Quality Evaluation Method for Base Baijiu Based on Support Vector Machine Optimized by Genetic and Bootstrap Aggregating Algorithm by PANG Tingting, ZHANG Guiyu, LIU Kecai, LI Xiaoping, TUO Xianguo, PENG Yingjie, ZENG Xianglin

“…The chemical composition of base baijiu is complex and diverse. A classification model for base baijiu of different sensory grades was established based on the gas chromatography-mass spectrometric (GC-MS) data for their volatile composition. …”
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Modeling of the Penultimate Unit Effect in Chain-Growth Copolymerizations by Fabricio Machado

“…The present work addresses the modeling and simulation of the addition of copolymerizations of styrene and methyl methacrylate in batch mode, and the formation of tailored vinyl acetate/acrylic acid copolymers is evaluated through stochastic optimization procedures based on the Monte Carlo method. …”
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GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks by Olusegun Folorunso, Oluwafolake Ojo, Mutiu Busari, Muftau Adebayo, Joshua Adejumobi, Daniel Folorunso, Femi Ayo, Orobosade Alabi, Olusola Olabanjo

“…The two sets of data were pre-processed and normalized using Python, and an ANN was employed to predict soil properties such as NPK, Organic Carbon, Soil Textural Composition and pH levels through regressive analysis while building a composite model for Soil Texture Classification based on the predicted soil composition. …”
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An Experimental Study of Structural Identification of Bridges Using the Kinetic Energy Optimization Technique and the Direct Matrix Updating Method by Gwanghee Heo, Joonryong Jeon

“…This paper aims to develop an SI (structural identification) technique using the KEOT and the DMUM to decide on optimal location of sensors and to update FE model, respectively, which ultimately contributes to a composition of more effective SHM. …”
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Beta Diversity Patterns and Drivers of Macroinvertebrate Communities in Major Rivers of Ningxia, China by Qiangqiang Yang, Zeyu Wei, Xiaocong Qiu, Zengfeng Zhao

“…The findings demonstrate that the optimal parameter-based geographical detector (OPGD) model identified a 3000 m circular buffer as the spatial scale at which landscape structure most significantly influences water quality. …”
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Exploration on the Optimal Application of Mobile Cloud Computing in Enterprise Financial Management under 5G Network Architecture by Yanlin Guo, Huwei Li

“…Moreover, this paper introduces mobile edge cloud computing, MEC server, into the financial 5G network system model. Taking into account the possible multihop RSU transmission of the calculation result back, this paper expresses the delay composition of the calculation task on the local execution and offloading to the MEC server in the form of a formula and proposes an offloading strategy based on the MEC load status. …”
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Optimization of Anatase TiO₂ Photocatalyst for Diclofenac Degradation by Using Response Surface Methodology by Desalegn Abdissa Akuma, Henrik Lund, Thi Thanh Hoa Duong, Fekadu Fufa, Jennifer Strunk, Norbert Steinfeldt

“…The experimentally determined values for the degradation rate (0.063 min⁻¹) and TOC removal (97%) were in good agreement with the model’s predicted values.…”
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A Method of Sample Models of Program Construction in Terms of Petri Nets by D. I. Kharitonov, E. A. Golenkov, G. V. Tarasov, D. V. Leontyev

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The authentication of Yanchi tan lamb based on lipidomic combined with particle swarm optimization-back propagation neural network by Qi Yang, Dequan Zhang, Chongxin Liu, Le Xu, Shaobo Li, Xiaochun Zheng, Li Chen

“…The established PSO-BP model was able to achieve effective discrimination between Yanchi and non-Yanchi Tan lamb. …”
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A Load Control User Combinatorial Optimization Method Considering Electric Vehicle and Temperature-Controlled Load Clusters by Siwei LI, Zhongping XU, Long YU, Lishi DU, Liang YUE, Xirun ZHANG, Xiaoming WANG

