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Relevant bibliographies by topics / Improved Relief algorithm

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Academic literature on the topic 'Improved Relief algorithm'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Improved Relief algorithm"

1

Wang, Hongbin, Pengming Wang, Shengchun Deng, and Haoran Li. "Improved Relief Weight Feature Selection Algorithm Based on Relief and Mutual Information." Information 12, no. 6 (2021): 228. http://dx.doi.org/10.3390/info12060228.

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As the classic feature selection algorithm, the Relief algorithm has the advantages of simple computation and high efficiency, but the algorithm itself is limited to only dealing with binary classification problems, and the comprehensive distinguishing ability of the feature subsets composed of the former K features selected by the Relief algorithm is often redundant, as the algorithm cannot select the ideal feature subset. When calculating the correlation and redundancy between characteristics by mutual information, the computation speed is slow because of the high computational complexity an

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Huang, Pan, Yanping Li, Xiaoyi Lv, Wen Chen, and Shuxian Liu. "Recognition of Common Non-Normal Walking Actions Based on Relief-F Feature Selection and Relief-Bagging-SVM." Sensors 20, no. 5 (2020): 1447. http://dx.doi.org/10.3390/s20051447.

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Action recognition algorithms are widely used in the fields of medical health and pedestrian dead reckoning (PDR). The classification and recognition of non-normal walking actions and normal walking actions are very important for improving the accuracy of medical health indicators and PDR steps. Existing motion recognition algorithms focus on the recognition of normal walking actions, and the recognition of non-normal walking actions common to daily life is incomplete or inaccurate, resulting in a low overall recognition accuracy. This paper proposes a microelectromechanical system (MEMS) acti

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Huo, Li, and Jiayu Wang. "Research on Solving Postdisaster Material Distribution and Scheduling with Improved NSGA-II Algorithm." Computational Intelligence and Neuroscience 2022 (May 5, 2022): 1–11. http://dx.doi.org/10.1155/2022/2529805.

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After the occurrence of major sudden disasters, the dispatching and distribution of disaster relief materials are particularly important, but in the process of distribution, there may be excessive distribution of similar emergency materials, unbalanced distribution volume of relief materials in different disaster-affected points, high distribution cost, and low effective distribution rate. In order to solve the above problems, based on the application of big data, this paper proposes a three-level network postdisaster material scheduling and distribution model and an improved NSGA-II algorithm

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Sun, Qiang, and Shupei Liu. "Locating abrupt disaster emergency logistics centres using improved artificial bee colony (IABC) algorithm." Science Progress 104, no. 2 (2021): 003685042110162. http://dx.doi.org/10.1177/00368504211016205.

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Emergency management is conceptualized as a complex, multi-objective optimization problem related to facility location. However, little research has been performed on the horizontal transportation of emergency logistics centres. This study makes contributions to the multi-objective locating abrupt disaster emergency logistics centres model with the smallest total cost and the largest customer satisfaction. The IABC algorithm is proposed in this paper to solve the multi-objective emergency logistics centres locating problem. IABC algorithm can effectively calculate the optimal location of abrup

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Li, Tang, and Li Yaping. "An Improved PSO Algorithm for Optimized Material Scheduling in Emergency Relief." Mathematical Problems in Engineering 2022 (October 17, 2022): 1–12. http://dx.doi.org/10.1155/2022/5343521.

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Efficient emergency material dispatch, amid the aftermath of an emergency event, can help control the spread of the disaster and reduce disaster losses. Herewith, we propose a model with the urgency of material demand as the target coefficient, and the minimum load time and the minimum transportation cost as the total cost. For this model, an improved particle swarm optimization (PSO) algorithm is proposed as the means to optimize the initial positions of particles with good point sets and improve the convergence speed with adaptive dynamic weights to improve the optimization of the emergency

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Li, Man, Xinyi Zhou, Siyao Qin, Ziyan Bin, and Yanhui Wang. "Improved RAkEL’s Fault Diagnosis Method for High-Speed Train Traction Transformer." Sensors 23, no. 19 (2023): 8067. http://dx.doi.org/10.3390/s23198067.

