Performance Analysis of the Item-Based Collaborative Filtering Model in Yogyakarta Tourism Recommendations by Melany Mustika Dewi, Ria Andriani, M. Nuraminudin

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Magnitude Modelling of HRTF Using Principal Component Analysis Applied to Complex Values by Oscar Alberto RAMOS, Fabián Carlos TOMMASINI

“…The HRTF log-magnitude is the most used format of input data to the PCA, but it has been shown that if the input data is HRTF linear magnitude, the cumulative variance converges faster, and the mean square error (MSE) is smaller. …”
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Application of Regression Analysis to Identify the Soil and Other Factors Affecting the Wheat Yield by Azhar Hayat, Muhammad Amin, Saima Afzal, Abdisalam Hassan Muse, Omer Mohamed Egeh, Hafiz Saqib Hayat

“…For analysis purposes, the required data were collected from the district Multan. …”
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Analysis of new approaches used in portfolio optimization: a systematic literature review by Danilo Alcantara Milhomem, Maria José Pereira Dantas

“…Main findings A point of attention should be given to the input data of optimization models. Depending on the degree of the estimation error of these input parameters, the optimization results may be lower than the results of the 1/N trading strategy. …”
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Experimental Analysis and Simulation Application of 1.5MW Wind Turbine Gearbox by Ruoyu Xu, Jie Chen, Rongjing Hong

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Studying the temporal bias of the steady-state approximation of 234Th-derived carbon export during phytoplankton blooms by Mingxian Guo, Mingxian Guo, Peng Xiu, Peng Xiu, Kuanbo Zhou, Kuanbo Zhou

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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis by Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz

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Soft Robot Workspace Estimation via Finite Element Analysis and Machine Learning by Getachew Ambaye, Enkhsaikhan Boldsaikhan, Krishna Krishnan

“…Machine learning is used to establish a forward kinematic relationship between the pressure inputs and the motion responses of the soft robot using data from FEA. Accordingly, this research employs an artificial neural network that is trained on FEA data to estimate the reachable workspace of the soft robot for given pressure inputs. …”
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MODELING THE IDX30 STOCK INDEX USING STEP FUNCTION INTERVENTION ANALYSIS by Rais Rais, Dini Aprilia Afriza, Iman Setiawan, Hartayuni Sain, Fadjryani Fadjryani, Junaidi Junaidi

“…These findings highlight the effectiveness of intervention analysis in modeling financial time series data affected by external disturbances.…”
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Thermodynamic Performance Analysis of Gas Cooler in CO2 Heat Pump Systems by Zhang Peng, Yao Qiufeng, Yang Yushen, Peng Xu, Zhang Jian, Wang Dingbiao

“…The effects of the inlet water temperature, CO2 pressure, and mass flow rate of the gas cooler heat transfer, entransy dissipation, exergy loss, exergy efficiency, and outlet water temperature were studied using a single factor analysis method. Compared to the experimental data, the overall error of the model was within ±10% when the inlet temperature was 24.5-35.0 ℃, the CO2 pressure was 8.4-10.7 MPa, and CO2 mass flow rate was 0.0326-0.0476 kg/s. …”
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ANALYSIS OF CTT AND IRT ON NON-TEST MEASUREMENT INSTRUMENTS: MATHEMATICAL MINDSET SCALE by Priarti Megawanti, Nurimani Nurimani, Meyta Dwi Kurniasih

“…This quantitative research has been analyzed, including sample adequacy tests, construct validity and reliability, the goodness of fit, model suitability to polytomous data, assumption tests (unidimensional, invariance, local independence), characteristic curve graphs, information function graphs, and standard error graphs. …”
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A Novel Evolutionary Deep Learning Approach for PM_2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran by Mehrdad Kaveh, Mohammad Saadi Mesgari, Masoud Kaveh

“…This paper employs a binary OA method for sensitivity analysis, optimizing feature selection by minimizing prediction error while retaining critical predictors through a penalty-based objective function. …”
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Experimental Research and Numerical Analysis on Fire Resistance of Prefabricated Concrete Composite Beams by LIU Yanchun, SUN Shuqi, LIU Caiwei, WANG Pengfei, LU Xiuliang, MAO Jiayuan, MIAO Jijun

“…A finite element model considering the effect of cracks was developed using ABAQUS finite element analysis software. The simulation was conducted using sequential thermal coupling, and temperature rise curves were plotted using the measured furnace temperature data. …”
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PREDIKSI HARGA EMAS MENGGUNAKAN METODE AVERAGE BASED FUZZY TIME SERIES by Yusmet Rizal, Suci Ramadhani

“…The analysis results show that the developed forecasting model has good accuracy, measured by the Mean Absolute Percentage Error (MAPE), which shows a low error rate. …”
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Predictive analysis of Somalia’s economic indicators using advanced machine learning models by Bashir Mohamed Osman, Abdillahi Mohamoud Sheikh Muse

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A Deep Neural Network-Based Approach for Sentiment Analysis of Movie Reviews by Kifayat Ullah, Anwar Rashad, Muzammil Khan, Yazeed Ghadi, Hanan Aljuaid, Zubair Nawaz

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Optimizing enzyme inhibition analysis: precise estimation with a single inhibitor concentration by Hyeong Jun Jang, Yun Min Song, Jang Su Jeon, Hwi-yeol Yun, Sang Kyum Kim, Jae Kyoung Kim

“…Abstract Enzyme inhibition analysis is essential in drug development and food processing, necessitating precise estimation of inhibition constants. …”
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<i>Dita.te</i>—A Dictation Assessment Instrument with Automatic Analysis by Daniela Saraiva, Ana Margarida Ramalho, Ana Rita Valente, Cláudia Rocha, Marisa Lousada

“…The present study aims to assess the reliability of the <i>Dita.te</i> (internal consistency and inter-rater reliability), a written assessment test based on a dictation task with automatic spreadsheet analysis, and establish normative data for text dictation tasks for children from 3rd to 6th grade. …”
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Optimization of Water Distribution Based on Head loss Analysis Using EPANET Software by Desy Fitria Wulandari, Agus Subekti, Agung Tjahjo Nugroho

“…This study aims to analyze head loss in irrigation networks using the Darcy-Weisbach equation and compare the results with simulations conducted using EPANET software. The analysis involved manual calculations based on field discharge data and network simulations replicated in EPANET. …”
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Confirmatory factor analysis of an identity questionnaire Among autistic adolescents and young adults by Liron Lamash, Sonya Meyer

“…The CFA demonstrated a good fit between the theoretical model and data, χ²(242) = 257.12, p  = .241, comparative-fit index [CFI] = .98, goodness-of-fit index [GFI] = .84, root-mean-square error of approximation [RMSEA] = .02, standardized root-mean-square residual [SRMR] = .09. …”
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