Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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Design of improved JAYA algorithm for cigarette finished product logistics delivery by Jun Wen, Yewei Hu, Le Li, Zongrui Wu, Guangwei Xiao, Kai Guo, Lei Li

“…The study also constructs a logistics delivery path planning model for finished cigarette products based on the enhanced algorithm. …”
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Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm by Xiaohua Yan, Yufeng Li, Fuquan Nie, Rui Li

“…This method integrates both implicit and explicit customer indicators, incorporates weight factors, constructs a distance distribution matrix, and optimizes the process of selecting the neighborhood radius and density threshold parameters. …”
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Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering by Junbin Zhuang, Wenying Chen, Xunan Huang, Yunyi Yan

“…A similarity matrix is then constructed by integrating multi-feature information. …”
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Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm by K. V. Dobrego, I. A. Koznacheev

“…To optimize the parameters of the model, a random search method is used in combination with a genetic selection algorithm. The corresponding model of degradation of parameters for the Delta GEL-12-55 lead-acid battery has been constructed, in which the data on degradation of capacity given in the technical description from the manufacturer are used. …”
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Methodology for Assessing Contractors by the Level of Compliance with the Deadlines for the Fulfillment of Contractual Obligations by T. G. Berezova

“…The following statistical methods were used in the study: descriptive statistics, discriminant analysis, probit regression, construction of integral indexes, typological grouping. …”
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Multiplicative Integral Measure of Evaluating the Energy Security Situation by Fedorchenko S., Fedorchenko G.

“…The algorithm of formation of the integral index includes the use of both additive and multiplicative measures. …”
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Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology by Chunying Wang, Yin Liu

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Providing a framework to optimize the sustainable construction material supply chain with the possibility of horizontal transfers by Hamed Ghamari, Hamidreza Abbasianjahromi, Seyed Mohammad Mirhosseini

“…Additionally, the innovative horizontal transfer mechanism and the insights into algorithmic performance provide valuable contributions to the field, especially for real-world applications in the construction industry.…”
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Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security by Haogang Feng, Yue Wang, Shida Zhong, Tao Yuan, Zhi Quan

“…The paper further explores the model’s performance under the FPPO algorithm with varying numbers of client nodes and different risk preferences, underscoring the importance of these factors in model construction. …”
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Analysis of Comprehensive Artificial Neural Network Computer Media Aided Construction of Economic Forecasting Model by Tianfeng Li

“…Based on this, this paper first analyzes the economic system prediction, then studies the ANN medium model and learning algorithm, and finally verifies the effectiveness of the ANN economic prediction model integrating computer medium.…”
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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

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Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction by Jose Daniel Cuellar Lobo, Zhen Lei, Hexu Liu, Hong Xian Li, SangHyeok Han

“…Meanwhile, the recent advancement of digital design technologies (e.g., building information modelling (BIM)) has enabled flexibility in the design process. The integration of BIM with other analytical algorithms also allows optimization of designs, such as the generative design that can parametrize the design. …”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

“…Then, the Swin Transformer and improved loss functions were integrated into PlaceNet to enhance the feature extraction of construction backgrounds, facilitating object placement accuracy. …”
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Enhancing construction safety management through multivariable grey model analysis and variable selection optimization by Jian Liu, Ye He, Rui Feng, Qinlin Chu

“… In this study, a multivariable grey model (GM(1, N)) is employed to explore how different combinations of variables impact the accuracy of construction accident prediction, using a full permutation algorithm. …”
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Construction Method of a Digital-Twin Simulation System for SCARA Robots Based on Modular Communication by Zihan Zhang, Qihui Guo, Maksim A. Grigorev, Ivan Kholodilin

“…Due to the high cost of robots, the algorithm testing cost for physical robots is high, and the construction of motion control programs is complex, with low operation fault tolerance. …”
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Carbon Emission Prediction of Freeway Construction Phase Based on Back Propagation Neural Network Optimization by Lin Wang, Jiyuan Zhu, Haoran Zhu, Wencong Xu, Zihao Zhao, Xingli Jia

“…By utilizing the grey relational analysis method, we assessed the degree of association between various indicators and carbon emissions, identifying the primary indicators influencing carbon emissions. Furthermore, we integrated multiple strategies to improve the northern goshawk optimization algorithm and optimize the BP neural network, thereby establishing a carbon emission prediction model for the highway construction phase. …”
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SD-YOLOv5: a rapid detection method for personal protective equipment on construction sites by ChunYa Li, ChunYa Li, Jianhua Wang, Jianhua Wang, Bingfeng Luo, Tubing Yin, Baohua Liu, Baohua Liu, Jianfei Lu

“…This paper presents SD (Small object detection and DilateFormer attention mechanism)-YOLOv5s, an improved PPE detection algorithm based on YOLOv5s, designed to enhance the detection accuracy of small objects, such as helmets, in complex construction environments. …”
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SRW-YOLO: A Detection Model for Environmental Risk Factors During the Grid Construction Phase by Yu Zhao, Fei Liu, Qiang He, Fang Liu, Xiaohu Sun, Jiyong Zhang

“…With the rapid advancement of UAV-based remote sensing and image recognition techniques, identifying environmental risk factors from aerial imagery has emerged as a focal point in intelligent inspection during the power transmission and distribution projects construction phase. The uneven spatial distribution of risk factors on construction sites, their weak texture signatures, and the inherently multi-scale nature of UAV imagery pose significant detection challenges. …”
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Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models by Wentao Zhou, Meng Huang, Shuai Liu, Qiao You, Fanxin Meng

“…The path confidence constraint algorithm (PCCA) is used to achieve deep semantic associations of earthquake disaster elements. …”
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