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The traction system is very important to ensure the safe operation of high-speed trains, and the failure of the traction transformer is the most likely fault in the traction system. Fault diagnosis in actual work relies largely on manual experience. This paper proposes an improved RAkEL (Random k-Labelsets) algorithm for the fault diagnosis of high-speed train traction transformers. Firstly, this article starts from the large amount of “sleeping” fault maintenance data accumulated by the railway department, takes a single maintenance record as an instance, uses specific monitoring values to co

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Diao, Qifeng, Jinfeng Zhang, Min Liu, and Jiaxuan Yang. "A Disaster Relief UAV Path Planning Based on APF-IRRT* Fusion Algorithm." Drones 7, no. 5 (2023): 323. http://dx.doi.org/10.3390/drones7050323.

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Unmanned Aerial Vehicle (UAV) path planning has increasingly become the key research point for civilian drones to expand their use and enhance their work efficiency. Focusing on offline derivative algorithms, represented by Rapidly-exploring Random Trees (RRT), are widely utilized due to their high computational efficiency. However, deploying these offline algorithms in complex and changing disaster environments presents its own drawbacks, such as slow convergence speed, poor real-time performance, and uneven generation paths. In this paper, the Artificial Potential Field -Improved Rapidly-exp

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Zhang, Hong-Mei, Le Yang, and Ming-Long Li. "Improved SURF Algorithm and Its Application in Seabed Relief Image Matching." ITM Web of Conferences 12 (2017): 05017. http://dx.doi.org/10.1051/itmconf/20171205017.

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You, Zhou, Sun Lecheng, Zhou Xu, Parmar Milan, and Wang Liupu. "An Improved Genetic Algorithm to Optimize Vehicle Scheduling for Relief Efforts." International Journal of Performability Engineering 15, no. 9 (2019): 2356. http://dx.doi.org/10.23940/ijpe.19.09.p8.23562363.

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Long, Shengjie, Dezhi Zhang, Shuangyan Li, and Shuanglin Li. "Two-Stage Multi-Objective Stochastic Model on Patient Transfer and Relief Distribution in Lockdown Area of COVID-19." International Journal of Environmental Research and Public Health 20, no. 3 (2023): 1765. http://dx.doi.org/10.3390/ijerph20031765.

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The outbreak of an epidemic disease may cause a large number of infections and a slightly higher death rate. In response to epidemic disease, both patient transfer and relief distribution are significant to reduce corresponding damage. This study proposes a two-stage multi-objective stochastic model (TMS-PTRD) considering pre-pandemic preparedness measures and post-pandemic relief operations. The proposed model considers the following four objectives: the total number of untreated infected patients, the total transfer time, the overall cost, and the equity distribution of relief supplies. Befo

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Book chapters on the topic "Improved Relief algorithm"

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Xie, Yonghong, Daole Li, Dezheng Zhang, and Ha Shuang. "An Improved Multi-label Relief Feature Selection Algorithm for Unbalanced Datasets." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69096-4_21.

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Ye, Liang, Jifu Shi, Hany Ferdinando, Tapio Seppänen, and Esko Alasaarela. "School Violence Detection Based on Multi-sensor Fusion and Improved Relief-F Algorithms." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22971-9_22.

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Ji, Chenxi, Huan Zhang, and Sayan Mitra. "Reachability for Nonsmooth Systems with Lexicographic Jacobians." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90653-4_18.

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Abstract Reachability analysis for dynamical systems typically relies on the system’s Jacobian to bound sensitivity of solutions. This method fails for nonsmooth dynamical systems as the Jacobian becomes undefined at the points where the vector field is non-differentiable. Such models can be hybridized by gluing together several smooth subsystems or modes via transitions, but the accuracy of reachability degrades when reachable sets are propagated across the mode boundaries. We propose an alternative approach based on lexicographic differentiation. Lexicographic differentiation was introduced

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Gnecco, Giorgio, Martina Fausto, Gabriele Romano, Gualtiero Volpe, and Antonio Camurri. "Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55722-4_8.

