Comparative Evaluation of Ensemble Machine Learning Models for Methane Production from Anaerobic Digestion by Dorijan Radočaj, Mladen Jurišić

“…From the authors’ knowledge based on existing research, present knowledge of their prediction accuracy and utilization in anaerobic digestion modeling relative to individual machine learning methods is incomplete. …”
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Improved MViTv2-T model for insulator defect detection by Fuhong Meng, Guowu Yuan, Hao Zhou, Hao Wu, Yi Ma

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AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems by Fan Zhang, Hiusuet Kung, Fa Zhang, Can Yang, Jianping Gan

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Coupling circuit design for Single-Wire Earth Return PLC applications through cascaded s-parameters optimization by Kristi Beqirllari, Cagil Ozansoy, Douglas Gomes

“…A case study for a PLC targeting a Single Wire Earth Return (SWER) network coupling via a 5.1-nF Coupling Capacitor (CC) exemplifies the need for this research. The proposed method relies on the construction of an s-parameter cascade for the load, source, and matching circuit for the PLC application. …”
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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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From homo sapiens to homo automobilis. Revisiting air quality management in Mexico City by César Nava Escudero

“…Currently, full-time researcher at the Institute of Legal Research (UNAM, México)…”
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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

“…However, the existing research on IRI prediction mainly focuses on using linear regression or traditional machine learning, which cannot take into account the historical effects of IRI caused by climate, traffic, pavement construction and intermittent maintenance. …”
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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

“…<h4>Background</h4>The fatty liver index (FLI) is frequently used as a non-invasive clinical marker for research, prognostic and diagnostic purposes. It is also used to stratify individuals with hepatic steatosis such as non-alcoholic fatty liver disease (NAFLD), and to detect the presence of type 2 diabetes or cardiovascular disease. …”
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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

“…There is a need for ongoing research in the area of the psychometric properties of social skills and behaviours instruments.…”
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On the Combination of Harmonics and Polynoms in Econometric Modeling of RUB/AZN Exchange Rate by L. M. Mamedova

“…Conducting a combinational polynomial and spectral analysis of time series formed on the basis of daily observations of changes in the RUB/AZN exchange rate with pronounced fluctuations for the period 11.05.2017- 02.11.2018 based on computer econometric modeling.The purpose of the research. The possibility of describing the global rate dynamics by approximation with a combination of a nonlinear polynomial trend and harmonic oscillations of various frequencies relative to this curve; the ability to calculate amplitudes and phases, which can be used to estimate the power spectrum of the Fourier approximation; the ability to develop a high-precision algorithm for predicting exchange rate changes in RUB/AZN.Materials and methodology. …”
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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

“…This research article describes the frequency regulation of an interconnected power system that includes wind energy systems and thermal non-reheat systems, with a proportional integral derivative (PID) controller optimized using metaheuristic algorithms such as Genetic-Algorithm (GA), Harmony-Search-Algorithm (HSA), Bat-Algorithm (BA), and Flower-Pollination-Algorithm (FPA). …”
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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

“…Adsorption of T-N and T-P activated carbon was predictable as one of the most promising methods for wastewater treatment. Many research works have been done. The issues are inefficiency in the prediction of wastewater treatment. …”
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