Discussion issues in regulatory consequences of surgical help delivery in accordance to principles of a new medical reform by P. F. Muzychenko, А. М. Bilyakov, N. М. Ergard

“…Regarding possible loyal consequences of the surgical help delivery for population of Ukraine and juridical exposure of physicians–surgeons, there is evidence, that they would serve in future as a background to discuss the problem and to accept a regulatory–loyal base, in which the actions algorithm for medical personnel while medical help delivery would be established.…”
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Quasi-Bézier Curves with Shape Parameters by Jun Chen

“…The numerical examples indicated that the algorithm was valid and can easily be applied.…”
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Continuous location privacy protection mechanism based on differential privacy by Hongtao LI, Xiaoyu REN, Jie WANG, Jianfeng MA

“…Aiming at the problem of users’ location privacy leakage caused by continuously using LBS, a road privacy level (RPL) algorithm was proposed based on road topological network, which divided the privacy level of the road sections around the sensitive locations.Then, a differential privacy location protection mechanism (DPLPM) was proposed.Privacy budget was allocated for sensitive road sections and Laplace noise was added to realize the privacy protection of location data.The experimental results show that the mechanism has high data availability while protecting the privacy of location information.…”
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Analytical Designing of Optimum Controller for Linear-Quadratic Functional with the Given Limiting Restrictions by V. I. Timoshpolskii, V. B. Kovalevskii, G. Romadan, P. V. Ilyusenko

“…The paper considers the development of an algorithm with the purpose to solve the problem of analytical designing of optimum controller for linear-quadratic functional with the given limiting restrictions. …”
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Simulation analysis of path planning for workpiece clamping robots based on digital twin technology by Xin PAN, Min LIANG, Yanchao YIN, Zhong CHEN

“…Comparative experiments with two baseline algorithms, RRT*-Connect and an improved RRT*-FN algorithm, highlight the superior performance of the proposed method. …”
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An Incentive Dynamic Programming Method for the Optimization of Scholarship Assignment by Di Huang, Yu Gu, Hans Wang, Zhiyuan Liu, Jun Chen

“…The objective is to find the optimal scholarship assignment scheme with the highest equity while accounting for both the practical constraints and the equity requirement. …”
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Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network by Rahimullah Rabih, Hamed Vahdat-Nejad, Wathiq Mansoor, Javad Hassannataj Joloudari

“…This approach involves combining the Local outlier factor (LOF) algorithm for outlier detection and the Convolutional neural network (CNN) for classification. …”
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Magnetization and superparamagnetic behavior of FeCu nanoalloys at room temperature via synthesis and simulation by Maryam Bahrami, Mehrangiz Bahrami, S. Jafar Hoseini, Mohammad Hadi Ghatee

“…A spin-lattice dynamics algorithm simulated iron–copper (FeCu) nanoalloys of varying sizes and compositions. …”
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Predicting Winter Wheat Grain Yield Using Fractional Green Canopy Cover (FGCC) by Vaughn Reed, Daryl B. Arnall, Bronc Finch, Joao Luis Bigatao Souza

“…Optical sensors have grown in popularity for estimating plant health, and they form the basis of midseason yield estimations and nitrogen (N) fertilizer recommendations, such as the Oklahoma State University (OSU) nitrogen fertilization optimization algorithm (NFOA). That algorithm uses measurements of normalized difference vegetative index (NDVI), yet not all producers have access to the sensors required to make these measurements. …”
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Prediction-Based Filter Updating Policies for Top- Monitoring Queries in Wireless Sensor Networks by Jiping Zheng, Hui Zhang, Baoli Song, Haixiang Wang, Yongge Wang

“…Experimental results show that our PreFU algorithm is more energy-efficient than existing algorithms while guaranteeing the accuracy of top- k query results.…”
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Quantitative inversion of integrated hyperspectral and optical remote sensing images to monitor dust distribution in open pit mines by Simin Feng, Jin Zhang

