A distributed adaptive local searching algorithm for wireless sensor network localization by Oscar Osvaldo Saldaña Hernández, Juan Cota-Ruiz, Rafael Gonzalez-Landaeta, Ernesto Sifuentes

“…In this article, we propose a distributed range-based localization algorithm for wireless sensor network. The algorithm is mainly based on an adaptively local circular searching area where each unknown sensor must find inside a position that minimizes the error distance with neighboring sensors using a local function. …”
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The algorithm for foggy weather target detection based on YOLOv5 in complex scenes by Zhaohui Liu, Wenshuai Hou, Wenjing Chen, Jiaxiu Chang

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Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion by Yongjun Qi, Hailin Tang, Altangerel Khuder

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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis by Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi

“…Tree-based models were the primarily used algorithms and showed promising results in predicting PTSD outcomes for various groups, as indicated by their pooled AUCs: military incidents (0.745), sexual or physical trauma (0.861), natural disasters (0.771), medical trauma (0.808), firefighters (0.96), and alcohol-related stress (0.935). …”
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An Incremental Interesting Maximal Frequent Itemset Mining Based on FP-Growth Algorithm by Hussein A. Alsaeedi, Ahmed S. Alhegami

“…The massive volume of data creates an imminent need to design incremental algorithms for the maximal frequent itemset mining in order to handle incremental data over time. …”
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Multifeature Contrast Enhancement Algorithm for Digital Media Images Based on the Diffusion Equation by Jijun Wang, Yi Yuan, Guoxiang Li

“…Finally, the significance means a value of super pixel blocks is calculated in superpixel units, and the image is segmented into objects and backgrounds by combining with the Otsu threshold segmentation algorithm to mention the image. In this paper, the proposed algorithm experiments with several sets of Kor Kor resolution remote sensing images, respectively, and the Markov random field model and fully convolutional network (FCN) algorithm are used as the comparison algorithm. …”
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Quantitative analysis of different SLAM algorithms for geo-monitoring in an underground test field by Jing Li, Jörg Benndorf, Paweł Trybała

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A Robust k-Means Clustering Algorithm Based on Observation Point Mechanism by Xiaoliang Zhang, Yulin He, Yi Jin, Honglian Qin, Muhammad Azhar, Joshua Zhexue Huang

“…The k-means algorithm is sensitive to the outliers. In this paper, we propose a robust two-stage k-means clustering algorithm based on the observation point mechanism, which can accurately discover the cluster centers without the disturbance of outliers. …”
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An Algorithm That Predicts CSI to Allocate Bandwidth for Healthcare Monitoring in Hospital's Waiting Rooms by Di Lin, Fabrice Labeau

“…We analyze the reliability of the proposed algorithm by deducing the standard error of estimated CSI with this algorithm. …”
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Retracted: Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation by International Transactions on Electrical Energy Systems

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Research on Energy Efficiency Management of Forklift Based on Improved YOLOv5 Algorithm by Zhenyu Li, Ke Lu, Yanhui Zhang, Zongwei Li, Jia-Bao Liu

“…In the data preprocessing section, through operations such as framing and clustering the collected video data and using the improved image hash algorithm to remove similar images, a new dataset of forklift goods was built. …”
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Attention Feature Network Extraction Combined with the Generation Algorithm of Multimedia Image Description by Beibei Sun

“…After the testing of the database, the results indicate that the calculation method of the algorithm put forward in this paper is more accurate than the top-down multimedia image algorithm generated by a single attention.…”
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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…The accuracy of classification and early warning results of the random forest algorithm is relatively high, and the detection rate of the decision tree model is relatively high, but the cost is also the highest. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…In this study, in order to discover hidden patterns and diagnose diabetes, a particle swarm intelligence algorithm has been used along with a neural network to increase the accuracy of diabetes diagnosis. …”
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Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm by Yue Chen, Jiwen Cui, Xun Sun, Shihai Cui

“…In this study, an assembly optimization method for the multistage rotor of an aeroengine is proposed based on the genetic algorithm. Firstly, a spatial location propagation model is developed to accurately predict the spatial position of each rotor after assembly. …”
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…The primary objective of this paper is to address the shortcomings of existing algorithms in the context of UAV-based object detection. …”
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Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy by Xueying Li, Pingping Fan, Zongmin Li, Guangyuan Chen, Huimin Qiu, Guangli Hou

“…The classification results of different number of training samples are analyzed and compared with the support vector machine algorithm. Under the condition that Kennard–Stone algorithm divides the calibration set, the classification results of six different soil types and single six soil types by convolutional neural network are better than those by the support vector machine. …”
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An Evolutionary Algorithm with Clustering-Based Assisted Selection Strategy for Multimodal Multiobjective Optimization by Naili Luo, Wu Lin, Peizhi Huang, Jianyong Chen

“…Numerical experiments report the effectiveness and advantages of our proposed algorithm.…”
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Experimental Research on Automatic Alignment and Control Algorithm of Spatial Light-Fiber Coupling by Xizheng Ke, Benkang Yin

“…A fiber coupler based on two-dimensional (2D) piezoelectric ceramics was developed, which uses the stochastic parallel gradient descent (SPGD) algorithm to realize the automatic coupling of space light-SMF. …”
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Identifying the Risky SNP of Osteoporosis with ID3-PEP Decision Tree Algorithm by Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen

“…In order to solve the overfitting problem in ID3 decision tree algorithm, we then classified the SNPs with positive results based on their features of position and function through a simplified classification decision tree which was constructed by ID3 decision tree algorithm with PEP (Pessimistic-Error Pruning). …”
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