ANALYZING UNCONTROLLABLE FACTORS THAT CAUSE DEFECTIVE PRODUCTS BY POISSON AND NEGATIVE BINOMIAL INAR(1) FOR FITTING MODEL by Herry Kartika Gandhi, Ispány Márton

“…This research is based on data of break occurrences in 3 paper machines. The best model for machine 1 is NBINAR(1), while for machine 2 and 3 is PINAR(1). …”
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Automating the Curation of DNA Barcode Databases for Vascular Plants by Andreas Kolter, Paul Hebert

“…ABSTRACT Comprehensive, curated, and current DNA barcode reference databases are essential for both the identification of single specimens and for the interpretation of metabarcoding data. In the case of plants, nuclear (ITS) and plastid (rbcL, matK) markers are commonly used together. …”
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MULTI-OBJECTIVE OPTIMIZATION DESIGN OF ROADHEADER’S CUTTING HEAD BASED ON THE GA by ZHAO LiJuan, FAN JiaYi

“…In order to improve the dynamic reliability of the roadheader,the roadheader’s rigid-flexible coupled model was established based on virtual prototyp,dynamic reliability analysis was done on the rotary table of different structural parameters,evaluation function was established based on mechanical optimization design theory,the function’s design variables was half cone angle,helix Angle and cutting line spacing, the function’s objective function was the minimization of maximum equivalent stress as the objective function.The cutting head’s optimal structural parameters was obtained by genetic algorithm.Based on the cutting productivity and rotary table equivalent stress, the optimal yawing speed was obtained by optimized multi-objective.The results shows that after two optimizations,rotary table maximum stress is decreased 18.495 MPa,the fatigue life is improved from 3.067 E4 to 3.326 E6,productivity is improved 18.6 t/h,prediction error is less than 1.3%,meet the design requirement.This method provides data support for the structure and kinematic parameters of cutting head,provides a new method for the optimization design of heavy complicated mechanical equipment.…”
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A Novel Capacitance Estimation Method of Modular Multilevel Converters for Motor Drives Using Recurrent Neural Networks with Long Short-Term Memory by Mehdi Syed Musadiq, Dong-Myung Lee

“…The results demonstrate significant improvements in estimation accuracy, validated through mean squared error (MSE) metrics and comparative analysis of actual versus estimated capacitance. …”
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Maintenance Time Prediction for Predictive Maintenance of Ship Engines by Seunghun Lim, Jungmo Oh, Jinkyu Park

“…Researchers are attempting to equip ships with predictive maintenance technology, which is used proactively in other modes of transportation to predict the maintenance time of machines through data monitoring and analysis. However, due to the nature of ship operation, data collection is difficult, and most studies focus on fault detection, hindering the application of predictive maintenance to ships. …”
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Oil Futures Dynamics and Energy Transition: Evidence from Macroeconomic and Energy Market Linkages by Xiaomei Yuan, Fang-Rong Ren, Tao-Feng Wu

“…This study investigates the macroeconomic and energy market determinants of oil futures prices through Granger causality, cointegration analysis, and the error correction model, using daily data. …”
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Value Added Tax and Economic Development: Focus on Human Capital Development by Kuyebi Favour Orejesuoluwapo, Omodero Cordelia Onyinyechi

“…The collected data is then analyzed using the Johansen Co-integration, Vector Error Correction Model, and Vector Autoregressive analysis technique. …”
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EFFECTS OF MACRO-ECONOMIC VARIABLES ON FISHERIES SUPPLY IN NIGERIA (1980-2019) by Ahmed Olugbenga BUSARI, Abolupe Oluyemi AYANBOYE

“…Food and Agricultural Organization database (FAOSTAT) Nigeria Bureau of Statistics (NBS) and Central Bank of Nigeria (CBN) Data were analyzed using mean, percentages coefficient of variation, Augmented Dickey-Fuller statistics, Johansen Co-integration and vector error correction model (VECM) result of statistical analysis revealed that variable of the model was stationary after first difference with co-integration among the variable Descriptive results shows the fluctuation in the agriculture capture fisheries and total fisheries supply over the study period with a mean of 88,890.48 tonnes, 453,278.80 tonnes and 547,043.50 tonnes respectively average annual growth rate of agriculture capture fishery and total fishery production were 502.42 percent, 187.98 percent, and 298.59 percent respectively. …”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…Inclusion criteria focused on studies published between 2020 and 2024 that addressed RPA applications in education. Data analysis was conducted using thematic synthesis to identify key trends across the selected studies.…”
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Analytical Approach to Enhancing Efficiency of Silt Loading Collection in EPA Vacuum Sweep Method Using K-Means Clustering by Ho-jun Yoo, In-tai Kim

