An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

“…Results Our findings indicate that shallow feature extraction based on the time-domain analysis, combined with feature selection using a metaheuristic optimization algorithm, outperformed other ECG feature extraction and selection techniques. …”
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Optimizing weed and sucker control in hazelnut orchards with tiafenacil by Joshua W. A. Miranda, Marcelo L. Moretti

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Experimental Investigation of Laser Parameters Dependence of Surface Graphitization in Nanosecond Laser Ablation of  Nanocrystalline Diamond by Huixin Yuan, Chunyu Zhang, Chengwei Song, Zhibing He, Guo Li, Leyao Li

“…The effects of the laser scanning speed, power, defocus level, and scanning interval on the graphitization extent and morphological characteristics were systematically investigated, identifying the single-factor optimal parameter set for maximizing graphitization. …”
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Application of Heuristic Methods for Polymer Synthesis Process Optimization by Eldar Miftakhov, Svetlana Mustafina, Andrey Akimov

“…A numerical algorithm has been developed for solving the problem of finding optimal conditions for the synthesis of polymers using heuristic optimization methods, and its effectiveness has been evaluated in the investigation of the copolymerization process of butadiene with styrene, proceeding via a free-radical mechanism. …”
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SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

“…Here comes the necessity of using such methods of optimization that allow to find a near optimal solution in acceptable amount of time with the minimum waste of computer power. …”
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Firefly Optimized Resource Control and Routing Stability in MANET by Purushothaman Chandra Sekar, Pichaimuthu Rajasekar, Sundaram Suresh Kumar, Mittaplayam Arunchalam Manivasagam, Chellappan Swarnamma Subash Kumar

“…This, in turn, helps in finding the resource-optimized mobile nodes and choosing the route path for sending the DP to the destination. …”
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Do jumps matter in discrete-time portfolio optimization? by Marcos Escobar-Anel, Ben Spies, Rudi Zagst

“…This paper studies a discrete-time portfolio optimization problem, wherein the underlying risky asset follows a Lévy GARCH model. …”
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Drug Release Analysis and Optimization for Drug-Eluting Stents by Hongxia Li, Yihao Zhang, Bao Zhu, Jinying Wu, Xicheng Wang

“…Kriging surrogate model is used to build an approximate function relationship between the drug distribution and the coating parameters, replacing the expensive FEM reanalysis of drug release for DES in the optimization process. …”
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Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes by Jiankun Ge, Sen Wang, Xuewen Gong, Yuhao Zhu, Zihui Yu, Yanbin Li

“…The improved P-M model demonstrated high predictive accuracy, underestimating transpiration by 2.15 % for T1 and overestimating by 6.26 % for T2. These findings provide a robust framework for optimizing greenhouse ventilation strategies, enabling precise modeling of crop water consumption and enhancing resource utilization in facility agriculture.…”
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Optimization of Interval Type-2 Fuzzy Logic System By using A New Hybrid Method of Whale Optimization algorithm and Extreme Learning Machine by Mohammed Qasim Ibrahim, Nazar Khalaf Hussein Al-Dikhil

“…Because Meta-heuristic algorithms have a high capacity in the practical field, so we used one of the modern algorithms in this field, which is the Whale Optimization algorithm (WOA). We are used the (WOA) algorithm together with the Extreme Learning Machine (ELM) algorithm as a hybrid algorithm to find the best parameters ​​for the IT2FLS. …”
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Research on the impact of borehole parameters on the instability and precursor characteristics of large diameter borehole in coal seam by Caijun Shao, Guangjian Liu, Jincheng Zhou, Heng Zhang, Weiyong Lu, Yudong Xu, Junqi Wei

“…The research findings enhance the understanding of the pressure relief process in large-diameter boreholes and provide a scientific basis for parameter selection and optimization in large-diameter borehole operations.…”
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Study on the influence of key structural parameters of turbine heat shields on the thermal load of bearing shell by Chao Ma, Guangqian Zhu, Zhanhao Chen, Shanshan Guo

