Finite element ansysis and ISO calculation standard of tooth root bending strengthern of spiral beval gears by FENG Shaokun, WEI Bingyang, XIN Wen, CHENG Bo

“…The calculation of bending strength for spiral bevel gears is complex, making accurate evaluation extremely challenging. …”
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Enhancing relative humidity modelling using L2 regularization updates by Abdellah Ben Yahia, Iman Kadir, Abdelaziz Abdallaoui, Abdellah El-Hmaidi

“…SOM complements PCA by highlighting data structure nuances and detect complex correlations. L2 regularization, particularly with Lambda = 0.01, effectively reduces data complexity and dispersion, preventing overfitting while enhancing prediction accuracy. …”
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Determining Body Condition of Dairy Cows for Early Diagnosis of Physiological Diseases by D. Yu. Pavkin, S. S. Yurochka, A. A. Polikanova, I. M. Dovlatov

“…(Research purpose) To develop an algorithm for complex operational diagnostics of the physiological state of dairy cows by their live weight and body condition. …”
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Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…The WZ6-1 oil-bearing structure in the Beibu Gulf Basin of the South China Sea has well-developed faults with significant variations in fault sealing capacity, resulting in a complex and highly variable distribution of oil, gas, and water, and limited understanding of hydrocarbon accumulation patterns. …”
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Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China by Xiehui Li, Yuting Liu, Lei Wang

“…Southwest China (SWC) is characterized by complex topography, diverse climate types, and rich vegetation types. …”
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Problems and Prospects for the Application of Neural Networks for the Sphere of Education by T. M. Shamsutdinova

“…Obviously, the practical implementation of complex neural network systems of this level is a very difficult task and can be solved so far only at the level of individual subsystems. …”
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Calculation and Measurement of Dielectric Parameters of Ceramic and Ferroelectric Materials in the Microwave Range by V. S. Severikov, Kong Che Fam, V. I. Melnik

“…Therefore, it is important to determine not only the relative permittivity of the material, but also the control coefficient in the RF– microwave wavelength ranges.Aim. …”
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Simulation Research of Virtual Synchronous Machine Control System with Harmonic Suppression by CHENG Kun, DING Xiying, GONG Jingying, HAN Yan, LI Xiaodong

“…The output of each harmonic droop control is superimposed with the output of fundamental wave domain virtual synchronous machine control to obtain the input of the inverter, stability of the system is analyzed, and droop coefficient that satisfies stable operation of the system is selected. …”
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Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition by Haodong Chi, Huiyuan Chen

“…Effective product functions (PFs) are then selected using the Pearson correlation coefficient, enabling signal reconstruction that suppresses noise interference while preserving fault impact components. …”
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Relationship between Core Stability Muscle Endurance and Static and Dynamic Balance in Basketball Players by farzaneh saki, masumeh Baghban

“…Objective: Balancing is the most basic function of the neuromuscular system in performing all simple and complex activities that contribute to health-related physical fitness. …”
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Clinical and Epidemiological Assessment of the Epidemic Process of COVID-19 in Hostels Depending on the Type of their Planning Device by A. V. Zadoroshnyy, N. Yu. Pshenichnaya, S. V. Ugleva, A. A. Erovichenkov, V. G. Akimkin, V. V. Maleev, D. V. Usenko

“…The contagiousness of the virus in combination with a long course of focal morbidity led to the development of severe forms of COVID-19. The coefficient of occurrence of severe forms of COVID-19 on average in isolated dormitories was equal to 1.1%, while in dormitories of the reported type, the studied coefficient was 11 times higher and averaged 11.6%.Conclusion. …”
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Estudio y modelación del flujo bifásico líquido-gas para bajos valores de Reynolds//Study and modelation for low reynolds value of two phases flow liquid-gas by Annamaris Olmo Velázquez, Margarita de la Victoria Piedra-Díaz, Leorlen Rojas-Mazaira, Melchor Rodríguez-Madrigal, Erich Martínez-Martín

“…<br />_________________________________________________________________________________</p><p><strong>Abstract</strong><br /><br />The study of simultaneous flow of liquid and gas over a conduit is two phases flow combinations more complex that exist. For the study we select fluid (glycerin in solution with water (80 %) and industrial gel) that establish flow models necessary for the investigation the desired systems. …”
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis by Yahia Said, Riadh Ayachi, Mouna Afif, Taoufik Saidani, Saleh T. Alanezi, Oumaima Saidani, Ali Delham Algarni

“…Extensive experiments conducted on publicly available lung segmentation datasets demonstrated superior results, achieving a dice similarity coefficient of 99.17% with only 26% of the parameters required by the baseline UNET3 + model. …”
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Using machine learning to assist decision making in the assessment of mental health patients presenting to emergency departments by Oliver Higgins, Rhonda L. Wilson, Stephan K. Chalup

“…While CatBoost showed strong predictive capabilities, its complexity poses challenges for clinical interpretation. …”
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Development of Cellulosic Paper-Based Test Strips for Mercury(II) Determination in Aqueous Solution by Shoujuan Wang, Zhen Xu, Yongyi Fang, Zhongming Liu, Xin Zhao, Guihua Yang, Fangong Kong

“…The calibration curve was obtained by the absorbency of Hg2+-dithizone complexes from different Hg2+ concentration solutions, and the correlation coefficient (R2) reached 0.9971. …”
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Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits. by Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari

“…The RBF algorithm with highest Coefficient of Determination (R2) value of 0.81 and the lowest Mean Absolute Errors (MAE) and Root Mean Square Error (RMSE) values of 148.61 kg.ha-1, and 185.31 kg.ha-1, respectively, was the most accurate algorithm and, therefore, selected as the metaClassifier for the E-B algorithm. …”
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Prediction models of iron level in beef muscle tissue toward ecological well-being by K. Narozhnykh

“…It contained three predictors, namely, number of erythrocytes, color index, and globulin, as a result of selection based on internal and external-quality criteria. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Regression provided robust results with minimal computational effort, while FFNN required complex tuning without a clear performance advantage. …”
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Analysis of Voice, Speech, and Language Biomarkers of Parkinson’s Disease Collected in a Mixed Reality Setting by Milosz Dudek, Daria Hemmerling, Marta Kaczmarska, Joanna Stepien, Mateusz Daniol, Marek Wodzinski, Magdalena Wojcik-Pedziwiatr

“…Key features such as MFCCs (mel-frequency cepstral coefficients), spectral characteristics, RASTA-filtered auditory spectrum, and local shimmer were identified as significant in detecting PD-related speech alterations. …”
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Sensitive Determination of Hydrochlorothiazide Drug in the Various Samples Via Developed Method of CFIA System by Wasan A. Hanooan, Bushra B. Qassim

“…The detection limit and Limit of quantification values were 2.622 and 7.97. …”
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