to verify the high accuracy and reliability of the spatiotemporal Kriging interpolation method, with the relative error controlled at a minimum of 0.04. …”
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A spatial inventory of freshwater macroinvertebrate occurrences in the Guineo-Congolian biodiversity hotspot by Emmanuel O. Akindele, Abiodun M. Adedapo, Oluwaseun T. Akinpelu, Esther D. Kowobari, Oluwatosin C. Folorunso, Ibrahim R. Fagbohun, Tolulope A. Oladeji, Olanrewaju O. Aliu, Oluwatobiloba S. Adenola, Babasola W. Adu, Francis O. Arimoro, Sylvester S. Ogbogu, Sami Domisch

“…Hence, for any biogeographic analysis, species distribution modelling or conservation initiative, it is crucial to use datasets that are, to the largest possible extent, free of spatial and taxonomic errors. …”
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A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering by Mohammad Mehran Lesan Sedgh, Alimohammad Latif, Sima Emadi

“…By dynamically adjusting recommendations based on real-time user data and behavioral analysis, our system leverages the collective insights of similar users and relevant content. …”
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China’s product-level CO2 emissions dataset aligned with national input-output tables from 1997 to 2020 by Xinbei Li, Yu Liu, Jing Zhang, Meifang Zhou, Bo Meng

“…Abstract Carbon emission research based on input-output tables (IOTs) has received attention, but data quality issues persist due to inconsistencies between the sectoral scopes of energy statistics and IOTs. …”
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Aboveground biomass density maps for post-hurricane Ian forest monitoring in Florida by Inacio T. Bueno, Carlos A. Silva, Caio Hamamura, Victoria M. Donovan, Ajay Sharma, Jiangxiao Qiu, Jinyi Xia, Kody M. Brock, Monique B. Schlickmann, Jeff W. Atkins, Denis R. Valle, Jason Vogel, Andres Susaeta, Mauro A. Karasinski, Carine Klauberg

“…Spatial uncertainty reflecting bootstrap-derived variance remained consistent, with relative standard errors around 90% across the years analyzed. The data are accessible through a web application, RapidFEM4D, enabling researchers and stakeholders to assess AGBD maps for areas of interest. …”
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Machine learning and uncertainty quantification to track and monitor natural frequencies in vibration-based SHM applied to offshore wind turbines by Maximillian Weil, Carlos Sastre Jurado, Wout Weijtjens, Christof Devriendt

“…Vibration-based structural health monitoring (SHM) of (large) infrastructure through operational modal analysis (OMA) is a commonly adopted strategy. This is typically a four-step process, comprising estimation, tracking, data normalization, and decision-making. …”
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A reasoning based explainable multimodal fake news detection for low resource language using large language models and transformers by Hariharan RamakrishnaIyer LekshmiAmmal, Anand Kumar Madasamy

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Optimizing public health management with predictive analytics: leveraging the power of random forest by Hongman Wang, Yifan Song, Yifan Song, Hua Bi

“…The trees grow to full depth and aggregate their predictions to enhance the accuracy. An out-of-bag (OOB) error estimation was applied to refine the model and provide unbiased performance assessments, ensuring robust generalization to unseen data. …”
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Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches by Yan Wang, Mohamed A. Elmeligy, Haytham F. Isleem, Asmaa Y. Hamed, Diyar N. Qader, Mohamed Sharaf, Pradeep Jangir, Arpita, Ghanshyam G. Tejani

“…Various performance metrics, data visualization techniques, SHAP analysis, sensitivity analysis, and error characteristic curves were used to evaluate the prediction performance and analyze the impact of input parameters. …”
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Simulation of lake underwater terrain based on the XGBoost model: a case study of typical lakes on the Tibetan Plateau by Kaixin Hu, Shanlong Lu, Qing Li, Cong Du, Bo Zhang, Peng Du, Harrison Odion Ikhumhen

“…The method leverages the similarity between underwater and surface topography by utilizing a digital elevation model (DEM) as input data. Precision evaluation and analysis were conducted using eight representative lakes from the Tibetan Plateau. …”
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Viscosity modelling of chlorinated brines in three-component systems with a continuously variable temperature range between 293-323 K by Andrés Soto-Bubert, Rashmi Bhardwaj, Satheeshkumar Rajendran, Roberto Acevedo

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