Selection of Prediction Method of Basic Statistical Work Parameters of N.V. Sklifosovsky Research Institute for Emergency Medicine of the Moscow Healthcare Department by B. L. Kurilin, V. Y. Kisselevskaya-Babinina, N. A. Karasyov, I. V. Kisselevskaya-Babinina, E. V. Kislukhkina, V. A. Vasilyev

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Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods by Rad Stanev, Tanyo Tanev, Venizelos Efthymiou, Chrysanthos Charalambous

“…This research presents a methodology and realization of a set of 11 BESS models based on different machine learning methods. The performance of the proposed models is tested using real-life BESS data, after which a comparative evaluation is presented. …”
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Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization by JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

“…The simulation results show that the proposed method outperforms other classical methods providing good cleaning results for data sets with different abnormal degrees in different running states. …”
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EN 1785:2003 method for the identification of ionizing treatment in poultry meat products: optimization of the accelerated solvent extraction procedure by Maria Campaniello, Rosalia Zianni, Andrea Chiappinelli, Annalisa Mentana, Valeria Nardelli

“…The qualitative confirmation method was tested on different processed poultry meats, i.e., sausages and hamburgers, irradiated at different dose levels, that is, 0.5, 1.0, and 3.0 kGy. …”
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Dynamic Analysis of Beams with Interval Parameters by Venkata Rama Rao Mallela, Jagannadha Rao Kodukula

“…The resulting interval equations are solved using search and direct methods. Further, direct optimization approach is used to compute the bounds of displacement. …”
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A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory by Chaonong Xu, Chi Zhang, Yongjun Xu, Zhiguang Wang

“…Further, the above two methods can be combined in different sequences or used recursively to solve more complex optimization problems. …”
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Fault Diagnosis Method for Vacuum Contactor Based on Time-Frequency Graph Optimization Technique and ShuffleNetV2 by Haiying Li, Qinyang Wang, Jiancheng Song

“…The objective is to solve the problem of low diagnostic performance efficiency caused by the inadequate feature extraction capability and the redundant pixels in the graph background. The proposed method is based on the time-frequency graph optimization technique and ShuffleNetV2 network. …”
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A method of CCN centralized control cache decision based on SDN by Hua QU, Yansong LI, Jun LIU, Jihong ZHAO, Ya GUO

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A method of CCN centralized control cache decision based on SDN by Hua QU, Yansong LI, Jun LIU, Jihong ZHAO, Ya GUO

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Research on the Optimization Method of Visual Sensor Calibration Combining Convex Lens Imaging with the Bionic Algorithm of Wolf Pack Predation by Qingdong Wu, Jijun Miao, Zhaohui Liu, Jiaxiu Chang

“…To improve the accuracy of camera calibration, a novel optimization method is proposed in this paper, which combines convex lens imaging with the bionic algorithm of Wolf Pack Predation (CLI-WPP). …”
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Conflict evidence combination rule based on multi-dimensional weighted evidence optimization method and its applications in pattern recognition by Fuhai Xi, Mengli Mei, Shi Yang, Hang Guo, Min Yu

“…Subsequently, the multi-dimensional weighted evidence optimization method is employed to calculate the relative importance of each piece of evidence. …”
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Optimization Effects of Load Reduction for Earth Pressure on High-Filled Cut-and-Cover Tunnels Using the Discrete Element Method by Bentian Yu, Junying Xia, Sheng Li, Liangliang Zhao

“…To this end, using the discrete element method (DEM), three load reduction measures were introduced to evaluate HFCCT: the cross section types of HFCCT; the combination of optimized cross section type with load reduction using expanded polystyrene (EPS); and the combination of optimized cross section type with load reduction using the EPS and concrete wedge (CW). …”
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Process of Solving Multi-Response Optimization Problems Using a Novel Data Envelopment Analysis Variant-Taguchi Method by Narong Wichapa, Narathip Pawaree, Pariwat Nasawat, Prawach Chourwong, Anucha Sriburum, Wanrop Khanthirat

“…Future studies are expected to apply the method to different materials and processes, expand experimental designs, and assess the economic and environmental impacts of optimized parameters. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…To address these issues, this study proposed an improved lightweight YOLO11n network and an optimized region tracking-counting method, which estimates the quantity of tomatoes at different maturity stages. …”
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ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…Transit times were obtained via automatic peak fitting, enabling the quantitative calculation of CO2 flow in different spaces of the complex string structure. To validate the algorithm’s accuracy, comparative analysis was conducted between the ACO-NM hybrid optimization and the traditional least squares method. …”
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²¹⁰Po and ²¹⁰Pb content in the certain types of foodstuffs. Optimization of the analytical method by M. V. Kaduka, L. N. Basalaeva, T. A. Bekyasheva, S. A. Ivanov, N. V. Salazkina, V. V. Stupina, A. N. Kaduka

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Optimization and Standardization of the Extraction Method of <i>Balanites aegyptiaca</i> Del. Seeds (Zygophyllaceae) Used in the Formulation of an Antiparasitic Phytomedicine by Mohamed Bonewendé Belemlilga, Salfo Ouedraogo, Gilchrist Abdoul Laurent Boly, Do Harouna Dao, Jonas Tiami Coulibaly, Jean Claude Romaric Pingdwindé Ouedraogo, Souleymane Compaoré, Sidiki Traore, Moumouni Koala, Estelle Noëla Hoho Youl, Lazare Belemnaba, Félix Bondo Kini, Aristide Traore, Séni Kouanda, Sylvin Ouedraogo

“…<b>Methods:</b> Aqueous maceration was carried out with mass-to-volume ratios of 40%, 30%, 20%, 10% and 5% and extraction times of 6, 12, 24, 36 and 48 h. …”
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Study on the parameters optimization and the microstructure of spot welding joints of 304 stainless steel by Liu Hui, Yu Lei, Wang Dayu

“…Orthogonal test and analysis method were used to carry out the experiments and optimize process parameters based on their effects on tensile shear load and nugget diameter of the spot-welded joint. …”
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An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network by Xiaofeng Yang, Shousheng Zhao, Kangyi Li, Wenjin Chen, Si Zhang, Jingwei Chen

“…Traditional forecasting methods often overlook key factors such as holiday load variations and differences in user electricity consumption behavior, resulting in reduced accuracy. …”
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