MONITORING AND CONTROL ALGORITHMS FOR PRODUCT POSITIONING STRATEGY: INSIGHTS FROM BULGARIA’S BANKING SECTOR by Tzvetelina Borisova

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Ultra-Low-Cost Radar Cross Section Measurement and Validation Method Using a 3D-Printed Scale Model in a Non-Anechoic Chamber Environment by Cheongmin Lee, Youngjae Yu, Yeong-Hoon Noh, Ilyoung Oh, Jungje Ha, Jong-Gwan Yook

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Bayesian network structure learning by dynamic programming algorithm based on node block sequence constraints by Chuchao He, Ruohai Di, Bo Li, Evgeny Neretin

“…The proposed algorithm constrains the traversal process of the parent graph by using the M‐sequence matrix to considerably reduce the time consumption and space complexity by pruning the traversal process of the order graph using the node block sequence. …”
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Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation by Rashad Saeed, Azhar Rauf, Fahmi H. Quradaa, Syed Muhammad Asim

“…As a consequence, a number of algorithms have been proposed to mine correlated HUIs. …”
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eFC-Evolving Fuzzy Classifier with Incremental Clustering Algorithm Based on Samples Mean Value by Emmanuel Tavares, Gray Farias Moita, Alisson Marques Silva

“…Starting its knowledge base from scratch, the eFC structure evolves based on a clustering algorithm that can add, merge, delete, or update clusters (= rules) simultaneously while providing class predictions. …”
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A reasoning algorithm with the original relations of the 3D basic rectangular cardinal direction relation by Miao Wang, Hao Tang, Tianxu Wang, Yujun Chen, Weiguang Liu

“…The algorithm searches and prunes the solution space with the help of a queue, enabling automated reasoning and computation of the original relations of 3D rectangular cardinal direction relations under the direction relation matrix model. …”
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Association Analysis of Benzo[<i>a</i>]pyrene Concentration Using an Association Rule Algorithm by Minyi Wang, Takayuki Kameda

“…The efficiency and reliability of the traditional Apriori algorithm were enhanced by restructuring its candidate itemset generation process, specifically by (1) generating C₂ exclusively from frequent itemset L₁ to avoid redundant database scans and (2) implementing the iterative pruning of nonfrequent subsets during L_k → C_k+1 transitions, adding the lift parameter, and eliminating invalid rules. …”
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An Auto-Adjusting Algorithm to Enhance Indoor Localization Accuracy: A Real-Time Experimental Analysis by Othman A. Alfahad, Husham Saied, Emad Malaekah, Ahmed Al Rashdi, Mohammed Emam, Mohsen Bakouri

“…In this study, our aim is to develop an auto-adjusting algorithm to select coefficients based on the current automatically Received Signal Strength Indicator (RSSI) class. …”
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High-Precision Two-Dimensional Angular Sensor Based on Talbot Effect by Liuxing Song, Xiaoyong Wang, Jinping He, Guoliang Tian, Kailun Zhao

“…We introduce a novel method leveraging the Talbot effect, enhanced by 3D printing technology, to fabricate a grating prototype for high-precision angular measurements. …”
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Impact of an improved random forest-based financial management model on the effectiveness of corporate sustainability decisions by Jianhui Zhang

“…In order to improve the generalization ability of financial management models, pruning methods were adopted in the study to avoid overfitting. …”
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Comparison of elastic properties of periodic and aperiodic porous structures produced by additive methods by Radosław Grabiec, Jacek Tarasiuk, Sebasatian Wroński, Gianpaolo Pillon

“… The aim of this work was to design, print, and examine elastic properties of porous structures with various parameters and beam distributions. …”
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Smooth Optimised A*-Guided DWA for Mobile Robot Path Planning by Liling Cao, Lei Tang, Shouqi Cao, Qing Sun, Guofeng Zhou

“…To address these issues, a smoothing optimised A*-guided DWA fusion algorithm (SOA-DWA) is proposed in this paper. Firstly, the A* algorithm was improved by introducing a path smoothing strategy and path pruning mechanism, generating a globally optimal path that complied with the vehicle kinematic constraints. …”
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Efficient network attack path optimization method based on prior knowledge-based PPO algorithm by Qiuxiang Li, Jianping Wu

“…Through this approach, the action space is effectively pruned, thereby enhancing the performance and efficiency of the algorithm in large-scale, complex network scenarios. …”
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A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection by Qingqing Li, Tianshu Wu, Tingfa Xu, Jianmei Lei, Jiu Liu

“…With the expansion of large-scale datasets and the advancement of deep learning models, pavement crack detection algorithms are expected to further enhance their accuracy and efficiency, offering significant support for road infrastructure management.…”
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Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…On the other hand, the analog-to-digital converter-based circuit, without relying on the LM324 chip, provided a more straightforward and quieter configuration.The intricate nature of construction mandated the design of circuits using Altium Designer 17 software, which was then printed onto circuit boards. Both developed circuits featured the deployment of the STM32F103C8T6 microcontroller, renowned for its robust capabilities and cost efficiency.In the interrupt-based algorithm's development, the microcontroller's external interrupt was used, selecting its sensitivity to detect both rising and falling edges. …”
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Sparse Inversion of Gravity and Gravity Gradient Data Using a Greedy Cosine Similarity Search Algorithm by Luofan Xiong, Zhengyuan Jia, Gang Zhang, Guibin Zhang

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Multi-layer obstacle-avoiding rectilinear steiner minimal tree algorithm based on deep reinforcement learning by Xing Huang, Yuhan Zhu, Yanbo Xu, Yajun Xie, Genggeng Liu

“…Finally, a post-processing stage is applied to further shorten the total wirelength through fast pruning and local optimization. Experimental results demonstrate that the proposed algorithm achieves better wirelength quality compared to state-of-the-art heuristic algorithms. …”
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Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns by Merve Gonca, Mehmet Birol Özel

“…Results A total of four clusters were obtained using the X-means algorithm. Decision trees were used to identify the most discriminative variables among clusters. …”
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Research on Lightweight Open-Pit Mine Driving Obstacle Detection Algorithm Based on Improved YOLOv8s by Bo Xu, Wubin Xu, Bing Li, Hanwen Zhang, Yuanbin Xiao, Weixin Zhou

“…In order to enhance the ability of the backbone to capture features, the idea of the guidance module (CGBlock) of contextual information is introduced to construct a new CGC2f module; the efficient squeeze excitation (ESE) attention mechanism is embedded in the feature fusion layer to make the model pay more attention to the channels containing important feature information; in order to enhance the model’s learning ability for obstacles of different sizes in the open-pit mine, a more suitable dynamic head network (DyHead) is used at the output end; in order to further improve real-time performance, the layer-based adaptive amplitude pruning (LAMP) score algorithm is used to prune redundant weight parameters. …”
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