Experimental Results of Novel DoA Estimation Algorithms for Compact Reconfigurable Antennas by Henna Paaso, Aki Hakkarainen, Nikhil Gulati, Damiano Patron, Kapil R. Dandekar, Mikko Valkama, Aarne Mämmelä

“…Additionally, we compare the performances of the APPR algorithm and LWA-based MUSIC algorithms. We study how the computational complexity and the performance of the algorithms depend on number of selected radiation patterns. …”
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A decision support system based on classification algorithms for the diagnosis of periodontal disease by Abdulrahman Alshehri, Mohammed Dahman, Mousa Assiri, Abdulkarim Alshehri, Sharifah Alqahtani, Mohammed Shaiban, Bashyer Alqahtani, Sabah Althbyani, Hatem Alhefdi, Khalid Hakami, Abdulbari Ali, Abdullah Saeed

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Accelerating the SM3 hash algorithm with CPU‐FPGA Co‐Designed architecture by Xiaoying Huang, Zhichuan Guo, Mangu Song, Xuewen Zeng

“…Abstract SM3 hash algorithm developed by the Chinese Government is used in various fields of information security, and it is being widely used in commercial security products. …”
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Feature Frequency Extraction Algorithm based on PCA and MK-MOMEDA and Its Application by Jiawei Zheng, Qihong Liu, Weiguang Li, Xuezhi Zhao, Guochen Li

“…In the algorithm，PCA is used to perform noise reduction processing on the original signal to obtain a reconstructed signal. …”
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A comparison of computational efficiencies of stochastic algorithms in terms of two infection models by H. Thomas Banks, Shuhua Hu, Michele Joyner, Anna Broido, Brandi Canter, Kaitlyn Gayvert, Kathryn Link

Subjects: “…stochastic simulation algorithms…”
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The DTN Routing Algorithm Based on Markov Meeting Time Span Prediction Model by En Wang, Yongjian Yang, Bing Jia, Tingting Guo

“…Simulation results suggest that this algorithm efficiently improves the delivery rate and reduces the average delay.…”
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Overview of soil organic carbon mapping using machine learning algorithms in Africa by Yassine Bouslihim, Rachid Aboutayeb, Tarik Benabdelouahab

“…In this review, studies conducted using geostatistical approaches without the use of ML algorithms, and those focusing on SOC stocks, were not considered. …”
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Wind Speed Forecast Based on the LSTM Neural Network Optimized by the Firework Algorithm by Bilin Shao, Dan Song, Genqing Bian, Yu Zhao

“…Aiming at hyperparameter optimization in a combined forecasting method, a wind speed prediction model based on the long short-term memory (LSTM) neural network optimized by the firework algorithm (FWA) is proposed. Focusing on the real-time sudden change and dependence of wind speed data, a wind speed prediction model based on LSTM is established, and FWA is used to optimize the hyperparameters of the model so that the model can set parameters adaptively. …”
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Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems by Zhengqing Fu, Lanlan Guo

“…The Levenberg–Marquardt algorithm is used to estimate the nonlinear parameters. …”
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A Deadline-Constrained Scheduling Algorithm for Intensive-Instance Serviceflows in Cloud Environment by Wei Liu, Taoshen Li, Ruwei Huang

“…The experimental results in CloudSim show that the algorithm compared with others algorithm saves the execution cost with meeting the user-defined deadline, avoids the fierce competition of cheaper services and improves the success ratio of the scheduling.…”
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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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TOOL WEAR STATE MONITORING BASED ON WAVELET PACKET BP＿ADABOOST ALGORITHM by ZHU Xiang, XIE Feng

“…The experimental result shows that the BP _Ada Boost algorithm can effectively diagnose the wear state of the tool in CNC machine tools compared with the SVM algorithm.…”
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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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Optimal algorithm based on weight balancing for designing the logical topology of the optical network by FU Ming-lei, LE Zi-chun, LU Min

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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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