A comparative review of delumping algorithms by Sarsenova Adel, Mukhamedyanova Adelina, Kumarkhan Mariam

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Research review of federated learning algorithms by Jianzong WANG, Lingwei KONG, Zhangcheng HUANG, Linjie CHEN, Yi LIU, Anxun HE, Jing XIAO

“…In recent years,federated learning has been proposed and received widespread attention to overcome data isolated island challenge.Federated learning related researches were adopted in areas such as financial field,healthcare domain and smart city related application.Federated learning concept was introduced into three different layers.The first layer introduced the definition,architecture,classification of federated learning and compared the federated learning with traditional distributed learning.The second layer presented comparison and analysis of federated learning algorithms from machine learning and deep learning aspects.The third layer separated federated learning optimization algorithms into three aspects to optimize federated learning algorithm through reducing communication cost,selecting proper clients and different aggregation method.Finally,the current research status and three main challenges on communication,heterogeneity of system and data to be solved were concluded,and the future prospects in federated learning domain were proposed.…”
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Research on Physical Reliability Rendering Algorithm by Xingyu Wang, Lingzeng Meng

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COMPARATIVE ANALYSIS OF COLORING ALGORITHMS FOR ORDINARY WEIGHTED GRAPH by Andrey Sergeyevich Merzlenko, Valery Grigoryevich Kobak

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Utilizing Statistical Tests for Comparing Machine Learning Algorithms by Hozan Khalid Hamarashid

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Research and implementation of Turbo decoding SOVA algorithm by Wang Danfei, Song Junkang, Xia Huining

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Research on Sentiment Classification Algorithms on Online Review by Ruixia Yan, Zhijie Xia, Yanxi Xie, Xiaoli Wang, Zukang Song

“…In order to explore the classification effect of different sentiment classification algorithms, we conducted a research on Naive Bayesian algorithm, support vector machine algorithm, and neural network algorithm and carried out some comparison using a concrete example. …”
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COMPARATIVE MACHINE LEARNING ALGORITHM FOR CARDIOVASCULAR DISEASE PREDICTION by Ashish Mishra, Jyoti Mishra, Victor Hugo, Aloísio Vieira Lira Neto

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Comparative analysis of boosting algorithms for predicting personal default by Nhat Nguyen, Duy Ngo

“…This study conducts a comparative analysis of the performance of boosting algorithms, including AdaBoost, XGBoost, LightGBM, and CatBoost, in predicting personal defaults. …”
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Comparative Analysis of Machine Learning Algorithms for Antenna Alignments by Mohammad Al Bataineh, Dana I. Abu Abdoun, Mahmoud Al Ahmad

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Comparative analysis of machine learning algorithms for money laundering detection by Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali

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Comparative analysis of image hashing algorithms for visual object tracking by Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin

“…The objectives of the research include: developing and implementing object tracking based on the aHash, dHash, pHash, mHash, LHash, and LDHash algorithms; comparing the processing speed and accuracy of these methods on the video sequences "OccludedFace2," "David," and "Sylvester"; determining the tracking success rate (TSR) and frames per second (FPS) metrics for each algorithm; analyzing the impact of the search window size, search strategy, and type of hashing on tracking quality, and providing recommendations for their use. …”
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Research and application of flight trajectory data compression algorithm by YANG Yao, XIAO Yajuan

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Research on multi-bit decoding algorithms for polar codes by Zhouqing SHEN, Junna SHANG

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Research on multi-bit decoding algorithms for polar codes by Zhouqing SHEN, Junna SHANG

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Research on the Raft improved algorithm for anti-Byzantine nodes by WANG Xiaowei, LI Jie

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Comparative Studies of Reconstruction Algorithms for Sparse-View Photoacoustic Tomography by Xueyan Liu, Shuo Dai, Xin Wang, Mengyu Wang

“…Regularization methods assume a significant role in the sparse-view PAT inverse problem. This study compares six inverse source reconstruction methods based on Lp (0≤p≤2) regularization and investigates the effects of signal sampling quantity, measurement noise, and sparsity on the performance of the reconstruction algorithms through a series of numerical simulations. …”
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Comparative analysis of dehazing algorithms on real-world hazy images by Chaobing Zheng, Wenjian Ying, Qingping Hu

“…Neural augmentation algorithms, however, effectively combine the strengths of both approaches, offering a better overall solution. …”
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THE COMPARATIVE ANALYSIS OF THE APPROACHED ALGORITHMS OF THE DECISION OF THE MINIMAX PROBLEM FOR HOMOGENEOUS DEVICES by V.G. KOBAK, D.M. BUDILOVSKIY

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Comparative Analysis of Supervised Classification Algorithms for Residential Water End Uses by Zahra Heydari, Ashlynn S. Stillwell

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