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AbstractThe perceived Origin of full-body human Movement (OoM), i.e., the part of the body that is perceived by an external observer as the joint from which movement originates, represents a relevant topic for movement analysis. Indeed, its automated detection is important to contribute to the automated analysis of full-body emotions and of non-verbal social signals, and has potential applications, among others, in dance and music teaching, cognitive and motor rehabilitation, sport, and entertainment. In this work, we further develop a recently proposed algorithm for the automated detection of

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Chen, Chunjun, and Linshuying Huang. "Construction of Bearing Performance Degradation Indicators for Adaptive Improvement of Principal Component Analysis." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7887-4_101.

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Abstract Rolling bearing health assessment relies on the constructed degradation indicators, In order to improve the monotonicity and trend of the indicators, a fusion indicator construction method considering feature burr removal is proposed. For the feature burrs appearing in the rolling bearing degradation performance characterization features that deviate from the expected degradation trend, a criterion-based adaptive burr removal strategy is used to detect and remove the burrs existing in the characterization features to improve the performance of the degradation indicators; then, princip

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Greene, Casey S., Daniel S. Himmelstein, Jeff Kiralis, and Jason H. Moore. "The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics." In Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12211-8_16.

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Song, Rui, Dilai Chen, and Gang Shen. "Design Method of Rail Grinding Profile Based on Wheel Rail Contact Relationship." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_11.

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AbstractWhen the railway track is damaged, it is essential to grind it in in a timely manner to enhance the wheel-rail contact performance. This paper relies primarily on the rolling radius difference function as the main design basis, taking the expected distribution between the wheel and the rail as the boundary condition. In cases where the abscissa of the rail is known, the Euler method is used to solve the differential equation to obtain the optimized ordinate of the rail. The profile of the rail is optimized, and the feasibility of the design method is verified through programmed algorit

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Doyen, Laurent, Pranshu Gaba, and Shibashis Guha. "Stochastic Window Mean-Payoff Games." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57228-9_3.

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AbstractStochastic two-player games model systems with an environment that is both adversarial and stochastic. The environment is modeled by a player ($$\text {Player}~{2}$$ Player 2 ) who tries to prevent the system ($$\text {Player}~{1}$$ Player 1 ) from achieving its objective. We consider finitary versions of the traditional mean-payoff objective, replacing the long-run average of the payoffs by payoff average computed over a finite sliding window. Two variants have been considered: in one variant, the maximum window length is fixed and given, while in the other, it is not fixed but is req

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Iqbal, Mohsin, Saif Ur Rehman, Saira Gillani, and Sohail Asghar. "An Empirical Evaluation of Feature Selection Methods." In Improving Knowledge Discovery through the Integration of Data Mining Techniques. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8513-0.ch012.

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The key objective of the chapter would be to study the classification accuracy, using feature selection with machine learning algorithms. The dimensionality of the data is reduced by implementing Feature selection and accuracy of the learning algorithm improved. We test how an integrated feature selection could affect the accuracy of three classifiers by performing feature selection methods. The filter effects show that Information Gain (IG), Gain Ratio (GR) and Relief-f, and wrapper effect show that Bagging and Naive Bayes (NB), enabled the classifiers to give the highest escalation in classi

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Xu, Qi, Jian Guo, and Zhaorong He. "Improved Object Detection Algorithm for Small Mechanical Parts Based on YOLOv7." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240138.

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Traditionally, the sorting of small mechanical parts has heavily relied on artificial vision, which is prone to false or missed detection. The emergence of deep learning-based object detection algorithms offers promise to solve this problem. However, the small size of mechanical parts makes it challenging to achieve high accuracy. To address this issue, an improved object detection algorithm based on YOLOv7 is proposed. Firstly, the CBAM attention module is incorporated into the YOLOv7 to emphasize object features and suppress secondary information. Furthermore, the YOLOv7 is integrated with t

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Conference papers on the topic "Improved Relief algorithm"

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SubbaRaju Patchamatla, Pavan Srikanth, M. Ramesh, Hayder Muhamed Abas, Piyush Kumar Pareek, and N. Kalyana Sundaram. "Fault Detection Using ReliefF Algorithm with Canonical Correlation Analysis Based on Improved Support Vector Machine." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968438.

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Kleindiek, David Stefan, Matthias Kemmler, and Andreas Zell. "Enhancing Semiconductor Nanoprobing Procedures with AI-Driven Tip Detection." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0001.

