DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data by Yang Zhang, Shigong Long, Guangyuan Liu, Junming Zhang

“…An adaptive clustering algorithm is also proposed, which combines gradient quantile sparsification to amplify data characteristics to Ensure high-accuracy clustering results under the condition of high privacy guarantee. …”
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Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System by Zhengnan Lv, Zhenghao Xi

“…In this paper, we focus on the radio frequency (RF) link and user selection algorithm of 5G mobile communication system. Through the study of these two aspects, the RF link of our communication system has high stability and reliability, and through the study of the algorithm used for selection, our results also have a strong practical value.…”
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An algorithm for selecting competing regions based on localization coefficients (using the example of the Amur region) by Vasilyeva Angelica

“…The algorithm was tested on the statistical data of the country's entities. …”
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A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans. by Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, Stanislas Dehaene

“…Here, we tested the theory that human adults encode binary sequences of stimuli in memory using an abstract internal language and a recursive compression algorithm. The theory predicts that the psychological complexity of a given sequence should be proportional to the length of its shortest description in the proposed language, which can capture any nested pattern of repetitions and alternations using a limited number of instructions. …”
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Enhanced Design of a Hand Exoskeleton: Balancing Force Transmission and Actuation With Evolutionary Algorithms by Baris Akbas, Huseyin Taner Yuksel, Aleyna Soylemez, Mine Sarac, Fabio Stroppa

“…The optimization relies on a Genetic Algorithm, the Big Bang-Big Crunch Algorithm, and their versions for multi-objective optimization. …”
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Comparing and Predicting Hepatic Encephalopathy Complications Using Random Forest Algorithm in Active Men by Bakhtyar Tartibian, Leila Fasihi, Rasoul Eslami, Ahmad Fasihi

“…Results: There was no significant difference in predicting encephalopathy complications by random forest algorithm between active and inactive men. Also, this study showed that the random forest algorithm using 14 features is 76.2% and 75.5% accurate for diagnosing hepatic encephalopathy after liver transplantation in active and inactive men, respectively. …”
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Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling by Dejiang Wang, Bolong Liu, Haili Jiang, Panpan Liu

“…Path planning is a key technology in the automation of construction robots, and its implementation mainly relies on navigation algorithms and the generation of environment maps. However, the original A* algorithm has issues such as not considering dimensional constraints, a high number of turning nodes, and unsmooth paths. …”
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Comparison and Prediction of Breast Cancer Using Discriminant Analysis Algorithm in Active and Inactive Women by Leila Fasihi, Hamid Agha-Alinejad, Reza Gharakhanlou, Francisco J. Amaro Gahete

“…The results also showed that the differential analysis algorithm performs better in predicting breast cancer in active women.  …”
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Two-Dimensional Beam Selection by Multiarmed Bandit Algorithm Based on a Quantum Walk by Maki Arai, Tomoki Yamagami, Takatomo Mihana, Ryoichi Horisaki, Mikio Hasegawa

“…Through numerical analysis, we validate that the proposed method yields a greater channel capacity than that achieved not only by traditional MAB algorithms but also by an exhaustive search with overhead.…”
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Cybersecure XAI Algorithm for Generating Recommendations Based on Financial Fundamentals Using DeepSeek by Iván García-Magariño, Javier Bravo-Agapito, Raquel Lacuesta

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A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data by Ren-Jieh Kuo, Maya Cendana, Thi Phuong Quyen Nguyen, Ferani E. Zulvia

“…Therefore, the proposed Multivariate Fuzzy Weighted K-Modes with Probabilistic Distance for Categorical Data (MFWKM-PD) algorithm, based on the multivariate fuzzy K-modes algorithm, not only considers detailed membership calculations but also considers the varying contributions of attributes and their positions in distance calculation. …”
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A modified tubularised incised plate urethroplasty technique and a revised hypospadias algorithm by Bhattacharya Sameek

“…To simplify and standardize surgical management of hypospadias, a modified tubularised incised plate (TIP) urethroplasty (Snodgrass) technique has been described and a revised hypospadias management algorithm has been formulated. The study aims to evaluate the viability of the described procedure in different types of hypospadias and tests the validity of the algorithm. …”
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Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

“…A comparative analysis for each model is also made. From the analysis results, it shows that RFR, ANN, and SVR achieved coefficient of determination (R2) of 20%, 25%, and 35%, respectively. …”
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ANFIS algorithm for mapping computational data of water reservoir homogenization with air bubble flows by Lioua Kolsi, Iman Behroyan, Moustafa S. Darweesh, Badr M. Alshammari, T. Armaghani, Meisam Babanezhad

“…Therefore, the Gaussian membership function was used to have a prediction in the 3-D BCR. Also, the grid partition system was used to cluster the data. …”
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Comparative analysis of the performance of selected machine learning algorithms depending on the size of the training sample by Kupidura Przemysław, Kępa Agnieszka, Krawczyk Piotr

“…The results obtained for different images were consistent and clearly indicated an increase in classification accuracy with the increase in the size of the training sample. They also showed that among the tested algorithms, the XGB algorithm is the most sensitive to the size of the training sample, while the least sensitive is SVM, which achieved relatively good results even when using training samples of the smallest sizes. …”
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Development of the algorithm for selecting a rational regular urban route for electric bus operation by A. D. Gorbunova, O. Yu. Smirnova

“…Evaluation of five regular urban routes in Tyumen using the developed algorithm and the simulation model revealed three rational routes, and also showed the inefficiency of the other two. …”
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An Intelligent Carbon-Based Prediction of Wastewater Treatment Plants Using Machine Learning Algorithms by Anwer Mustafa Hilal, Maha M. Althobaiti, Taiseer Abdalla Elfadil Eisa, Rana Alabdan, Manar Ahmed Hamza, Abdelwahed Motwakel, Mesfer Al Duhayyim, Noha Negm

“…Contaminated water causes illness and health emergencies of public. Also, health risk due release of toxic contaminants brings problem to all living beings. …”
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Optimizing Electric Vehicle Charging with Moth Flame Control Algorithm of Boost-KY Converter by Santosh D. Gadekar, M. Murali

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Model-Free Attitude Control of Spacecraft Based on PID-Guide TD3 Algorithm by ZhiBin Zhang, XinHong Li, JiPing An, WanXin Man, GuoHui Zhang

“…The proposed PID-Guide TD3 algorithm has faster training speed and higher stability than the TD3 algorithm.…”
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Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State by Fazliddin Makhmudov, Dilmurod Turimov, Munis Xamidov, Fayzullo Nazarov, Young-Im Cho

“…This study not only emphasizes the need of deep learning in establishing dependable and practical driver monitoring systems, but it also lays the groundwork for future improvements, such as the incorporation of new behavioural and physiological measurements. …”
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