“…These findings underscore the importance of geometric optimization in thermal shield design, offering actionable strategies to enhance component durability under extreme thermal loads.…”
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Exploring the Relationship Between the Acute:Chronic Workload Ratio and Running Parameters in Elite Football Athletes by Salvatore Pinelli, Mauro Mandorino, Silvia Fantozzi, Mathieu Lacome

“…Coaches and practitioners can utilize these insights to tailor training programs, integrating load monitoring with tactical considerations to optimize athlete performance. Understanding the nuanced interplay between workload ratios and biomechanical parameters provides valuable insights for performance optimization for elite football athletes.…”
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Monitoring water quality parameters using multi-source data-driven machine learning models by Yubo Zhao, Mo Chen, Jinyu He, Yanping Ma

“…Additionally, the SHAP method was employed to quantitatively analyze the contribution of environmental factors and spectral bands to the model inversion. Therefore, the findings confirmed the importance of environmental variables in water quality inversion and provided a theoretical basis for the optimization and application of future water quality monitoring systems.…”
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ENHANCEMENT OF ARTIFICIAL IMMUNE SYSTEMS FOR THE TRAVELING SALESMAN PROBLEM THROUGH HYBRIDIZATION WITH NEIGHBORHOOD IMPROVEMENT AND PARAMETER FINE-TUNING by Peeraya THAPATSUWAN, Warattapop THAPATSUWAN, Chaichana KULWORATIT

“…The hybrid and fine-tuned version of AIS (AIS-th) consistently provided the best solution quality, with up to a 50.36% improvement, though it required more computational time. These findings emphasize the importance of strategic combinations and fine-tuning for creating effective optimization algorithms. …”
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The Influence of Temperature on Rheological Parameters and Energy Efficiency of Digestate in a Fermenter of an Agricultural Biogas Plant by Maciej Filip Gruszczyński, Tomasz Kałuża, Wojciech Czekała, Paweł Zawadzki, Jakub Mazurkiewicz, Radosław Matz, Maciej Pawlak, Paweł Jarzembowski, Farokh Sahraei Nezhad, Jacek Dach

“…By contributing a model for rheological behavior under realistic bioreactor conditions, this study supports the optimization of energy use in biogas production. These findings emphasize that temperature adjustments within bioreactors could serve as a reliable control strategy to maintain optimal production conditions while minimizing operational costs.…”
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A new strategy for designing Nb-based H2-selective alloys based on physical-chemical parameter matching rules by Erhu Yan, Lizhen Tao, Kexiang Zhang, Hongfei Chen, Guanzhong Huang, Jinwang Bai, Yinghao Li, Kangxing Liao, Yongjin Zou, Huanzhi Zhang, Lixian Sun

“…The significance of this study lies in introducing a new strategy for screening and exploring H2-selective alloys to find the optimal combination of elements that provide better predictions for performance.…”
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Construction and application of two intrinsic models for Ti-Al composite plates considering current parameters by Tao Huang, Yihan Zhai, Binghui Xing, Chaomin Zhang, Nan Xiang, Kexing Song, Wenjing Zhang, Lei Shi

“…The construction of an intrinsic model is important for the analysis and optimization of the deformation process. This study, therefore, has presented an intrinsic model for the heterogeneous layers of Ti–Al composite plates, incorporating temperature and current parameters. …”
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Enhancing cognitive abilities through transcutaneous auricular vagus nerve stimulation: Findings from prefrontal functional connectivity analysis and virtual brain simulation by Sora An, Se Jin Oh, Shinhee Noh, Sang Beom Jun, Jee Eun Sung

“…Therefore, the development of personalized optimization strategies for taVNS intervention is crucial, and digital brain research holds significant promise in advancing this field.…”
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Understanding the impact of modifiable areal unit problem on urban vitality and its built environment factors by Haojian Deng, Kai Liu, Jiali Feng

“…This study takes the Pearl River Delta Core (PRDC) region as the research area. It used the Optimal Parameters-based Geographic Detector (OPGD) model and spatial autocorrelation to analyze the impact of the MAUP on urban vitality and its Built Environment (BE) factors. …”
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