Experimental study and optimizing the effective parameters on the extraction of the anti-cancer substance naringin under ultrasound waves by Mojtaba Nosrati, Neda Gilani, Hadiseh Masoumi

“…In this research, naringin substance is extracted from orange peel using ethanol solvent by ultrasonic method. Design-Expert (DOE) software was used to determine the optimal parameters including time, pH, and sample-to-solvent ratio while keeping the temperature constant at 40°C. …”
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Maximizing oil recovery in sandstone reservoirs through optimized ASP injection using the super learner algorithm by Dike Fitriansyah Putra, Mohd Zaidi Jaafar, Ku Muhd Na’im Khalif, Apri Siswanto, Ichsan Lukman, Ahmad Kurniawan

“…This approach paves the way for the intelligent optimization of ASP schemes by minimizing the reliance on computationally intensive simulations while ensuring chemical and economic efficiency in marginal or complex reservoirs.…”
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Technological Parameter Optimization of Double-Press Precision Depth-Control Seeding and Its Application in Rice Production by Yangjie Shi, Xingye Shen, Xinhui Cheng, Jintao Xu, Jiawang Hong, Lianjie Han, Xiaobo Xi, Ruihong Zhang

“…To address these issues, a double-press precision depth-control seeding method was developed in this study. Discrete element modeling (DEM) was employed to optimize key operational parameters—compaction force, soil covering cutter rotational speed, and penetration depth—using qualified seeding depth and missed seeding rates as performance metrics. …”
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BBSNet: An Intelligent Grading Method for Pork Freshness Based on Few-Shot Learning by Chao Liu, Jiayu Zhang, Kunjie Chen, Jichao Huang

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Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation by Methq Kadhum Alnoori, Malik Jasim Farhan, Enas F. Rawashdeh

“…For practical setups, an antenna size configuration of M = 8, N = 3 with 85 snapshots can achieve an optimal tradeoff, reducing the computational cost by 35% compared to conventional methods while maintaining high accuracy. …”
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Research on design optimization of oil and gas pipelines leveraging X80 tee and additive manufacturing technology by Ye TIAN

“…Methods This study introduced equal tees made of X80 steel with a diameter of 1 219 mm for the structural design optimization and safety evaluation of oil and gas pipelines, aimed at addressing local stress concentration issues. …”
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Microbiological Assessment of the Different Hand Drying Methods and Washroom Environment Cross-Contamination by Fayza Kouadri

“…This research compared the effectiveness of three different hand drying methods—paper towels, the use of warm air dryers in stationary hands position, and the use of air drying while hand rubbing—and their potential for cross-contamination of other users and the surrounding environment. …”
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Synergistic research on planter performance optimization and green low-carbon agricultural transformation under climate risk by Yan Shi, Pengfei Zhao, Zhengzhao Gu, Ye Li

“…While traditional planting strategies focused on parameters like seed depth, speed, and spacing, they often neglected environmental sustainability and adaptability to climate variability.MethodsTo bridge this gap, we introduced the Adaptive Precision Planter Optimization Model (APPOM), which leveraged real-time environmental sensing, machine learning, and multi-objective optimization to dynamically adjust key planting parameters. …”
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Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The ensemble model is fine-tuned using Bayesian optimization to enhance predictive accuracy, while explainable artificial intelligence (XAI) tools—SHAP, LIME, and ELI5—provide interpretable feature insights, improving transparency in model predictions. …”
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Integrated multi-task feature learning and interactive active optimization for scene retargeting in preschool educational applications by Suhui Yao, Lan Lv

“…Experimental evaluations demonstrate that the proposed model not only surpasses five state-of-the-art methods in performance but also achieves a 3% improvement in accuracy compared to the next-best approach, all while reducing inference time by over 50%. …”
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Practical and cost-effective method for the isolation of pollen grains from various sources by Ozge S. Kuddar, Benjamin J. Callahan, Christopher Bernhardt, Kelly A. Meiklejohn

“…Mock standards, with known concentrations and varied characteristics, when analyzed alongside unknown samples, can provide evaluation, optimization, and validation of scientific methods. Due to the scarcity of commercially available pollen grains, this study introduces a practical and cost-effective method for isolating pollen grains from various sources to be used in a mock pollen standard. …”
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Optimizing transient gas network control for challenging real-world instances using MIP-based heuristics by Hennings, Felix, Hoppmann-Baum, Kai, Zittel, Janina

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Industrial heritage and urban renewal: a quantitative study and optimization strategies for Chengdu East Suburb Memory by Jun Xia, ShaoQing Wang, Ai Cheng

“…However, existing research predominantly focuses on design and conservation, lacking systematic quantitative analysis of user satisfaction, which limits holistic optimization of regeneration outcomes.MethodsThis study employs a mixed-methods approach, integrating Structural Equation Modeling (SEM) and Importance-Performance Analysis (IPA) to quantitatively evaluate user satisfaction. …”
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Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

“…Weighted decision-making tools, including the desirability function and the MARCOS method, refine the selection of optimal solutions. …”
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Mixing temperature optimization and modification mechanism of medical masks modified asphalt: Insights from computational chemistry by Heyang Ding, Hongren Gong, Lin Cong

“…Traditional selection method overly relies on trial-and-error experiment, neglecting the convenience offered by computational chemistry. …”
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Optimization, purification and antioxidant potential of polyphenol ultrasonic-assisted extraction from pecan 'Shaoxing' green husk by Tian Hu, Fei Wang, Zhe Zhao, Kaifeng Hu, Chunhua Zhou

“…The optimization of extraction technology involved both single-factor and response surface methodology, while the purification technology was determined to refine the crude polyphenol extract. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…This hybridization implements Particle Swarm Optimization and a neural network to improve results while slowing convergence and improving efficiency. …”
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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

“…Customizing prior information, enhancing Mixup data, improving LabelSmoothing to enhance generalization ability, and optimizing GIoU position loss and FocalLoss confidence loss are combined with the CBAM(Cost Benefit Analysis Method) module to improve network structure. …”
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A Robust Gaze Estimation Approach via Exploring Relevant Electrooculogram Features and Optimal Electrodes Placements by Zheng Zeng, Linkai Tao, Hangyu Zhu, Yunfeng Zhu, Long Meng, Jiahao Fan, Chen Chen, Wei Chen

“…Among these approaches, electrooculography (EOG)-based gaze estimation, as an economical and effective method, offers a promising solution for practical applications. …”
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A Cloud-Edge-End Collaboration Framework for Fixed-Time Distributed Optimization of Virtual Power Plants by Kai Kang, Nian Shi, Keqi Zhang, Si Cai, Liang Zhang, Xinan Shao, Lei Shu, Renjie Hu, Leimin Wang

“…As the power grid expands, concerns about system computation speed and information privacy are becoming more critical. While distributed optimization methods protect individual privacy effectively, they struggle with computational efficiency in complex topologies. …”
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