“…And then, a load control influence function is established with consideration of the influence degree of users participating in load control. Finally, the composition of user groups participating in peak load shifting and shedding and the adjustment amount of user load are optimized with the minimum load control influence, minimum network loss and minimum load fluctuation as multi-objectives. …”
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Optimization-Incorporated Deep Learning Strategy to Automate L3 Slice Detection and Abdominal Segmentation in Computed Tomography by Seungheon Chae, Seongwon Chae, Tae Geon Kang, Sung Jin Kim, Ahnryul Choi

“…In this study, we propose an optimization-incorporated strategy that integrates augmentation ratio and class weight adjustment as correction design variables within deep learning models. …”
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EXAMPLE OF FLOW MODELLING CHARACTERISTICS IN DIESEL ENGINE NOZZLE by Dušan KOLARIČ, Marko KOLARIČ

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Petri Nets Modeling of a Flexible Manufacturing System by Balti Ala, Amel Yahyaoui, Mohamed Najah Lakhoua

“…This is why industrial computing is becoming a necessity for manufacturers and even researchers working on innovative and creative subjects.This paper deals with the analysis and the modeling of a flexible manufacturing system. Firstly, the study of the system engineeringthen the composition of the studied system was presented. …”
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Optimization of Eugenol, Camphor, and Terpineol Mixture Using Simplex-Centroid Design for Targeted Inhibition of Key Antidiabetic Enzymes by Amine Elbouzidi, Mohamed Jeddi, Abdellah Baraich, Mohamed Taibi, Mounir Haddou, Naoufal El Hachlafi, Meryem Idrissi Yahyaoui, Reda Bellaouchi, Bouchra El Guerrouj, Khalid Chaabane, Mohamed Addi

“…The desirability score (0.99) confirmed the effectiveness of the optimized blend. Experimental validation of the optimal mixture resulted in IC₅₀ values of 11.02 µg/mL (AAI), 60.85 µg/mL (AGI), 3.75 µg/mL (LIP), and 50.12 µg/mL (ALR), showing less than 10% deviation from predicted values, indicating high model accuracy. …”
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Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak

“…Comparative analysis demonstrated that ANFIS modeling provided better results, with excellent significant improvements in surface morphology and chemical composition, as investigated via FESEM and EDS testing at the optimal settings of machined and unmachined Zn coated brass wire. …”
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Double-Layer Optimal Configuration Method of Hybrid Energy Storage System Based on Chaotic Ant Colony Algorithm by Jing Yuan Liu, Xu Yang, Jin Gang Guo, Da Wang, Hai Zhao, Yue Lan

“…This model predictive control is introduced into a certain system and optimized by model predictive control strategy so that the combination can match the predetermined expectations. …”
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Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase by Virendra Vaishnav, Tanushree Chatterjee, Manisha Agrawal

“…The experiments were performed with several process parameters, including substrate concentration, pH, and temperature. To optimize the best experimental conditions, they were estimated by using a central composite experimental design combined with response surface methodology (RSM). …”
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A hybrid hierarchical health monitoring solution for autonomous detection, localization and quantification of damage in composite wind turbine blades for tinyML applications by Nikhil Holsamudrkar, Shirsendu Sikdar, Akshay Prakash Kalgutkar, Sauvik Banerjee, Rakesh Mishra

“…Early detection through structural health monitoring (SHM) is essential for maintaining the efficient and reliable operation of wind turbines, minimizing downtime and maintenance costs, and optimizing energy output. Further, Damage detection and localization are challenging in curved composites due to their anisotropic nature, edge reflections, and generation of higher harmonics. …”
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Physical characteristics as indicators of performance in young alpine skiers in Super-G by Stojan Puhalj, Blaž Lešnik, Črtomir Matejek, Samo Fošnarič, Tjaša Kmet, Jurij Planinšec

“…The multiple regression model explained 73% of the variance in the boys' performance and 59% in the girls', although the model itself was not statistically significant for predicting performance. …”
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Maximizing Energy Recovery from Waste Tires Through Cement Production Optimization in Togo—A Case Study by Mona-Maria Narra, Essossinam Beguedou, Satyanarayana Narra, Michael Nelles

“…These findings provide a foundation for developing computational models to optimize the mixing ratios of alternative and fossil fuels in cement manufacturing, offering significant environmental, economic, and societal benefits for the cement industry.…”
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