Towards Accurate Photogrammetry Using Molded Markers by Iñigo Auzmendi Iriarte, Oier Saez de Egilaz, Pedro Gonzalez de Alaiza Martinez, Imanol Herrera

“…A two-stage detection algorithm is developed to accurately identify their centers: initial approximate detection by a Faster R-CNN model, followed by accurate localization using a classical cross center detection algorithm. …”
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Fuzzy Encryption Search Scheme and Data Verification Mechanism Based on Blockchain by Kuan Li

“…First, privacy protection of the raw data is achieved through a hierarchical Mini Batch K-Means clustering algorithm and locally sensitive hash functions. Second, the study proposes a blockchain data verification mechanism that employs a fuzzy encryption search scheme, in conjunction with cloud storage and a fuzzy encryption algorithm. …”
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Network slicing resource allocation strategy based on joint optimization by Zaijian WANG, Huimin GU

“…To improve network resource utilization that was decreased by different applications with different requirements in 5G networks, a network slicing resource allocation strategy based on joint optimization was proposed, which was utilized to maximize both network resource utilization and network revenue by comprehensively considering in tra-slice and inter-slice resource schedule.Firstly, the user’s average satisfaction function was defined in the inter-slicing resource allocation problem.Furthermore, in terms of the number of users, slicing schedule delay and priority, a proportional fair resource allocation algorithm based on quality of service (QoS) was proposed, which was employed to achieve the best tradeoff between fairness and the users’ requirements among slices.Secondly, after two functions (service degradation and resource migration) were introduced in the inter-slice resource schedule problem, two price models were established for internal access users and external access users respectively, where congestion and non-congestion conditions were analyzed.According to the proposed price models, a Stackelberg game between the base station and users was constructed, and a global search algorithm with low complexity was leveraged to obtain the best response of the game, where the best tradeoff between the base station revenue and user utility was obtained.Simulation results show that the proposed strategy can effectively improve resource utilization and network revenue while reducing network congestion.Therefore, it can better realize fairness in resource allocation.…”
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Error Covariance Analyses for Celestial Triangulation and Its Optimality: Improved Linear Optimal Sine Triangulation by Abdurrahim Muratoglu, Halil Ersin Söken, Uwe Soergel

“…The proposed approach, called the Improved-LOST algorithm, introduces a systematic method for evaluating and selecting optimal measurement pairs based on a Cramér–Rao Lower-Bound (CRLB) analysis. …”
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Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO) by Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry

“…The proposed model combines two phases: regular search when searching progresses over time while the second phase, searching by eight patterns when the algorithm reaches stuck. …”
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<italic>H_&#x221E;</italic> Time-Varying Group Formation-Containment Tracking Control of Multi-Agent System With Multiple Leaders by Nani Han, Jianji Wang

“…Then the observer-based <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> time-varying formation tracking protocols are proposed to make the formation leaders realize the desired time-varying formation while tracking the convex combination of tracking leaders, and an algorithm to construct the protocols is given. …”
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Perception and Control Module of the Automatic Tracking System forAutonomous-rail Rapid Tram by YUAN Xiwen, FENG Jianghua, HU Yunqing, ZHANG Xinrui, HUANG Ruipeng, LIN Jun, YUAN Hao

“…Finally, the effectiveness of the algorithm was verified by both co-simulation and the real vehicle test. …”
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Spatial–degree of freedom improvement of interference alignment in multi-input, multi-output interference channels by Yi-bing Li, Xue-ying Diao, Qian-hui Dong

“…Rank minimization rate maximization aims to reduce the impact of interference on undesired users as much as possible while improving the desired data rate. Simulation results show that rank minimization interference minimization algorithm can provide more interference-free dimensions for desired signals than other rank minimization methods. …”
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PHEV Routing with Hybrid Energy and Partial Charging: Solved via Dantzig–Wolfe Decomposition by Zhenhua Chen, Qiong Chen, Cheng Xue, Yiying Chao

“…While the full model fails to solve instances with more than 30 customers, the DW algorithm achieves high-quality solutions with optimality gaps typically below 3%. …”
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Intelligent garbage classification system based on improve MobileNetV3-Large by Yi Zhao, Hancheng Huang, Zhixiang Li, Huang Yiwang, Manjie Lu

