Investigation Study of Structure Real Load Spectra Acquisition and Fatigue Life Prediction Based on the Optimized Efficient Hinging Hyperplane Neural Network Model by Lin Zhu, Benao Xing, Xingbao Li, Min Chen, Minping Jia

“…In the Cauchy-Lorentz distribution, the absolute error data of 92% with EHH-NN model appear in the intermediate range of ±1.65%. …”
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Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed by Chen Yang, Pengfei Jin, Yan Chen

“…Abstract Long short-term memory (LSTM) networks are widely used in biomechanical data analysis but have the significant limitations in interpretability and decision transparency. …”
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A Convolutional Neural Network–Long Short-Term Memory–Attention Solar Photovoltaic Power Prediction–Correction Model Based on the Division of Twenty-Four Solar Terms by Guodong Wu, Diangang Hu, Yongrui Zhang, Guangqing Bao, Ting He

“…The examination of the measured data from PV power stations and the comparison and analysis with other prediction models demonstrate that the model presented in this paper can effectively enhance the accuracy of PV power predictions.…”
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Application of ARIMA (Autoregressive Integrated Moving Average) model to predict Rupiah selling exchange rate against US Dollar by Afif Febriawan, Fitria Virgantari, Isti Kamila, Eduard Taganap

“…The purpose of this study is to analyze the characteristics of daily selling rate Rupiah against US Dollar, determine best model, and make predictions selling rate of Rupiah against US Dollar. Data used is daily data on selling rate of Rupiah against US Dollar 20 November 2020 - 19 January 2023 with details data training 20 November 2020 - 20 November 2022 and data testing 21 November 2022 - 19 January 2023. …”
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A Novel Fractional Order Multivariate Partial Grey Model and Its Application in Natural Gas Production by Hui Li, Huiming Duan, Hongli Chen

“…This paper utilizes partial differentiation to effectively capture the spatiotemporal characteristics of natural gas data and the advantages of grey prediction models. …”
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Peramalan Beban Jangka Panjang pada Gardu Induk Bangil dengan Metode Generalized Regression Neural Network by Ali Rizal Chaidir

“…The forecasting models' accuracy was gauged using Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE). The analysis indicates that Transformer 3 is projected to reach overload by August 2038, with a forecasted peak load of 1407.7465 A. …”
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Testing the Temperature-Mortality Nonparametric Function Change with an Application to Chicago Mortality by Hamdy F. F. Mahmoud

“…For the real data set, the analysis finds significant variation in the functional shapes across years, indicating evolving mortality responses to temperature. …”
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PENGGUNAAN BAHASA ILMIAH PADA PENULISAN SKRIPSI: PROBLEMATIKA DAN ALTERNATIF SOLUSINYA (Studi Kasus Mahasiswa Jurusan Pendidikan Agama Islam IAIN Syekh Nurjati Cirebon) by Tati Sri Uswati

“…The method used is descriptive qualitative. Based on the analysis of data errors, word formation found 31 errors, 61 errors word choice, sentence drafting error 62, 11 arrangement error of reasoning, and the application of rule 105 spelling errors. …”
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Electrolytic properties of carbonic acid solutions and innovative methods of operational control of water quality such as condensation at TPP by Vladimir N. Shcherbakov

“…On the basis of this analysis, an error in determining СО2 concentration and the impurities in vapor in the form of NaCl by the proposed method is estimated. …”
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Calculating Percentiles of <i>T</i>-Distribution Using Gaussian Integration Method by Tzu-Li Tien

“…In the quantitative analysis of the sampling error, the <i>t</i>-distribution is used. …”
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A model reference based adaptive controller for power flow management in microgrid systems by Kruthi Jayaram, H. A. Vidya, J. Ramprabhakar

“…Initially, a PI controller scheme is operated on Microgrid system with Distributed Energy Resources by collecting real time laboratory data of solar and wind. Analysis of demand and supply conditions is implemented using hybrid renewable energy systems. …”
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A Semiblind Receiver for a Two-Way UAV-Aided PIC System Based on the PARAFAC Model by Xi Han, Yichen Liu, Qin Liu, Lijun Wang, Zhengping Li

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Project Quality Assessment Based on Fuzzy Nodeling by E. N. Zhivitskaya, T. A. Safronova

“…Creation fuzzy model for project quality with substantive interpretation for input (projector experience, universality, projector error bar, project complexity, quality of basic data, engineering time) and output (project error) variables is reported in main body. …”
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Application of Bayesian Vector Autoregressive Model in Regional Economic Forecast by Jinghao Ma, Yujie Shang, Hongyan Zhang

“…The analysis in this paper shows that the prediction error of the BVAR model is very small and the prediction ability is very satisfactory. …”
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The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

“…GEOMOD also predicts less complexity in shape but the difference between ground truth data and simulation in 2001 (relative error of 0.4 %) was more than 2010 (relative error of 0.1 %). …”
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Improved flow prediction of non-ideal sonic nozzles by CFD-based surrogate modelling by Sebastian Weiss, Bodo Mickan, Kilian Oberleithner, Markus Bär, Sonja Schmelter

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Analisis Perbandingan Metode Regresi Linier, Random Forest Regression dan Gradient Boosted Trees Regression Method untuk Prediksi Harga Rumah by Evita Fitri

“…The results were obtained from testing a dataset of 2011 records with a division of 80% for data training and 20% for data testing, the data has 6 attributes used in testing including house prices, land area, building area, number of bathrooms, number of bedrooms and the number of garages. …”
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Protection performance of Azadirachta indica leaf essential oil on corrosion of plain carbon steel in weak HCl and NH4Cl by Tolulope Loto Roland, Akpanyung Kingsley

“…At 5% ADI concentration, the data considerably rose to 78.52% and 78.0% after 312 h. …”
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Medium-Term Hourly Electricity Tariff Forecasting Using Ensemble Models by Matrenin P.V., Arestova A.Yu., Antonenkov D.V.

“…The significance of the ob-tained results is the proposed approach for month ahead electricity tariff rates forecasting, which was verified on a four-year dataset with an error of 4 %. The approach is based on open data and open-source machine learning models, which allow specialists with even a basic level of data science skills to put it into practice.…”
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Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations by Matej Antoško, Volodymyr Polishchuk, Martin Kelemen, Anton Korniienko, Miroslav Kelemen

“…The average error in the incorrect response was 7.7% of the experimental data. …”
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