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Abstract The automation of nanoprobing application relies on the accurate detection of probe tips in scanning electron microscope (SEM) images. This work explores the application of deep learning models to automate and improve this critical process. Different models such as Mask R-CNN, YOLOv8 and RTMDet, trained on a specialized dataset, are used to accurately detect, segment and localize probe tips in SEM images, even under challenging conditions. Results show that these models have the potential to improve the automation of nanoprobing workflows, particularly in automatic tip positioning and

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Tang, Luxin, Huan Yao, Zhijun Zhang, and Jun Liu. "Research of Relief Pattern Design Based on Improved Genetic Algorithm." In 2008 International Symposium on Intelligent Information Technology Application Workshops (IITAW). IEEE, 2008. http://dx.doi.org/10.1109/iita.workshops.2008.189.

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Wang, Zhufang, and Wenqing Miao. "An improved algorithm to solve the transportation problems of relief materials." In 2010 2nd IEEE International Conference on Information and Financial Engineering (ICIFE). IEEE, 2010. http://dx.doi.org/10.1109/icife.2010.5609248.

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Chen, Xiang, Li Shoujun, Ziwei Zhang, and Deyu Miao. "Wetland vegetation identification based on improved JM-Relief F feature optimization algorithm." In International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2023), edited by Chao Zuo. SPIE, 2023. http://dx.doi.org/10.1117/12.2682653.

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Sun, Xinxin, Chi Zhang, and Shanhong Li. "Optimization of Multi-objective Relief Emergency Material Scheduling Based on Improved Genetic Algorithm." In 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB). IEEE, 2023. http://dx.doi.org/10.1109/iceib57887.2023.10170216.

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Guo, Tao, Hong Zhang, Lin Xiao, Lili Wei, and Jin Yan. "A fault prediction method of distribution network based on the improved RelieF-Softmax algorithm." In 2021 China International Conference on Electricity Distribution (CICED). IEEE, 2021. http://dx.doi.org/10.1109/ciced50259.2021.9556791.

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Monica, K. M., Mohammed Al-Farouni, G. K. Madhura, K. Ghamya, and M. Geethalakshmi. "Vehicle Type Detection and Classification Using Improved Relief Feature Selection Algorithm and Bidirectional Gated Recurrent Unit." In 2024 Second International Conference on Data Science and Information System (ICDSIS). IEEE, 2024. http://dx.doi.org/10.1109/icdsis61070.2024.10594411.

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Yan, Jun, Lei Wang, Weibing Weng, Xiong Fan, Cong Lin, and Wanpeng Li. "Research on Dynamic Scheduling Algorithm for Emergency Repair of Power Grid Disaster Relief Based on Improved Q-Learning." In EITCE 2023: 2023 7th International Conference on Electronic Information Technology and Computer Engineering. ACM, 2023. http://dx.doi.org/10.1145/3650400.3650429.

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Liu, Ruohan, Qi Haoping, Kang Jingjie, Wu Yanyan, and Li Feifei. "Automatic Detection of Dead-End Roads in High-Resolution Satellite Image." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7165.

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<div class="section abstract"><div class="htmlview paragraph">There are dead-end roads in the road network, and many of them have the function of indicating specific target clues, which is of great significance in the fields of military, urban construction, and disaster relief and rescue. However, many of the important cut-offs are in mountainous or wilderness areas, and surveying them is difficult and costly. The research objective of this project is to extract the breakpoints in the road network using high-resolution Google satellite imagery, so as to provide clues and indication

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Reports on the topic "Improved Relief algorithm"

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Over, Thomas, Riki Saito, Andrea Veilleux, et al. Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois. Illinois Center for Transportation, 2016. http://dx.doi.org/10.36501/0197-9191/16-014.

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This report provides two sets of equations for estimating peak discharge quantiles at annual exceedance probabilities (AEPs) of 0.50, 0.20, 0.10, 0.04, 0.02, 0.01, 0.005, and 0.002 (recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively) for watersheds in Illinois based on annual maximum peak discharge data from 117 watersheds in and near northeastern Illinois. One set of equations was developed through a temporal analysis with a two-step least squares-quantile regression technique that measures the average effect of changes in the urbanization of the watersheds used i

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