Improved Cosine Similarity-based Artificial Bee Colony Optimization scheme for reactive and dynamic service composition by N. Arunachalam, A. Amuthan

“…Improved Cosine Similarity-based Artificial Bee Colony Optimization Scheme for Web Service Composition (ICS-ABCO-WSC) is proposed for integrating the characteristics of QoS and transactional features for determining optimal candidate service solution from the workflow modeled graph generated during reactive service composition. …”
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Optimization of polyphenols extraction by deep eutectic solvent from broccoli stem and characterization of their composition and antioxidative effects by Bingqing Wang, Peiyun Chen, Huien Zhang, Yanlei Chen, Liqing Chen

“…To efficiently extract polyphenols from broccoli stems, we herein describe an updated deep eutectic solvent extraction (DESE) method. Response surface modeling was utilized for optimization of the DESE method, achieving the best yield of 5.10 ± 0.04 mg polyphenols/g broccoli stem powder under the following conditions: solvent, choline chloride-urea (molar ratio 1:3); extraction temperature, 80 °C; extraction duration, 55 min; water content, 60%; and liquid-solid ratio, 41:1 mL/g. …”
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“Goldilocks day”: identifying the optimal awake movement behaviour composition for predicted cardiometabolic health outcomes in youth by Joey Murphy, Charlotte Lund Rasmussen, Javier Brazo-Sayavera, Ademola Victor Damilola, Nastja Podrekar Loredan, Aoko Oluwayomi, Luís Bettencourt Sardinha, Niels Wedderkopp, Elaine Murtagh

“…These were regressed against the awake movement behaviour composition, adjusting for relevant covariates to estimate the optimal awake movement behaviour composition for each predicted cardiometabolic health outcome (i.e. …”
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MANUFACTURE OF MODIFIED ARBOLIT FROM LOCAL RAW MATERIALS: OPTIMIZATION OF COMPOSITION AND PROPERTIES OF RAW MATERIAL COMPONENTS by A. K. Matyeva

“…The author carries optimization of the rational composition and properties of modified arbolite from plant-gypsum composition (PGC). …”
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Optimizing Microbial Composition in Soil Macroaggregates Enhances Nitrogen Supply Through Long-Term Straw Return by Lei Xu, Ganghua Li

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Advanced AI approaches for the modeling and optimization of microgrid energy systems by Mohammed Amine Hoummadi, Badre Bossoufi, Mohammed Karim, Ahmed Althobaiti, Thamer A. H. Alghamdi, Mohammed Alenezi

“…Three AI techniques, Genetic Algorithm (GA), Artificial Bee Colony (ABC), and Ant Colony Optimization (ACO), are employed to optimize the optimal composition of energy sources based on solar energy and wind energy, battery storage, and load profiles. …”
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Image Classification to Identify Style Composition Ratios in Crossover Cars by Hung-Hsiang Wang, Hung-Jui Su

“…We employed WEKA to extract image features and train a classification model using the edge histogram filter and sequential minimal optimization (SMO) classifier, which achieved an 86% classification accuracy. …”
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Planning and optimization models in ready-made concrete production and logistics by Mykhailo Buhaievskyi, Yuri Petrenko

“…As a result, several optimization models have been developed. These include a supply chain planning model, a sales network development model, and a coordination model for managing decisions across multiple plants. …”
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Inverse mapping of properties to composition through generative modeling for designing molten salts by Julian Barra, Rajni Chahal, Shubhojit Banerjee, Massimiliano Lupo Pasini, Stephan Irle, Stephen Lam

“…Abstract Generative modeling (GM) has been increasingly used for the inverse design and optimization of materials, yet its application to molten salt mixtures remains unexplored despite how a successful approach to the inverse design of molten salts would contribute to efficiently exploiting their customizability and unlocking their advantages in applications, such as energy production and energy storage. …”
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Modeling and Analysis of Automotive Engine Crankshaft Made of Composite and Functionally Graded Materials by Saeed Asiri

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Fractional differential quadrature method for modeling composite halide perovskite solar cells by Ehab M. Almetwally, Ola Ragb, Mohamed Salah, Mokhtar Mohamed

“…These results provide valuable insights for optimizing the design and fabrication of high-performance composite halide perovskite solar cells and demonstrate the potential of the FDQ method as a powerful tool for device modeling and optimization.…”
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Modeling and Optimization of Carbon Dioxide Absorption in Deep Eutectic Solvent by Hiba K. Nasif, Ahmed Daham Wiheeb

“…This research focuses on the modeling and optimization of CO2 capture from flue gas by deep eutectic solvent (DES) synthesized from choline chloride/monoethanolamine (ChCl/MEA) using statistical design of experiments (DoE). …”
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Optimization and modeling of the stale bread drying with three different dryers by Samaneh Heirani, Kamyar Movagharnejad, Sara Nanvakenari

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Modeling the shape correction of a thin-walled composite reflector of a spacecraft by E. V. Moskvichev

“…For each of these models a series of optimizations were performed by the Nelder-Mead method. …”
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Optimization Design and Experimental Analysis of Resistance-Reducing Anti-Fracture Rotary Blade Based on DEM Techniques by Xiaochuan Zhao, Zhikai Ma, Jianguo Zhao, Jianchang Li, Jiale Zhao, Binhao Dai, Meilin An, Jiaping Wang, Jianjun Hao

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Application of ANN in the Performance Evaluation of Composite Recycled Mortar by Shichao Zhao, Yaohua Liu, Geng Xu, Hao Zhang, Feng Liu, Binglei Wang

“…To promote the large-scale utilization of construction and industrial solid waste in engineering, this study focuses on developing accurate prediction and optimization methods for the unconfined compressive strength (UCS) of composite recycled mortar. …”
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Harnessing machine learning approach for hardness optimization of Al-Si alloy composites reinforced with coconut shell ash by M Poornesh, Shreeranga Bhat, Mithun Kanchan

“…The optimal settings were then experimentally verified to assess the model’s reliability. …”
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Optimizing base fluid composition for PEMFC cooling: A machine learning approach to balance thermal and rheological performance by Praveen Kumar Kanti, Prashantha Kumar H. G, Nejla Mahjoub Said, V. Vicki Wanatasanappan, Prabhu Paramasivam, Leliso Hobicho Dabelo

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A Bi-Level Programming-Based Method for Service Composition Optimization of Collaborative Manufacturing of Sewing Machine Cases by Gan Shi, Shanhui Liu, Keqiang Shi, Langze Zhu, Zhenjie Gao, Jiayue Zhang

“…We also introduce the idea of bi-level programming, construct the optimization model of manufacturing service composition of sewing machine cases based on bi-level planning, analyze the characteristics of NSGA-Ⅱ (Non-dominated Sorting Genetic Algorithm II) algorithm and the improvement strategy, and complete the solution of the optimization model of manufacturing service composition of sewing machine cases. …”
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Failure analysis and size optimization of CFRP composite single-lap bonded joints based on the influence of multiple parameters by Kang Yang, Ziyi Liu, Xin Qi, Pengyang Li, Shude Ji, Peng Liu, Zhipeng Liu

“…Abstract This paper had conducted tensile shear tests on single-lap joints (SLJs)bonded structures of carbon fiber reinforced resin matrix (CFRP) composite laminates with different overlap lengths, overlap widths, overlap model, adherend material, and adhesive layer thicknesses under two environments: room temperature dry state (RTD) and elevated temperature wet state (ETW). …”
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