A Hybrid Deep Transfer Learning Framework for Delamination Identification in Composite Laminates by Muhammad Haris Yazdani, Muhammad Muzammil Azad, Salman Khalid, Heung Soo Kim

“…Compared to the existing transfer learning approaches, the suggested method achieved better performance, hence improving both the accuracy and robustness of delamination detection in composite structures.…”
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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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Multidisciplinary Design Optimization of the NASA Metallic and Composite Common Research Model Wingbox: Addressing Static Strength, Stiffness, Aeroelastic, and Manufacturing Constr... by Odeh Dababneh, Timoleon Kipouros, James F. Whidborne

“…This study explores the multidisciplinary design optimization (MDO) of the NASA Common Research Model (CRM) wingbox, utilizing both metallic and composite materials while addressing various constraints, including static strength, stiffness, aeroelasticity, and manufacturing considerations. …”
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Modeling and analysis of micro processes by Xu Bin, Zhou Yang, He Shufen, Hong Canmei, Zhou Zhixun

“…Experimental results show that the proposed method can model microprocesses and detect the deadlocks caused by synchronous or asynchronous interaction errors of the composite micro processes.…”
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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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Determination of Composition and Amount of Different Feeds to Produce Animal Products to Use in Agricultural Policy Studies in Iran by Seyed Majid Alimagham, Afshin Soltani, Behrouz Dastar, Taghi Ghoorchi

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Calculation of Shear-Bearing Capacity of Aluminum Alloy-Concrete Composite Beam by Chenghua Li, Ziliang Lu

“…An improved shear capacity formula was derived based on the tension–compression bar model and the superposition method. The proposed formula achieved an average ratio of 1.018 to finite element results, with a standard deviation of 0.151, and the proposed formula was validated against 22 FEA models, demonstrating excellent agreement with numerical results and confirming its reliability for practical engineering applications. …”
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Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change by Robson Mateus Freitas Silveira, Angela Maria de Vasconcelos, Concepta McManus, Luiz Paulo Fávero, Iran José Oliveira da Silva

“…In this study, we develop a systematic methodology with multivariate models and machine learning algorithms to (i) model complex patterns of relationships or multi-phenotypic differences between the thermal environment and thermoregulatory, hormonal, biochemical, hematological and productive responses; and (ii) identify potential associations among biological relationships that may underlie shared and specific phenotypic patterns of adaptive responses. …”
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Crashworthiness and optimization for foam-filled multi-layer composite lattice structures by Jiye Chen, Wangwang He, Hai Fang, Yong Zhuang, Zhixiong Zhang, Yufeng Zhao

“…Foam materials have been widely used to fill composite lattice structures to improve energy absorption and mechanical properties. …”
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Machine learning methods for predicting human-adaptive influenza A virus reassortment based on intersegment constraint by Dan-Dan Zeng, Dan-Dan Zeng, Yu-Rong Cai, Sen Zhang, Fang Yan, Tao Jiang, Jing Li

“…IntroductionIt is not clear about mechanisms underlining the inter-segment reassortment of Influenza A viruses (IAVs).We analyzed the viral nucleotide composition (NC) in coding sequences,examined the intersegment NC correlation, and predicted the IAV reassortment using machine learning (ML) approaches based on viral NC features.MethodsUnsupervised ML methods were used to examine the NC difference between human-adapted and zoonotic IAVs. …”
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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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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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Study on Flexural Capacity of UHPC-NC Composite Slab with Reinforced Truss in the Normal Section by Xin Wang, Ruochen Wang, Zhiyu Zhu, Kun Wang

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Fuzzy Comprehensive Evaluation of Aging State of Silicone Rubber Sheds of Composite Insulators by Sihua WANG, Long CHEN, Junjun WANG, Lei ZHAO

“…Aiming at the aging problem of silicone rubber composite insulators with long-term outdoor operation, a composite insulator condition assessment method is proposed based on fuzzy comprehensive evaluation. …”
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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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Predict Unmatching Compositions for Compositional Zero-Shot Learning by Soohyeong Kim, Yong Suk Choi

“…Absence Modeling aims to predict unmatching compositions, allowing the model to learn irrelevant information between attributes and objects, thereby improving its ability to capture interdependencies. …”
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Raman spectroscopy for determination of compositions in liquid–liquid dispersions by Alexandra Weber-Bernard, Jörn Viell

“…Three alternative quantification methods are compared: peak integration, indirect hard modeling, and partial least-squares regression. …”
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MATHEMATICAL MODELING OF THE PROCESS OF SYNTHETIC SILUMINS PRODUCTION USING THE METHOD OF REGRESSION ANALYSIS by I. V. Rafalskij, A. V. Arabej

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An innovative approach to plastic mulch film modeling based on the discrete element method by Zhengyang Zhu, Binghui Li, Zige Xu, Yi Xie, Xinhua Zhu

“…This study proposed an innovative discrete element model construction method for the plastic mulch film based on triangular elements. …”
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