The crane radar: Development and deployment of an operational eco-digital twin by K. De Koning

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Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…The research compares two distance measurement methods: Chebyshev distance and Manhattan distance. …”
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Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model by Zehua Li, Yongjun Lin, Yihui Pan, Xu Ma, Xiaola Wu

“…In seedling cultivation of hybrid rice, fast estimation of seedling density is of great significance for classifying seedling cultivation. This research presents an improved YOLOv8 model for estimating seedling density at the needle leaf stage. …”
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Statistic Model of Homodyne Acousto-Optic Spectrum Analyzer by L. A. Aronov, Yu. S. Dobrolensky, G. V. Kulak

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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

“…Also, it shows that the proposed LSTM+MA model significantly outperforms other models, with an <i>R</i>² of 0.965 and a mean square error (MSE) of 0.030 in the test datasets. Moreover, an overfitting score is proposed in this work to represent the severity degree of the overfitting problem, and it shows that the proposed model does not suffer severely from overfitting.…”
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Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling. by Hykoush A Asaturyan, Nicolas Basty, Marjola Thanaj, Brandon Whitcher, E Louise Thomas, Jimmy D Bell

“…The results obtained for FLI+ outperform the original FLI by delivering a lower mean absolute error by approximately 47%, a lower standard deviation by approximately 20%, and an increased adjusted R2 statistic by approximately 49%, reflecting a more accurate representation of liver fat content.…”
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Evaluating the Psychometric Quality of Social Skills Measures: A Systematic Review. by Reinie Cordier, Renée Speyer, Yu-Wei Chen, Sarah Wilkes-Gillan, Ted Brown, Helen Bourke-Taylor, Kenji Doma, Anthony Leicht

“…However, eight measures did not report measurement error, nine measures did not report cross-cultural validity and eleven measures did not report criterion validity.…”
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On the Combination of Harmonics and Polynoms in Econometric Modeling of RUB/AZN Exchange Rate by L. M. Mamedova

“…The official statistics of the State Statistics Committee of Azerbaijan were used; classical methods of mathematical analysis and economic analysis; methods of econometrics, harmonic (Fourier) analysis, statistical spectral analysis, “Fourier analysis” of the MS Excel add-in, tools of the Eviews 8 application package with the standard deviation and average approximation error being taken into account, the necessary statistical procedures required for identifying and estimating the parameters of the model and checking its adequacy and accuracy.Results. …”
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Seesaw-type force sensor with variable spring constant utilizing magnetic restoring force and external laser displacement measurement by Soya SATO, Makoto ASAI, Hidetoshi TAKAHASHI

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Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms by Shahnawaj Shahnawaj, Saurabh Chanana, Ravinder Singh Bhatia

“…To minimize the fitness function which is based on ITAE (Integral of Time multiplied Absolute Error) criteria composed of frequency and tie-line power changes, we have obtained an optimum solution in terms of PID controller gain values using the metaheuristics optimizing techniques. …”
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Study on Breathing Effect Under the Coupled Flow Between Formation and Wellbore During Deepwater Drilling by Ming Xiang, Jingchao Li, Xianghua Zhang, Xuerui Wang, Xingxing Zhang, Hao Li

“…The model was applied to a subsalt well in the deepwater region of Mexico, and the results showed that the model’s accuracy had an error of less than 10% compared to the field data. …”
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Parameter Optimization and Experimental Study on Alfalfa Stem Flattening Process Based on DEM–MBD by Zhikai Yang, Keping Zhang, Jinlong Yang, Yaping Yao

“…These research findings provide theoretical basis and technical support for the design and optimization of alfalfa flattening and modulating devices.…”
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One-wheel electric detachable scooter design for manual wheelchair with autonomous intelligent control by Laurentius Kuncoro Probo Saputra, Dechrit Maneetham

“…This configuration achieved 75.1 % lateral error performance, 80.8 % velocity, and 89.0 % time performance in comparison with other parameter configuration scenarios in this research.…”
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Mesoscale Modelling of the Mechanical Behavior of Metaconcretes by Antonio Martínez Raya, Gastón Sal-Anglada, María Pilar Ariza, Matías Braun

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An Intelligent Carbon-Based Prediction of Wastewater Treatment Plants Using Machine Learning Algorithms by Anwer Mustafa Hilal, Maha M. Althobaiti, Taiseer Abdalla Elfadil Eisa, Rana Alabdan, Manar Ahmed Hamza, Abdelwahed Motwakel, Mesfer Al Duhayyim, Noha Negm

“…Experiment evaluation shows that a total suspended solid predicted by proposed model is 91 with accuracy of 93%. The relative error rate of prediction is 12.03 which is lesser than existing models.…”
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Investigation of a NOx emission from coal power plants in Texas, United States and its impact on the environment by Mikalai Filonchyk, Michael P. Peterson

“…Comparisons of bottom-up inventories for EDGAR and EGRID show a high correlation (r=0.956) and a low root mean square error (0.766). A more reasonable control policy would lead to much reduced NOx emissions.…”
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Adaptive Augmented Reality Architecture for Optimising Assistance and Safety in Industry 4.0 by Ginés Morales Méndez, Francisco del Cerro Velázquez

“…The experimental results demonstrated statistically significant enhancements in task completion time, error rates, perceived cognitive load, operational efficiency, and safety indicators in comparison with conventional methods. …”
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A Bayesian Additive Regression Trees Framework for Individualized Causal Effect Estimation by Lulu He, Lixia Cao, Tonghui Wang, Zhenqi Cao, Xin Shi

“…In causal inference research, accurate estimation of individualized treatment effects (ITEs) is at the core of effective intervention. …”
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Simulation of the micro-dynamics in soil–cornstalk–disc interactions using the discrete element method by Peng Wu, Xirui Zhang, Ying Chen

“…The model effectively predicted corn stalk cutting effectiveness, draft force, and vertical force, with an overall relative error of 16.4 %. Micro-dynamic analysis showed that as soil bulk density decreased (within a range of 1.06 to 1.52 Mg m⁻³), corn stalk sinkage and soil supporting force increased, while corn stalk intrusion force decreased. …”
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The effects of balance training on physical fitness and skill-related performance in basketball players: a systematic review by Zhaoran Wang, Nanting Chen, Shudian Cao, Lei Gao, Soh Kim Geok, Jia Liu

“…Nevertheless, certain assessments such as the balance error scoring system, triple hop distance, 30-second maximal performance jump, single-leg triple hop, Y reactive agility, and maneuver running tests did not show significant improvements. …”
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