Application of Deep Learning Techniques in Uranium Microparticle Fission Track Detection by ZHAO Xiong, REN Fangda, SHEN Yan

“…After cooling, the samples were transferred to a microscope to obtain the original images of uranium microparticle fission tracks. The YOLOv5 algorithm, a deep learning approach, was employed as the foundational network model. …”
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Optimal Design Parameters for Supercritical Steam Power Plants by Victor-Eduard Cenușă, Ioana Opriș

“…Schemes with eight and nine preheaters have an average optimum value of 0.178 ± 0.021 and 0.220 ± 0.011, respectively. …”
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Hydrogen Enhancement in Syngas Through Biomass Steam Gasification: Assessment with Machine Learning Models by Yunye Shi, Diego Mauricio Yepes Maya, Electo Silva Lora, Albert Ratner

“…The results show that random forest (RF) models excel in predicting syngas composition and its lower heating value (LHV), achieving high precision with training and testing RMSE values below 0.2 and R-squared values close to 1. …”
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Monitoring method⁃based guided wave for hole-edge crack in key attachment structure of helicopter by WANG Huaji, SHI Liming, DAI Yushan, QIU Lei

“…Subsequently, a damage alarm threshold was established using a mean-value method to facilitate damage detection. Furthermore, an improved delay-and-sum imaging algorithm was developed based on the specific configuration of the attachment lug structure to optimize probability distribution and achieve precise crack localization. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Fine-grained factor mining used the K-means clustering algorithm to capture more detailed semantic topic-level edge factors from graph textual data. …”
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Prediction of cardiovascular diseases based on GBDT+LR by Zengxiao Chi, Li Liu, Liqin Yi, Lin Shi

“…The experimental results show that GBDT+LR outperforms other models in multiple evaluation indicators such as accuracy, precision, specificity, F1 value, MCC, AUC, and AUPR. The cardiovascular disease prediction model using the GBDT+LR algorithm has the best prediction performance. …”
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Optimisation of Criminal Data Clustering Model using Information Gain by Prih Diantono Abda’u, Ratih Hafsarah Maharrani, Muhammad Nur Faiz, Oman Somantri

“…The results indicate that the K-Means algorithm outperforms the other two methods, achieving the best clustering quality with an optimal number of clusters (k = 6) and the lowest DBI value.…”
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Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods by Haixiong Li, Fei Wang

“…In addition, a Convolutional Neural Network (CNN) regression model was constructed and optimized with the Northern Goshawk Optimization (NGO) algorithm, resulting in a more precise CNN-NGO prediction model. …”
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Monitoring method⁃based guided wave for hole-edge crack in key connection structure of helicopter by WANG Huaji, SHI Liming, DAI Yushan, QIU Lei

“…Subsequently, a damage alarm threshold was established using a mean-value method to facilitate damage detection. Furthermore, an improved delay-and-sum imaging algorithm was developed based on the specific configuration of the attachment lug structure to optimize probability distribution and achieve precise crack localization. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Fine-grained factor mining used the K-means clustering algorithm to capture more detailed semantic topic-level edge factors from graph textual data. …”
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Audit of disclosure in lease notes according to IFRS by O.V.

“…Вип. 1 (51) Проблеми теорії та методології бухгалтерського обліку, контролю і аналізу 8 assess the number and value of leased assets, analyze liabilities, etc. …”
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The analysis of entrepreneurship evaluation system for talent cultivation in artistic creativity and animation under artificial intelligence by Hao Xie, Zijian Zhao

“…Addressing the strong subjectivity and lack of quantitative indicators in traditional artistic creativity evaluation methods, this work constructs an artistic creativity innovation evaluation model based on the Backpropagation Neural Network (BPNN) integrated with the Style-Based Generative Adversarial Network (StyleGAN) algorithm. …”
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A Fast Learning Method for Multilayer Perceptrons in Automatic Speech Recognition Systems by Chenghao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su

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Basic principles of construction of high-quality analytical adaptable control systems for thermal energy processes by G. Т. Kulakou, A. Т. Kulakou

“…The advantages of structural-parametric optimization methods for creating high-quality control systems for heat-and-power processes have been substantiated. The following algorithm for forming a block diagram of a high-quality invariant cascade SAR is proposed. …”
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MACRPO: Multi-agent cooperative recurrent policy optimization by Eshagh Kargar, Ville Kyrki

“…The results show superior performance against other algorithms. The code is available online at https://github.com/kargarisaac/macrpo.…”
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Application of business analysis tools in company management by A. Yu. Orlova, A. A. Sorokin, D. G. Lovyannikov

“…We have developed an algorithm for the implementation of a business intelligence system and for this purpose built models in the EPC AS-IS and TO-BE notation. …”
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Analysis of programs for calculation of the system characteristics of ultra-wide range receiving paths by D. V. Arkhipenkov

“…The program developed by the author of the article hasan editable element base, which simplifies and accelerates the calculation of the device. The algorithm of theprogram developed by the author is described, and the calculation of the system characteristics of the path for comparison with foreign analogues is given.…”
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Research on intelligent video recognition method for roof water inrush signs in coal mines by Huiqing LIAN, Jia KANG, Shangxian YIN, Bin XU, Guocheng YAN, Xiangxue XIA, Baotong XU

“…The results demonstrate that compared with the OTSU algorithm, the self-supervised recognition algorithm based on SAM-XMem exhibits superior performance in terms of intersection over union (IoU), precision (P), recall (R), and F1 score, with evaluation metrics exceeding 90%, which represents 20% improvement over the recognition rate of conventional algorithms. …”
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A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters by Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun

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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

“…Feature importance analysis demonstrated the value of the enhanced map composition, and applying the LandTrendr algorithm simplified the diachronic land use and land cover (LULC) classification and change analysis by supporting automatic training data collection. …”
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