Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm. by Yonggang Huang, Teng Teng, Yuanyuan Li, Minghao Zhang

“…To enhance patient privacy, a fuzzy encryption algorithm is employed. This prevents unauthorized access and decryption of sensitive medical data. …”
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Algorithm for Extraction of Reflection Waves in Single-Well Imaging Based on MC-ConvTasNet by Wanting Lin, Jiaqi Xu, Hengshan Hu

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Application of SVM algorithm in fluid prediction of volcanic reservoirs in Nanpu Sag, Bohai Bay Basin by ZHANG Ying,QU Lili,ZHU Lu,ZHANG Yan,HAN Siyang,ZENG Cheng

“…The correct judgment rate of the prediction library reaches 90 %. The prediction application of SVM algorithm shows that it has low calculation complexity and strong generalization ability, which can quickly identify the fluid properties of volcanic rocks and provide a reliable basis for the analysis of oil and gas accumulation rules and the production and development of geological reserves.…”
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Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization by Buti Sello, Jianming Yong, Xiaohui Tao

“…One notable feature of this mechanism is its equitable node-selection algorithm, which ensures equal opportunities for all nodes to engage in block creation and validation. …”
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The Deep Deterministic Policy Gradient Algorithm Based on RIS Technology in a Coal Mine Tunnel by Shuqi Wang, Fengjiao Wang, Wei Zhang, Yaqi Wang

“…A comparison of system stability and convergence rates among the DDPG, A3C, and DQN algorithms reveals that, under the DDPG optimization scheme, the average link rate reaches 6.6 bps/Hz with ideal RIS reflection and 4.6 bps/Hz with non-ideal conditions when the base station transmit power is defined as 38 dBm. …”
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TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5 by Han Wang, Zhenwei Yang, Qiaoshou Liu, Qiang Zhang, Honggang Wang

“…Therefore, a lightweight object detection algorithm based on YOLOv5 is proposed to solve the problem of excessive network parameters in automatic driving scenarios. …”
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Research on Crimp Pitch Measurement for Overhead Transmission Line Based on Image Processing With Composite Algorithm by Junjie Zhang, Huashen Guan, Qiushen Cai, Xiaoguang Zhang, Huitu Shao, Shengguan Qu

“…This paper proposes an automated crimp pitch measurement system for overhead transmission lines based on image processing with a composite algorithmic approach. First, the indentation enhancement algorithm and indentation segmentation algorithm are used on the captured image to accurately identify the indentation region. …”
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A Quadratic Traversal Algorithm of Shortest Weeding Path Planning for Agricultural Mobile Robots in Cornfield by Le Zhang, Rui Li, Zhiqiang Li, Yuyao Meng, Jinxin Liang, Leiyang Fu, Xiu Jin, Shaowen Li

“…Finally, based on the contour of the target plants and the Canny edge detection operator, the shortest weeding path guidance can be calculated by the proposed quadratic traversal algorithm. The experimental results proved that our search success rate can reach 90.0% on the testing date. …”
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LO-MLPRNN: A Classification Algorithm for Multispectral Remote Sensing Images by Fusing Selective Convolution by Xiangsuo Fan, Yan Zhang, Yong Peng, Qi Li, Xianqiang Wei, Jiabin Wang, Fadong Zou

“…To address the limitation of traditional deep learning algorithms in fully utilizing contextual information in multispectral remote sensing (RS) images, this paper proposes an improved vegetation cover classification algorithm called LO-MLPRNN, which integrates Large Selective Kernel Network (LSK) and Omni-Dimensional Dynamic Convolution (ODC) with a Multi-Layer Perceptron Recurrent Neural Network (MLPRNN). …”
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Optimized TD3 algorithm for robust autonomous navigation in crowded and dynamic human-interaction environments by Husam A. Neamah, Oscar Agustin Mayorga Mayorga

“…The purpose of this algorithm is to meet as many consecutive targets as possible, i.e. the robot never returns to its initial position, it is assigned new targets regardless of the position it has reached. …”
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Real-time anti-sleep alert algorithm to prevent road accidents to ensure road safety by Abhishek Kumar Pathak, Ankit Kumar Singh, Pankaj Kumar, Vimal Bhatia, Vimal Bhatia, Vimal Bhatia, Ondrej Krejcar, Ondrej Krejcar