“…The comparison of clustered versus non-clustered sections across 15 pavement segments showed an error rate of approximately 6%. Properly selecting sampling points ensures more accurate dust concentration data, which is crucial for effective road maintenance and environmental management. …”
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HOUSEHOLD DEBT AND INTEREST RATES: A CASE STUDY OF SOUTH AFRICA by Kgomotso Molefe, Ashley Mutezo

“…A quantitative approach was followed by econometric analysis of the data. The study employed the autoregressive distributive lag and vector error correction model to analyse the time-series data for the period from 1990 to 2019. …”
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Study of the Criteria for Using Structural Criteria and the Framework of Construction Materials in Virtual Social Networks (Study Sample: IRNA, ISNA, Anatoly and Reuters News Conte... by Alireza Abdollahinejad, mohammad zamanirad

“…The present study has used the method of quantitative content analysis for written textual data. 800 tweets ending September 1, 2020 (September 11, 1999) means 3200 tweets in total. …”
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Application of Sentinel-2A Images for Land Cover Classification Using NDVI in Jember Regency by Rufiani Nadzirah, Mochammad Kevin Rizqon, Indarto Indarto

“…The classification in this study encompassed five classes: water bodies, settlements, dry fields, irrigated paddy fields, and forests. Error analysis was conducted using a confusion matrix with the Overall and Kappa algorithms. …”
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Crack propagation simulation of fiber-reinforced composite laminates based on non-ordinary state-based peridynamics by Ji Zhou, Songrong Qian

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CONDITIONS OF HARVEST FORMATION AND EFFICIENCY OF OATS VARIETY ‘KONKUR’ CULTIVATION DEPENDING ON AGRO TECHNOLOGIES IN FOREST STEPPE OF POVOLZHIE by V. G. Vlasov, L. G. Zakharova

“…The paper substantiates appropriateness of research, based on the analysis of data in literature. The meteorological data obtained during the years of research are given. …”
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The Impact of Coaching Management on Sustainable Performance in Red Crescent Organization of Sistan and Baluchistan Province by Mohammad Ghasemi, Zahra Omidvar, Fariba Sharifi arjmand

“…The sampling method was stratified random sampling and the sample size of 318 was determined using Cochran's sampling formula with 95% confidence level and 5% error. The data collection tools included standard questionnaires. …”
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Shape Preserving Interpolation Using C2 Rational Cubic Spline by Samsul Ariffin Abdul Karim, Kong Voon Pang

“…From all presented numerical results the new C2 rational cubic spline gives very smooth interpolating curves compared to some established rational cubic schemes. An error analysis when the function to be interpolated is ft∈C3t0,tn is also investigated in detail.…”
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Design and Construction of IoT-Based Overvoltage and Undervoltage Detection Devices by Luki Septya Mahendra, Putu Agus Mahadi Putra, Agus Dinantya Dwi Kurniawan, Hendik Eko Hadi Suharyanto, Lucky Pradigta Setiya Raharja, Yahya Chusna Arif

“…Monitoring data can be accessed via gadgets. So that preventive actions and analysis can be carried out to reduce the risk of losses due to voltage disturbances.…”
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BINARY OPTION PRICING USING LATTICE METHOD by Donny Citra Lesmana, Natallia Christina, Ravy Ardian Kusuma, Siti Salwa Nabila

“…However, limitations include model assumptions and potential data variability that may affect generalizability. …”
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Effect of bin width on variogram model accuracy: a case study of teak tree volume specific to Solomon clone in Tawau, Sabah, Malaysia by Johannah Jamalul Kiram, Rossita Mohamad Yunus, Yani Japarudin, Mahadir Lapammu, Olivier Monteuuis, Doreen Kim Soh Goh

“…These models were plotted for comparison, and the root mean square error (RMSE) was calculated. Additionally, cross-validation was performed to assess the predictive accuracy of each model for the unseen data. …”
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