A COMPARATIVE STUDY OF THE APPLICATION OF DIFFERENT TCD IN CRANKSHAFT FATIGUE PROPERTY PREDICTION by SUN SongSong, WAN MaoSong, XU XiaoMei

“…The results show that for the modified indirect defined theory of critical distance（ ITCD）,the predictions based on both the line method and point method are almost unanimity and may contain some errors. While for the direct defined theory of critical distance（ DTCD）,the critical line approach has a much better accuracy than the critical point approach,so this approach is much more suitable to be taken into the actual engineering application.…”
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Application of artificial intelligence for quantifying Plasmodium berghei in blood samples of infected mice by Noha Talal Zelai

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Application of DE-RF and Fuzzy Model in Camber Control of Hot Rolled Strip by WEI Zhipeng, CUI Guimei, PI Lixiang, LI Tianhao

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Machine Learning Applications for Predicting High-Cost Claims Using Insurance Data by Esmeralda Brati, Alma Braimllari, Ardit Gjeçi

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On the Convergence of a Kurchatov-Type Method for Solving Nonlinear Equations and Its Applications by Ioannis K. Argyros, Stepan Shakhno, Halyna Yarmola

“…Both in the local case and in the semi-local case, the error estimates, the radii of the region of convergence, and the regions of the solution’s uniqueness are determined. …”
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Development of a novel extension of Rayleigh distribution with application to COVID-19 data by Danish Qayoom, Aafaq A. Rather, Ohud A. Alqasem, Zahoor Ahmad, M. Nagy, Abdirashid M. Yousuf, A. H. Mansi, Eslam Hussam, Ahmed M. Gemeay

“…We thoroughly investigate the statistical properties of the proposed model and derive key reliability measures to demonstrate its applicability in reliability analysis. To ensure precise parameter estimation, various estimation methods are evaluated, and their effectiveness is assessed through a detailed simulation study using bias, mean squared error, and mean relative error as performance criteria. …”
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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang

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Applicability of machine learning models for drought prediction using SPI in Kalahandi, Odisha by AMIT PRASAD, R.K. SINGH, K V RAMANA RAO, C. K. SAXENA

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Improved FraSegNet-Based Rock Nodule Identification Method and Application by Yanbo Zhang, Guanghan Zhang, Qun Li, Xulong Yao, Hao Zhou

“…This small error proves the model works well. FraSegNet offers accurate segmentation and precise geometric parameter extraction, making it a valuable tool for advancing rock stability analysis and practical applications in rock mechanics.…”
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TAX CONTROL AND TAX AUDIT: PROBLEMS AND PRACTICE OF APPLICATION AT ENTERPRISES IN MODERN CONDITIONS by Butenko I.V., Seikimbayeva B. K.

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Design and application of multiple model predictive control in stroke control of hydrostatic transmission by Hakan Ülker

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Unscented Particle Smoother and Its Application to Transfer Alignment of Airborne Distributed POS by Xiaolin Gong, Xiaorui Zheng, Xing-Gang Yan, Zhaoxing Lu

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A NEW MULTIAXIAL FATIGUE LIFE PREDICTION MODEL AND ITS APPLICATION (MT) by REN Zhong, QIN XianRong, ZHANG Qing, SUN YuanTao, LIU Yuan

“…Using uniaxial fatigue life calculation formula to predict their life will produce large errors. However, the existing multiaxial fatigue life prediction models are not convenient for engineering applications because it contains a large number of material constants. …”
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Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

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Notes on the Practical Application of Nested Sampling: MultiNest, (Non)convergence, and Rectification by Alexander Dittmann

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Potential applications and challenges of generative artificial intelligence in traditional Chinese medicine education by LI Zhiqiang, WANG Xuefeng, CAO Feng, WANG Yanding, FEI Yutong, LIU Jianping

“…It is worth exploring whether GenAI can be applied to TCM education to complement and enhance its educational development, and how to address concerns regarding errors, biases, and privacy during the practical application of GenAI in education. …”
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Application of Multivariable Analysis and FTIR-ATR Spectroscopy to the Prediction of Properties in Campeche Honey by Francisco Anguebes, Lucio Pat, Bassam Ali, Armando Guerrero, Atl V. Córdova, Mohamed Abatal, José P. Garduza

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Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction by Chao Wang, Ruogu Wang, Yuhan Lin, Jiafei Zhang, Xiaofei Xie, Zidan Zhao, Yunlin Xu

“…At the same time, on the basis of the previous data processing, the fuzzy set classification method is used to build the model, and the learning model is more close to different types of well production, which enhances the applicability of the model in the field practice. Compared with traditional support vector machine, BP neural network, KNN and naive Bayes, the improved support vector machine has a higher prediction accuracy, and the average error is only 2.7%. …”
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Efficient Positivity-Preserving NSFD Scheme: Application to Advection-Diffusion-Reaction Equation by Reza Shokri Jahandizi, Mohammad Mehdizadeh Khalsaraei, Ali Shokri, Ali Khani

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Research progress on the application of near-infrared spectroscopy in liquid food quality testing by Wenliang Qi, Qingqing Jiang, Erihemu

“…The finite variable model construction reduces the random errors and improves the accuracy of the prediction results. …”
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