“…This was achieved by inverting AOD using the 6S radiative transfer model and Dense Dark Vegetation and V5.2 algorithm. The results indicate that: ① AOD obtained by inversion using V5.2 algorithm is more suitable for the Pingshuo mining area.②AOD distribution from different periods demonstrates spatial consistency, showing higher values in waste dumps, roads and town buildings, while lower values are found in open pit mine, vegetation and water.③Dust sources are primarily concentrated in areas with higher AOD values, such as waste dumps, roads, town buildings, where dust pollution is more severe. …”
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Decision Support System to Solve Single-Container Loading Problem Considering Practical Constraints by Natalia Romero-Olarte , Santiago Amézquita-Ortiz, John Willmer Escobar, David Álvarez-Martínez

“…The DSS uses a multi-start randomized constructive algorithm based on a maximal residual space representation. …”
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Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration by Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

“…Experimental validation shows the improved CMMN algorithm reduces cloud task completion time by 2.37% while increasing resource utilization by 0.652% compared with conventional methods. …”
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Development of a Grape Cut Point Detection System Using Multi-Cameras for a Grape-Harvesting Robot by Liangliang Yang, Tomoki Noguchi, Yohei Hoshino

“…In this paper, we proposed an algorithm that using multi-cameras, as well as artificial intelligence (AI) object detection methods, to detect the thin stem and decide the cut point. …”
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A Computationally Efficient Learning-Based Control of a Three-Phase AC/DC Converter for DC Microgrids by Ran Li, Wendong Feng, Tianhao Qie, Yulin Liu, Tyrone Fernando, Herbert HoChing Iu, Xinan Zhang

“…This paper presents a novel learning-based control algorithm for three-phase AC/DC converters, which are key components in DC microgrids, for reliable power conversion. …”
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Virtual Validation and Uncertainty Quantification of an Adaptive Model Predictive Controller-Based Motion Planner for Autonomous Driving Systems by Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Satyesh Shanker Awasthi, Michael Khayyat, Stefano Arrigoni, Francesco Braghin

“…The methodology is applied to a rule-defined Model Predictive Controller (MPC)-based motion planner, where uncertainty quantification (UQ) is performed across various scenarios, based on the intended functionality within the algorithm’s operational design domain (ODD). The framework is designed to assess the performance of the algorithm under localization uncertainties, while performing obstacle vehicle-overtaking, vehicle-following, and safe-stopping maneuvers.…”
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Enhancing confidentiality and access control in electronic health record systems using a hybrid hashing blockchain framework by D. Gowtham Chakravarthy, R. Gopi, Sivaram Murugan, Emerson Raja Joseph

“…Unlike conventional solutions that rely solely on standard blockchain and secure hash algorithm 256 for data protection, this proposed method integrates a multi-layer hybrid hashing approach combining dynamic hash chaining with temporal entropy encoding, making hash collisions virtually infeasible. …”
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A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction by Feifei Hou, Qiwen Meng, Xinyu Fan, Yijun Wang

“…Tailored to pinpoint critical points of EV charging ports, FasterEVPoints incorporates the perspective-n-point (PnP) algorithm for pose extraction and the bundle adjustment (BA) optimization algorithm for refined pose accuracy. …”
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Online Meta-Recommendation of CUSUM Hyperparameters for Enhanced Drift Detection by Jessica Fernandes Lopes, Sylvio Barbon Junior, Leonimer Flávio de Melo

“…The results indicate that this framework preserves high accuracy while significantly reducing time requirements compared to Grid Search and Genetic Algorithm optimization.…”
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Planning and layout of tourism and leisure facilities based on POI big data and machine learning. by Shifeng Wu, Jiangyun Wang, Yinuo Jia, Jintian Yang, Jixiu Li

“…By leveraging machine learning algorithms for facility siting, this study aims to enhance the overall urban layout while mitigating the inherent subjectivity in planning and location decisions, offering valuable insights for the site selection of diverse facilities.…”
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