“…This paper proposes an anti-sleep driver detection algorithm designed specifically for four-wheelers and larger vehicles to mitigate accidents caused by driver drowsiness. …”
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Localization and ambiguity resolution algorithm for time-difference fusion of three satellites based on observation filtering by Yanli Zhang, Haoquan Wang, Jingfeng Zheng, Lei Hua, Rui Zhang, Jian Xie

“…Experiments show that localization algorithm for time-difference fusion of multiple satellites outperforms other advanced localization methods and achieves the Cramér-Rao Lower Bound (CRLB) of fusion localization; with the increase of filtering time, the ambiguity resolution algorithm for time-difference fusion of multiple satellites can reach the Bayesian Cramér-Rao Lower Bound (BCRLB) and outperforms the algorithm combining with the direction finding assistance for ambiguity resolution.…”
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BGIR: A Low-Illumination Remote Sensing Image Restoration Algorithm with ZYNQ-Based Implementation by Zhihao Guo, Liangliang Zheng, Wei Xu

“…The algorithm is also deployed to ZYNQ using ARM + FPGA software synergy, reasonably allocating each algorithm module and accelerating the algorithm by using a lookup table and constructing a pipeline. …”
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The optimization of low Earth orbit satellite constellation visibility with genetic algorithm for improved navigation potential by Chao Qin, Yanbin Gao, Yihuan Wang

“…Abstract To tackle visibility optimization challenges in Low Earth Orbit satellite constellations, this study proposed an enhanced framework based on an adaptive parallel Genetic Algorithm (GA). The aim was to improve both navigation accuracy and dynamic robustness. …”
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An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels by Xiaoya Zuo, Yuan Yang, Rugui Yao, Ye Fan, Lu Li

“…The algorithm shows better performance even in harsh electromagnetic environments. …”
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Major Recommendation System for New Students at SMK Muhammadiyah 1 Lamongan with Naive Bayes Algorithm by Wildan Irsyad Muzaqi, M. Ghofar Rohman, Danang Bagus Reknadi

“…The test results show that the system achieves an average accuracy of 90.91%, with precision above 0.73 for each major, recall above 0.80 except for the Office Management major which reaches 0.75, and an average F1 score of 81.72%. These findings indicate that the website-based major recommendation system with the Naive Bayes algorithm is effective and can help students determine majors that suit their potential and interests objectively and accurately, thus supporting a more precise and targeted major selection process.…”
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Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm by Chunfeng Jiang, Zegang Niu, Jingru Qu, Yulan Zhao, Amin Rezaeipanah

“…Abstract Fair Influence Maximization (FIM) aims to ensure an equitable spread of influence across different groups in a social network while maximizing overall reach. By incorporating fairness constraints and leveraging community structures, FIM mitigates bias and enhances the effectiveness of influence propagation. …”
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An Optimized Core Distribution Adaptive Topology Reconfiguration Algorithm for NoC-Based Embedded Systems by Bowen Hou, Dali Xu, Fangfa Fu, Bing Yang, Na Niu

“…In particular, when the faulty cores reach 8 in the 8 × 9 REmesh, the successful reconfiguration rate is 63.60% with the proposed algorithm, which is 14.80% higher than BTTR and 9.30% higher than BSTR. …”
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A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle by Jianhui Mou, Bo Shi, Bo Wang, Chengcheng Yu, Yangwei Wang, Fusheng Zhong, Li Zheng, Jian Wang, Junjie Li

“…Second, a comprehensive reward function incorporating artificial potential field (APF) inspiration is designed to guide the USV to reach the target region. Subsequently, an optimized deep neural network with a reward-averaging strategy is constructed to effectively enhance the learning and convergence speed of the algorithm, thus further improving the global search capability and interface performance of USV path planning. …”
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An improved A* algorithm for generating four-track trajectory planning to adapt to longitudinal rugged terrain by Zhi-guang Liu, Hai-nan Yang, Qin-cong Wang, Yong Shi, Jian Zhao

“…Abstract A four-wheeled robot can stride through longitudinal trenches to adapt to terrain challenges and effectively reach the target position in unstructured space, thus achieving navigation in rough terrain. …”
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