Wear evaluation method of drilling shaft sinking hob based on rock slag morphology and rock abrasiveness by Hua CHENG, Bao XIE, Zhishu YAO, Chuanxin RONG, Jian LIN

“…Compared with the field measurement, the prediction success rate of the model is 90.9%; The proposed evaluation method of hob wear can provide a useful reference for the decision-making of lifting and changing tools on the spot.…”
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Shear bond characteristics of steel concrete composite deck slab by Preetha Vellaichamy, Senthilkumar Veerasamy, Vasudevan Mangottiri

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Assessment of RBFs Based Meshfree Method for the Vibration Response of FGM Rectangular Plate Using HSDT Model by Manish Srivastava, Jeeoot Singh

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Artificial Intelligence Method for Predicting Mechanical Properties of Sand/Glass Reinforced Polymer: a New Model by Mahmood Heshmati, Sajad Hayati, Saeed Javanmiri, Mohammad Javadian

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Modeling Asphaltene Precipitation-Part II: Comparative Study for Asphaltene Precipitation Curve Prediction Methods by Ali A. Ali, Ghassan H. Abdul-Majeed

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Investigation of process parameter influence on the mechanical properties of FDM-printed PEEK-carbon fiber composites using RSM and Taguchi methods by Muhammad Nasir Bashir, Joon Sang Lee, Mohammed A. Bou-Rabee, Heba G. Mohamed, Ding Zhou, Irfan Anjum Badruddin, M.A. Fazal, Zafar Masood

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Improving the Performance of the Sandwich Panel with the Corrugated Core Filled with Metal Foam: Mathematical and Numerical Methods by Mohammad Nouri Damghani, Arash Mohammadzadeh Gonabadi

“…A new type of composite structure with a metal foam is reinforced by the metal corrugated core, called metal-foam-filled sandwich panel with a corrugated or V-frame core, is modelled, simulated, and studied in this article. …”
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Novel Methods for Surface EMG Analysis and Exploration Based on Multi-Modal Gaussian Mixture Models. by Anna Magdalena Vögele, Rebeka R Zsoldos, Björn Krüger, Theresia Licka

“…Hereby we show the applicability of the method to identify composite peak models, which describe activation of different muscles throughout cycles of locomotion.…”
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A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

“…Recent innovations have introduced data-driven approaches that predict system behavior without the need for detailed models. By integrating advanced monitoring technologies and machine learning, these methods enable real-time predictions within controllable parameters using live data. …”
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Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure by Guangxuan Song, Dongmei Fu, Yongjie Lin, Lingwei Ma, Dawei Zhang

“…Abstract The prediction of corrosion resistance in High-entropy alloys (HEAs) faces challenges due to previous machine learning methods not fully capturing the interdependencies between composition, processing, and crystal structure. …”
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Preparation and performance of hydroxyapatite-graphene oxide composite microspheres by YUAN Qiuhua, SHI Xin, WU Wenshan, DAI Xiaoyi, ZHONG Junxi, YANG Yuan, JIAN Youliang, LI Ruilong, WANG Tao

“…Firstly, spherical calcium carbonate-graphene oxide (CaCO3-GO) composites were synthesized by hard template method. …”
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Composition and Injection Rate Co-Optimization Method of Supercritical Multicomponent Thermal Fluid Used for Offshore Heavy Oil Thermal Recovery by Shenyao Yang, Zhilin Qi, Jie Tian, Mingda Dong, Wei Zhang, Wende Yan

“…The results show the following: (1) The higher the mass concentration of organic matter, the higher the content of supercritical carbon dioxide and supercritical nitrogen in thermal fluids, and the lower the content of supercritical water. (2) The higher the temperature and pressure, the higher the thermal fluid yield, and the higher the organic mass concentration, the lower the thermal fluid yield. (3) The component fitting model conforms to the power function relationship, and the coefficient of determination R² is greater than 0.9; the yield fitting model conforms to the modified inverse linear logarithmic function relationship, the determination coefficient R² is greater than 0.8, and the fitting degree is high. (4) The ratio between the actual injection rate of thermal fluids in the mine field and the molecular simulated thermal fluid yield is the ratio of organic matter mass in the platform thermal fluid generator and organic matter mass in the simulated box. (5) Based on the composition and yield control model, combined with the simulation of the ratio relationship between yield and injection rate in the field, a collaborative optimization method of thermal fluid composition and injection rate was established. …”
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DAMAGE DETECTION OF COMPOSITE PLATE BASED ON LOCAL DEFECT RESONANCE INTER-MODULATION EFFECT by CHEN WenJian, QU WenZhong, XIAO Li

“…Experiment of a carbon fiber composite plate with impact damage was carried out to verify the results of theoretical model analysis and the feasibility of the damage local resonance internal modulation method applying to nonlinear damage detection. …”
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IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing by Li-Nan Zhu, Peng-Hang Li, Xiao-Long Zhou

“…Cloud manufacturing (CMfg) is a new service-oriented smart manufacturing paradigm, and it provides a new product development model in which users are enabled to configure, select, and utilize customized manufacturing service on-demand. …”
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Prediction of the composition of prolonged release tablets based on 4,4'-(propandiamido) sodium dibenzoate using the SeDeM method by Ju. M. Kotsur, Ju. M. Ladytko, I. A. Narkevich, E. V. Flisyuk

“…Prediction of the compositions of matrix tablets based on sodium 4,4'-(propanediamido)dibenzoate with prolonged release, obtained by direct compression using the method of mathematical modeling SeDeM.Materials and methods. …”
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Multi-objective optimization of dual-stator permanent magnet motor based on composite algorithm by Xiaoguang Kong, Zhuo Yang

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Comparative analysis of hardware and software of the monitoring method of fun ctioning electromechanical DC converters by N. A. Malev, A. I. Mukhametshin, O. V. Pogoditsky, P. V. Chichkov

“…These sets allow obtaining mathematical models of electromechanical DC converters necessary for the implementation of the monitoring method of the function ing. …”
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Study on Vibration Characteristics of Functionally Graded Material Composite Spherical Piezoelectric Transducer by Sha Wang, Junjie Shan

“…The correctness of the theoretical model is verified using the finite element method and experiment. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…This work advances agricultural price forecasting by bridging theoretical Bayesian methods with practical trading applications, offering policymakers and market participants a robust tool for hedging and supply chain optimization.…”
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HS–GC–MS Method for the Diagnosis of IBD Dynamics in a Model of DSS-Induced Colitis by Olga Shagaleeva, Daria Kashatnikova, Dmitry Kardonsky, Boris Efimov, Viktor Ivanov, Svetlana Smirnova, Yana Zorkina, Elizaveta Vorobjeva, Artemiy Silantiev, Viktoriia Kazakova, Irina Kolesnikova, Maria Markelova, Anna Vanyushkina, Andrei Chaplin, Tatiana Grigoryeva, Natalya Zakharzhevskaya

“…The disease activity index (DAI) and histological method were employed to assess intestinal inflammation. …”
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