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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Nelder-Mead algorithm optimization and Galerkin’s method thermal performance analysis of circular porous fins with various profiles in fully wet conditions by M. r. Talaghat, F. Shafiei

“…The governing equations are solved using the Galerkin method and the finite difference method and the use of the Gauss-Seidel algorithm. …”
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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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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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Enhancing dental model accuracy through optimized vat photopolymerization additive manufacturing parameters by Clément Tien, Camille Jean, Lucas Poupaud, Floriane Laverne, Frédéric Segonds

“…Further research is recommended to determine optimal settings for different resins and more complex dental structures.…”
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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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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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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

“…The antioxidant activities were 4.25 ± 0.17 µg/mL by the ABTS method and 0.739 µg/mL by the FRAP method. The larvicidal activity also showed that the 10% 12 h extract produced 100% larval mortality from 25 µg/mL. …”
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Modeling of Systematic Errors and Precision Optimization Methods for Workpiece Clamping and Alignment System in Aeroengine Gearbox Automated Line Machining by DU Xueming, XIANG Yang, LIU Shun, JIN Sun

“…To mitigate the adverse impact of these new systematic errors on machining accuracy, this paper investigates error modeling and precision optimization methods for the alignment system under uncertainty. …”
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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

“…To address this, we propose an optimized short-term load forecasting method based on time and weather-fused features using a ConvLSTM-3D neural network. …”
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Strategies for Driving the Future of Educational Building Design in Terms of Indoor Thermal Environments: A Comprehensive Review of Methods and Optimization by Shihai Wu, Pengzhi Zhou, Ying Xiong, Chengye Ma, Dizi Wu, Weizhen Lu

“…This comprehensive review critically examines current methodologies and optimization strategies for designing indoor thermal environments in educational buildings amid the challenges of global climate change and energy demands. …”
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Topometry Optimization of Energy Absorbing Structure through Targeting Force-Displacement Method considering Tailor Rolled Blank Process by Shigen Wang, Weigang An, Tianyu Lin, Xu Han

“…The adjacent elements with smaller thickness differences are merged to form TRB subdomains based on the optimization results of forestep, and the TFD method is used again. …”
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Hyperparameter Optimization of ANN, SVM, and KNN Models for Classification of Hazelnuts Images Based on Shell Cracks and Feature Selection Method by H. Bagherpour, F. Fatehi, A. Shojaeian, R. Bagherpour

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Resource Optimization Method Based on Spatio-Temporal Modeling in a Complex Cluster Environment for Electric Vehicle Charging Scenarios by Hongwei Wang, Wei Liu, Chenghui Wang, Kao Guo, Zihao Wang

“…To address this, a novel self-organizing prediction method for spatio-temporal resource allocation is proposed. …”
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Design Optimization and Performance Evaluation of an Automated Pelleted Feed Trough for Sheep Feeding Management by Xinyu Gao, Chuanzhong Xuan, Jianxin Zhao, Yanhua Ma, Tao Zhang, Suhui Liu

“…The optimal slope was found to be 63°, with optimal baffle heights of 28 mm for fine and medium pellets and 30 mm for coarse pellets. …”
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Detection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling by Liu Xiaohua

“…The study proposed a background model constructed by an optimized Gaussian mixture model based on the background subtraction method to eliminate the background interference. …”
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Synergistic effect of carbon emission reduction from regional carbon trading on air pollutant emission reduction by Qiuli Yu, Shengyi Yang

“…The carbon trading policy, as an effective policy to promote carbon reduction, has been accepted and implemented by many countries.MethodThis study employs the twofold difference approach and synthetic control method to evaluate the impact of carbon trading policies on air pollutant emissions.ResultResults showed that implementing carbon trading could lead to an average reduction of 54.13 million tonnes of CO2 annually, alongside decreases of 176.1 thousand tonnes of SO2 and 112.5 thousand tonnes of NOx. …”
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