Multistep Brent oil price forecasting with a multi-aspect meta-heuristic optimization and ensemble deep learning model by Mohammed Alruqimi, Luca Di Persio

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Using optimized dimensionality reduction and machine learning to explain driving processes of phytoplankton community assembly in large mountain rivers by Jingxu Ye, Daikui Li, Qi Liu, Jianying Song, Jiawei Song, Zhigang Zu, Yujun Yi

“…Further, factor integration was performed using projection pursuit optimized by PSA, combined with BRT. Based on the dimension-reduced environmental differences, nutrient resources, and zooplankton, a path analysis model was constructed to determine top-down and bottom-up effects on phytoplankton community assembly. …”
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WTSM-SiameseNet: A Wood-Texture-Similarity-Matching Method Based on Siamese Networks by Yizhuo Zhang, Guanlei Wu, Shen Shi, Huiling Yu

“…This allows the model to autonomously select the optimal receptive field, enhancing its flexibility and accuracy when handling wood textures at different scales. …”
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Control method for seamless switching in hydrogen energy and pantograph-catenary parallel power supply system by ZHENG Hengliang, HOU Dazhi, SUN Shijie, LIU Wenquan, JIA Limin

“…The results show the method is effective in stabilizing the DC bus voltage and realizing seamless switching of the hydrogen energy system between the grid-connected/standalone states under different load conditions.…”
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A randomized study on the impact of optimized modified ultrafiltration on the physiological parameters of infants and children undergoing a cardiopulmonary bypass by Jianhong Niu, Guangdi Zhai, Wei Zhang, Juanying Zhou, Shengqi Jiang, Jianping Ma, Aibin Zheng

“…Results In the experimental group, post-ultrafiltration levels of Na+, Ca++, hemoglobin (Hb), and hematocrit (HCT) exhibited a statistically significant increase compared to pre-ultrafiltration levels (p < 0.05), whereas no statistically significant differences were observed in the control group. Conclusion The optimization of conventional MUF led to a significant enhancement in ultrafiltration efficacy, thereby exerting a beneficial impact on improving the physiological parameters of pediatric patients during CPB, surpassing conventional practices.…”
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Optimizing timing for intrauterine insemination (IUI) in donor sperm cycles: pre- versus post-ovulation insemination in natural cycles by Na Zhang, Hanying Zhou

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A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems by Cornelius Rüther, Julia Rieck

“…A Bayesian Optimization (BO) approach is introduced to optimize the GGA’s parameter configuration. …”
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Multi-attribute bottleneck identification method for hybrid flow shops in panel furniture intelligent manufacturing by Xinyi Yue, Xianqing Xiong, Mei Zhang, Xiutong Xu

“…Extensive numerical experiments on 77 benchmarks of different sizes not only validate the effectiveness of the IGA, but also demonstrate that the proposed IGA is more effective in bottleneck identification and converges stably to the optimal schedule. …”
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Optimizing Radiation Dose in High-Resolution Chest CT: The Impact of Patient-Specific Factors and Size-Specific Dose Estimates by Mohamed Abuzaid

“…<b>Background/Objectives:</b> High-resolution chest computed tomography (HRCT) is a critical diagnostic tool, but radiation dose optimization remains a significant concern. Traditional dose metrics such as the volume CT dose index (CTDIvol) and dose-length product (DLP) do not adequately account for patient size variations. …”
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Study on the coupled coordination of water resources consumption and economic development in Heilongjiang province under different scenarios based on SD model by Meiyun Tao, Youzhu Zhao, Qiuxiang Jiang, Zilong Wang, Baohan Li

“…Therefore, Scenario IV is identified as the optimal development scenario for the composite system. …”
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Optimizing Input Feature Sets Using Catch-22 and Personalization for an Accurate and Reliable Estimation of Continuous, Cuffless Blood Pressure by Rajesh S. Kasbekar, Srinivasan Radhakrishnan, Songbai Ji, Anita Goel, Edward A. Clancy

“…Levene’s test for variance found that the personalization method significantly outperformed (<i>p</i> < 0.05) the calibration-free method, but there was no difference between three machine learning methods. …”
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Improved Method of Driving Safety Field Modeling by Considering the Abnormal Transfer of Energy Between Vehicles by Huilan Li, Xunjia Zheng, Xiangyang Xu

“…Compared to previous methods, the proposed DSF modeling method offers higher interpretability and more direct quantification of instantaneous risks. …”
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An Economical Modification Method for MIL-101 to Capture Radioiodine Gaseous: Adsorption Properties and Enhancement Mechanism by Peng Wang, Bing-Bing Qi, Ao-Tian Gu, Kai-Wei Chen, Chun-Hui Gong, Yang Yi

“…The iodine adsorption experiment of etched MIL-101 with different etching time (1 h, 3 h, 4 h, and 6 h) was completed, the results show that the optimal etching time is 4 hours and the capture capacity of the etched MIL-101 is 371 wt%, which is about 22% higher than that of original MIL-101. …”
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A novel similarity-constrained feature selection method for epilepsy detection via EEG signals by Chunlei Shi, Jun Gao, Jian Yu, Lingzhi Zhao, Faxian Jia

“…This approach incorporates cross-validation and constructs locally optimal feature sets to minimize feature dimensionality, enhance model adaptability across different datasets, and enhance stability, thereby increasing the generalization capability of the detection framework. …”
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Virtual Cold Chain Method with Comprehensive Evaluation to Reveal the Effects of Temperature Abuse on Blueberry Quality by Min Fu, Hui Liu, Wenbo Yang, Qiang Zhang, Zhenzhen Lv, Muhammad Nawaz, Zhonggao Jiao, Jiechao Liu

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FEATURES OF NON-MORPHOLOGICAL METHOD OF TERM FORMATION (ON THE MATERIAL OF UKRAINIAN ELECTRIC POWER ENGINEERING TERMINOLOGY) by Liliia V. Kharchuk

“…An important specific feature of the term as a structural and semantic unity is the preservation of its integrity. Different language tools can be used to create a new word and choosing the optimal method of nomination is a complex process determined by objective and subjective moments, external and internal factors. …”
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Classification Modeling Method for Near-Infrared Spectroscopy of Tobacco Based on Multimodal Convolution Neural Networks by Lei Zhang, Xiangqian Ding, Ruichun Hou

“…Finally, the influences of different network structure parameters on model identification performance are studied, and the optimal CNN models are selected and compared. …”
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Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

“…To expand the model’s applicable range, a data fusion strategy was applied in different machine learning methods. The effectiveness of data fusion is demonstrated by comparative analysis between single-dataset and fused-dataset models. …”
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Error control method using crossed axes strategy in the five-axis thread milling process by Jinjie Jia, Wenyuan Song, Mingcong Huang, Ye Zhang, Xinman Yuan, Xicheng Zhang, Dan Tang, Tingyu Zhang, Zhao Xue, Yan Jiang

“…In this paper, an error control method based on a crossed axes strategy for five-axis thread milling is proposed. …”
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Method for Identifying Heat Flux of Temperature-Sensitive Paint under High-Temperature Gas Radiation by Guangsen JIA, Xin JIN, Dapeng YAO, Nong CHEN

“…The global optimal heat flux identification method based on gradient change can effectively eliminate the influence of high-temperature gas radiation, and the difference between the measurement results of temperature-sensitive paint and the thermocouple measurement results is less than 20% in the non-disturbing area of the plate and the peak heat flux area of the wedge.…”
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