Research on Multiscene Vehicle Dataset Based on Improved FCOS Detection Algorithms by Fei Yan, Hui Zhang, Tianyang Zhou, Zhiyong Fan, Jia Liu

“…FCOS as a representative of anchor-free detection algorithms was once a sensation, but now it seems to be slightly insufficient. …”
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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

“…The XGB algorithm can be an accurate algorithm to predict the ADG, FCR, and RFI values without measuring costly daily feed intake. …”
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ALGORITHMS FOR IDENTIFICATION OF CUES WITH AUTHORS’ TEXT INSERTIONS IN BELARUSIAN ELECTRONIC BOOKS by Y. S. Hetsevich, T,. I. Okrut, B. M. Lobanov

“…The main stages of algorithms for characters’ gender identification in Belarusian electronic texts are described. …”
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Characterizing Perception Deep Learning Algorithms and Applications for Vehicular Edge Computing by Wang Feng, Sihai Tang, Shengze Wang, Ying He, Donger Chen, Qing Yang, Song Fu

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Comparisons of performances of structural variants detection algorithms in solitary or combination strategy. by De-Min Duan, Chinyi Cheng, Yu-Shu Huang, An-Ko Chung, Pin-Xuan Chen, Yu-An Chen, Jacob Shujui Hsu, Pei-Lung Chen

“…Interestingly, expanding the number of algorithms from three to five in the combination did not enhance performance, highlighting the efficiency of a well-chosen ensemble over a larger algorithmic pool.…”
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Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study by Kanthida Kusonmano, Michael Netzer, Christian Baumgartner, Matthias Dehmer, Klaus R. Liedl, Armin Graber

“…RF mainly outperforms other investigated algorithms, while accuracy levels are comparable among all the remaining ones. …”
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Multiple Machine Learning Algorithms-based NBA Team Playoffs Prediction by Yeung Manho

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Synthesis of stochastic algorithms for image registration by the criterion of maximum mutual information by A.G. Tashlinskii, G.L. Safina, R.M. Ibragimov

“…We discuss a synthesis of stochastic algorithms, obtaining expressions for gradients of Shannon, Renyi and Tsallis mutual information on the basis of the mathematical apparatus of stochastic gradient adaptation of algorithms for estimating image registration parameters. …”
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General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities by Nopparat Wairojjana, Poom Kumam

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Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms by Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang

“…Unsupervised learning algorithms can effectively solve sample imbalance. To address battery consistency anomalies in new energy vehicles, we adopt a variety of unsupervised learning algorithms to evaluate and predict the battery consistency of three vehicles using charging fragment data from actual operating conditions. …”
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Maximizing Electric Power Recovery through Advanced Compensation with MPPT Algorithms by Souad Touairi, Mustapha Zekraoui, Mustapha Mabrouki

“…This innovative approach seamlessly integrates the MPPT algorithm into the piezo harvester circuit. Moreover, the vehicle’s road handling is significantly augmented through the incorporation of a robust steering front and an active differential control system. …”
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Enhancing the Efficiency of Routing Strategies in WSNs Using Live Streaming Algorithms by Hayder Jasim Alhamdane, Mohsen Nickray

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Lung Cancer Prediction Based on K-nearest Neighbor and Other Algorithms by Ren Yimo

“…The computer algorithms mainly used in this paper include Random forest, K-nearest neighbours, and Logistic regression. …”
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Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial Compressor by Clarich Alberto, Mosetti Giovanni, Pediroda Valentino, Poloni Carlo

“…This analysis has helped us to choose the most appropriate variables and their ranges in order to implement the optimization algorithm more efficiently and rapidly. For the simulation of the fluid flow through the machine, we have used a cluster of 12 processors.…”
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Malware Detection in Self-Driving Vehicles Using Machine Learning Algorithms by Seunghyun Park, Jin-Young Choi

“…Then, we propose an efficient algorithm for detecting malicious behaviors in a network environment and conduct experiments to verify algorithm accuracy and cost through comparisons with other algorithms.…”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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Inversion Free Algorithms for Computing the Principal Square Root of a Matrix by Nicholas Assimakis, Maria Adam

“…New algorithms are presented about the principal square root of an n×n matrix A. …”
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Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms by Zhongyi Hu, Yukun Bao, Tao Xiong

“…Considering the performance of SVR highly depends on its parameters; this study proposed a firefly algorithm (FA) based memetic algorithm (FA-MA) to appropriately determine the parameters of SVR forecasting model. …”
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Recovery of Sparse Signals via Modified Hard Thresholding Pursuit Algorithms by Li-Ping Geng, Jin-Chuan Zhou, Zhong-Feng Sun, Jing-Yong Tang

“…In this paper, we propose a modified version of the hard thresholding pursuit algorithm, called modified hard thresholding pursuit (MHTP), using a convex combination of the current and previous points. …”
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A Survey of Nature-Inspired Meta-Heuristic Algorithms in Network Alignment by Anagh Awal, Farsuram Pandit

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