Empirical model for estimating the surface roughness of machined components under various cutting speed by JO Osarenmwinda

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Peak to average power ratio reduction techniques based on chirp selection for single and multi‐user orthogonal chirp division multiplexing system by Vincent Savaux

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A novel model for accurate and fast prediction of cancer incidence by Mahmoud Hamed, Berlanty A. Zayed, Fotouh R. Mansour

“…In most states, the percentage error did not exceed 6%. The high degree of similarity between the actual and predicted cancer incidence rates was notable. …”
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Empirical model for estimating the surface roughness of machined components under various cutting speed by JO Osarenmwinda

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Neural Network Technologies in Predicting the Operating Status of Agricultural Enterprises by Aleksandr V. Grachev

“…The neural network showed reliable results for a small data set. The root mean square error of was 0.1216; the mean modulus deviation was 0.0911. …”
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Dynamics simulation of timing chain drive system for diesel engine by XU Jiangcheng, FENG Zengming, XING Jianheng, LIAO Hangzhou

“…The RecurDyn-based multibody dynamics simulation methodology for diesel engine timing chain system presented in this paper provides an effective and reliable research approach for dynamic characteristic analysis and performance evaluation of timing chain drive system.…”
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Between uncertainty and opportunity: Companies in times of Covid-19 in Veracruz and Oaxaca, Mexico by Humberto García Jiménez, Elena Moreno García, Álvaro Bracamonte Sierra

“…The sample of 154 and 178 companies has statistical validity with a confidence level of 95% and a margin of error of 7.88% and 6%, in phase 1 and 2, respectively.  …”
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Full-surface geometric analysis of DMLS-manufactured stainless steel parts after post-processing treatments by Valentin Szabó, Zoltan Weltsch

“…The results highlight the critical role of thermal management and post-processing in ensuring the dimensional accuracy of DMLS parts. The research demonstrates the advantages of full-surface, high-precision optical metrology in the detailed analysis of shape changes occurring during additive manufacturing, with the maximum permissible error of the measuring system limited to 0.01 mm in our measurements.…”
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Characterisation and modelling of the flow behaviour of a medium manganese steel for hot forming by Althaus Philipp, Rana Radhakanta, Wester Hendrik, Uhe Johanna, Behrens Bernd-Arno

“…For an efficient process design of such components, the finite element simulation is an effective tool to identify a suitable process window and minimise experimental trial-and-error tests. However, a realistic modelling of the material behaviour is essential for reliable simulation results. …”
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A Coupled Torsional-Transition Nonlinear Vibration and Dynamic Model of a Two-Stage Helical Gearbox Reducer for Electric Vehicles by Abdulhameed M. Y. Al-Tayari, Siyu Chen, Zhou Sun

“…The model consists of 16 degrees of freedom (DOF), which includes factors such as the nonlinearity of backlash, time-varying mesh stiffness (TVMS), mesh damping, supporting bearings, static transmission error (STE), and the torsional damping and stiffness of the intermediate shaft, in which the fourth-order Runge–Kutta numerical integration method was applied to solve the differential equations. …”
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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…The prediction of entrance and exit passenger flow of rail transit stations is one of key research focuses in the area of intelligent transportation. …”
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Orthographic processing of proper Names: A proposal to investigate the orthographic cue for second language readers by Kimberly Klassen

“…A proposed method to investigate the initial capital letter as a cue for L2 English proper name recognition is a name decision task, a variation on a lexical decision task, using English proper names and common nouns that are familiar to Japanese participants. Reaction times and error percentages to proper names with case type as a factor (i.e., initial capital letter or all lowercase) will be submitted to a linear mixed effects analysis. …”
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Price Behavior and Market Integration in European Union Electricity Markets: A VECM Analysis by Cristian Valeriu Stanciu, Narcis Eduard Mitu

“…This study examines the integration and price behavior of European Union electricity markets using a Vector Error Correction Model (VECM). Employing daily wholesale day-ahead electricity prices from 24 EU countries spanning October 2017 to September 2024, the research identifies seven regional clusters of markets based on similarities in price trends. …”
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Response Surface Method for Strength Analysis and Proportion Optimization of New Type Sealing Materials by Sheng Xue, Xin Guo, Chunshan Zheng, Yaobin Li, Xiaoliang Zheng

“…Under the optimal condition of 0.4% water reducing agent, 0.04% retarder, 0.8 water-cement ratio, and 8% expansion agent, the compressive strength of the sealing material cured for 3 d and 7 d is 39.247 MPa and 41.044 MPa, with the maximum absolute error of 1.71% and 2.81%, which proves the high accuracy of the model. …”
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WORLD OIL PRICE FORECAST ON BASIS OF EXPERT NON-NUMERIC KNOWLEDGE by Yu. A. Nazarova

“…As the weighting coefficients we have taken the degree of compliance of analysts’ forecasts for 2013 to reality calculated based on the error variance.The result of the study is to determine the probabilities of each of the alternative outcomes and to identify the most likely range of prices for Brent crude oil for 2015. …”
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Determining the coordinates of the earthquake hypocenter with the simultaneous determination of seismic wave velocities by Yu. A. Sidorkina, T. G. Aslanov

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Efficient AI-Driven Query Optimization in Large-Scale Databases: A Reinforcement Learning and Graph-Based Approach by Najla Sassi, Wassim Jaziri

“…Based on TPC-H (1 TB) and IMDB (500 GB) workloads, GRQO runs 25% faster in query execution time, scales 30% better, reduces CPU and memory use by 20–25%, and reduces the cardinality estimation error by 47% compared to traditional cost-based optimizers and machine learning-based optimizers. …”
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A Multi-Mode Dynamic Fusion Mach Number Prediction Framework by Luping Zhao, Weihao Li, Wentao Xu

“…Experimental results demonstrate that the multi-mode dynamic fusion framework reduces the Root Mean Square Error (RMSE) by 70.57%, 56.4%, and 63.64% compared to Support Vector Regression (SVR), PLS, and Long Short-term Memory (LSTM) networks across six operating conditions. …”
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Evaluating the Usability of a Book Stock and Sales Recording Android App: System Usability Scale (SUS), Heuristic Evaluation, and Maze Tool Insights by Abdul Rezha Efrat Najaf, Reisa Permatasari, Ciptagusti Sila Sakti

“…Publishers still use Google Sheets as the primary tool for recording available book stock. However, human error, such as writing or data entry, often leads to inaccurate book stock information. …”
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Teaching methods through the eyes of Bulgarian students from three generations by Dragomir Iliev, Daniela Ilieva, Zhelyo Zhelev

“…With a population size of 37,403 students, the respondents formed a sample size of 662 respondents, achieving a confidence level of 99.056% and a margin of error of 3.78%. The results are presented using two-dimensional distributions in the form of cross-tabulations. …”
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