An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

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A Modified Grey Wolf Algorithm with Applications to Engineering by Vahid Mahboub

“…The grey wolf algorithm is one of the meta-heuristic optimization methods that has recently been widely used by researchers due to its good capabilities. …”
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Enhanced Tunicate Swarm Algorithm for Big Data Optimization by Emine Baş

“…One of them is metaheuristic algorithms. Meta-heuristic methods, which have been used by very few researchers yet, have become increasingly common. …”
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Parallel lightweight Block Cipher algorithm for Multicore CPUs by Hawraa J. Hamiza, Ahmed Fanfakh

“…The average speedup compared to the sequential version of the proposed algorithm and its parallel implementation is 4.70. …”
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An optimal L∞-PLA algorithm for trajectory data compression by ZHAO Huanyu, SUN Guohao, LI Tongliang, YANG Jian, PANG Chaoyi

“…To attack this issue, data compression technology based on piecewise linear approximation (PLA), which is simple and intuitive, less compression storage and faster data transmission, has been widely researched. Currently, the optimal online PLA algorithm can not effectively compress multi-dimensional trajectory data. …”
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Survey of federated learning research by Chuanxin ZHOU, Yi SUN, Degang WANG, Huawei GE

“…Federated learning has rapidly become a research hotspot in the field of security machine learning in recent years because it can train the global optimal model collaboratively without the need for multiple data source aggregation.Firstly, the federated learning framework, algorithm principle and classification were summarized.Then, the main threats and challenges it faced, were analysed indepth the comparative analysis of typical research programs in the three directions of communication efficiency, privacy and security, trust and incentive mechanism was focused on, and their advantages and disadvantages were pointed out.Finally, Combined with application of edge computing, blockchain, 5G and other emerging technologies to federated learning, its future development prospects and research hotspots was prospected.…”
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MODEL OF ADAPTIVE VECTOR CONTROL OF STOCHASTIC HYBRID CACHING ALGORITHM by Alexander I. Zhukov

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Genetic Algorithm for Finding the Global Forcing‎ ‎Number‎ ‎of‎ ‎Bipartite‎ ‎Graphs by Sara Oskoueian, Mostafa Tavakoli, Narjes Sabeghi

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ACOFuzz: An ant colony algorithm-based fuzzer for smart contracts by Peixuan Feng, Wenrui Cao, Siqi Lu, Yongjuan Wang, Haoyuan Xue, Runnan Yang

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Algorithm for Processing X-ray Images Using Fuzzy Logic by A. S. Mannaa

“…The results generated by the new system and previous versions of X-ray image processing programs were compared.Results. An algorithm for constructing reference lines and angles for processing knee joint X-ray images is created, described, and implemented in practice. …”
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Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods by Kalina Kitova, Ivan Ivanov, Vincent Hooper

“…This comparative study offers a detailed evaluation of algorithmic methodologies and outcomes from three recent prominent studies on stroke prediction. …”
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Research on GNNs with stable learning by Wenbin Li, Wenxuan Wei, Peiyang Wang, Li Pan, Bo Yang, Yanling Xu

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FEATURES OF COMPARATIVE APPROACH TO ASSESSMENT OF THE ACQUIRED COMPANY by Olga A. Romanenko

“…As a result of research the contents and an analysis algorithm of each stage are in detail stated for objectivity of receiving the effective final result. …”
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Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis by Salman Mahmood, Nor Adnan Yahaya

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Comparative characteristics of the main phenotypes of systemic sclerosis by R. U. Shayakhmetova, L. P. Ananyeva, M. N. Starovoitova, O. V. Desinova, O. A. Koneva, O. B. Ovsyannikova, L. A. Garzanova, M. V. Cherkasova, R. T. Alekperov

“…Further study of anti-U1RNP-positive SS will be able to create a management algorithm and to more clearly define the risks and prognosis of the disease for this group of patients.…”
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COMPARATIVE CHARACTERISTICS OF AUTOTRANSPLANTS FOR THE TREATMENT OF ORBITAL DAMAGES by D.S. Avetikov, D.V. Steblovskyi, O.P. Buhanchenko, V.M. Havryliev, I.V. Boyko, K.P. Lokes

“…Today, the literature contains contradictory data on the comparative characteristics and choice of materials for orbital reconstruction, their advantages and disadvantages, which determined the chosen direction of research. …”
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Comparing the Indices predictive of the thermal injury outcome by E A. Zhirkova, T. G. Spiridonova, A. V. Sachkov, A. O. Medvedev, E. I. Eliseenkova, I. G. Borisov, M. L. Rogal, S. S. Petrikov

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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“… This paper aimed to investigate human emotion recognition through the analysis of facial expressions, using both classical machine learning methods and advanced techniques based on deep neural networks. The research compares the performance of classical machine learning algorithms (such as K-Nearest Neighbors, Gaussian Naive Bayes, Support Vector Machines, Adaptive Boosting, Decision Tree, and Random Forest) with the modern deep learning methods (such as Convolutional Neural Networks, Deep Neural Networks, and Recursive Neural Networks) using standardized datasets. …”
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Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…This study will demonstrate numerous previous honeyword generating strategies, describe the proposed methodology, examine the experimental results, and compare the new honeyword production method to those proposed in previous research. …”
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A Comparative Evaluation of Recommender Systems Tools by Ayoub Akhadam, Oumayma Kbibchi, Loubna Mekouar, Youssef Iraqi

“…Furthermore, the paper presents a concise overview of various ML algorithms to generate recommendations, reviews the most used performance metrics to evaluate RS, and then compares several ML algorithms provided by four popular recommendation tools: Microsoft Recommenders, Lenskit, Turi Create, and Cornac.…”
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