“…The image recognition accuracy of the algorithm model was found to reach 81%, while the text recognition accuracy was as high as 97.61%.…”
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Research on Impact of Planned Path Length and Yaw Cost on Collaborative Search of Unmanned Aerial Vehicle Swarms by Heng Zhang, Wenyue Meng, Yanan Liu, Guanyu Liu, Jian Zhang

“…To address the unclear impacts of a planned path length and yaw cost on search performance in large-scale Unmanned Aerial Vehicle (UAV) swarm collaborative search scenarios under complex and dynamic environments, a path grid determination algorithm is proposed, transforming the path-planning problem into an optimal waypoint selection problem, enabling UAVs to make rapid decisions using the Particle Swarm Optimization (PSO) algorithm. …”
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Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning by Yu Feng, Xiaochun Lu

“…With the rapid development of shared electric bicycles and takeaways, the scale of electric two-wheeler users is expanding while generating a huge demand for battery swapping. …”
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RFID-Based Real-Time Salt Concentration Monitoring with Adaptive EKF by Renhai Feng, Xinyi Lin

“…The concentration dynamics are modeled as a hidden Markov process and tracked using an adaptive extended Kalman filter (AEKF). The AEKF algorithm avoids computationally expensive inversion of complex observation equations while automatically adjusting noise covariance matrices via innovation sequence. …”
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Interactive Modelling in Augmented Reality with Subdivision Surfaces and Advanced User Gesture Recognition by Alessio Cellupica, Marco Cirelli, Oliviero Giannini, Pier Paolo Valentini

“…The methodology is developed from a geometry-sculpting algorithm based on the use of the subdivision surfaces approach to combine the ease and versatility of interactive modelling even of complex shapes, while maintaining high geometric continuity and smoothness. …”
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Dynamic positron emission tomography image restoration via a kinetics-induced bilateral filter. by Zhaoying Bian, Jing Huang, Jianhua Ma, Lijun Lu, Shanzhou Niu, Dong Zeng, Qianjin Feng, Wufan Chen

“…The aim of the proposed KIBF algorithm is to reduce the noise in homogeneous areas while preserving the distinct kinetics of regions of interest. …”
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A Method for Improving the Monitoring Quality and Network Lifetime of Hybrid Self-Powered Wireless Sensor Networks by Peng Wang, Yonghua Xiong

“…Therefore, how to extend the network lifetime while ensuring coverage quality is a highly challenging task. …”
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Prediction Model of Water Demand for Scouring Siltation in Coastal River Networks Based on APSO and SVM: A Case Study of Doulong Port by MA Zhutong, XIANG Long, YAN Ke

“…A predictive model of water demand for scouring siltation was constructed, which combined adaptive particle swarm optimization (APSO) algorithm with support vector machine (SVM) and optimized the model parameters of the SVM through the APSO algorithm, enhancing the prediction accuracy of the APSO-SVM model. …”
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A smarter approach to liquefaction risk: harnessing dynamic cone penetration test data and machine learning for safer infrastructure by Shubhendu Vikram Singh, Sufyan Ghani

“…ML models, including Support Vector Machine (SVM) optimized with Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Genetic Algorithm (GA), and Firefly Algorithm (FA), were employed to predict the e/qd ratio using key geotechnical parameters, such as fine content, peak ground acceleration, reduction factor, and penetration rate. …”
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Peculiarities of early diagnosis and tactics of treatment in an acute pancreatitis in pregnant women by Ya. P. Feleshtynskyi, О. V. Golyanovskyi, Т. P. Pavliv

“…In the main group (61 pregnant women) the elaborated algorithm of diagnosis and treatment for an acute pancreatitis in the period 2012 - 2018 yrs was applied, while in a comparison group (62 pregnant women) - the standard methods of diagnosis and treatment in an acute pancreatitis for the period of 2006 - 2012 yrs. …”
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DRL-based max-min fair RIS discrete phase shift optimization for MISO-OFDM systems by Peng Chen, Huaqian Zhang, Xiao Li, Shi Jin

“…Simulation results demonstrate that the proposed DRL-based algorithm can achieve almost optimal performance, while has much less computation consumption.…”
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