Algorithms for the visual analysis of an environment by an autonomous mobile robot for area cleanup by M. E. Beliakov, S. A. K. Diane

“…The purpose of this work is to develop the underlying algorithmics for the vision system of robots executing area cleaning functions.Methods. …”
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Performance of Machine Learning Algorithms on Automatic Summarization of Indonesian Language Texts by Galih Wiratmoko, Husni Thamrin, Endang Wahyu Pamungkas

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PERFORMANCE COMPARISON OF CLASSICAL ALGORITHMS AND DEEP NEURAL NETWORKS FOR TUBERCULOSIS PREDICTION by Gilgen Mate Landry, Rodolphe Nsimba Malumba, Fiston Chrisnovi Balanganayi Kabutakapua, Bopatriciat Boluma Mangata

“…The sample is divided into two sets: 80% for training and 20% for testing. The algorithms evaluated include Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, Random Forest and Convolutional Neural Networks (CNN). …”
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Postpartum depression risk prediction using explainable machine learning algorithms by Xudong Huang, Lifeng Zhang, Chenyang Zhang, Jing Li, Chenyang Li

“…Feature selection was performed using LASSO regression and the Boruta algorithm. Eight machine learning algorithms were then employed to construct the prediction models. …”
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Research on the Virtual Coupling Technology for Urban Rail Transit Trains by YANG Weifeng, LEI Chengjian, HAN Chen, LI Qihe, XIE Xing

“…The virtual coupling of trains, based on multiple technologies, such as advanced wireless communication, sensor localization, and cooperative control, has been developed to control running speeds and headways between adjacent trains within a coordinated logical integrity, for the purpose of the control and dispatching organization of train fleets. …”
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Research on the robustness of the open-world test-time training model by Shu Pi, Xin Wang, Jiatian Pi

“…These attacks differ fundamentally from traditional poisoning attacks that occur during model training, as adversaries cannot intervene in the training process itself.MethodsIn response to this threat, we design a novel test-time poisoning attack method specifically targeting OWTTT models. …”
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The Successful Prediction of Waterflooding Using a Feed-Forward Algorithm by Qunazatul Shima Batubara*, Tomi Erfando

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Machine learning algorithms to predict the tensile strength of novel composite materials by S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati

“…This study develops machine learning (ML) models to predict NFRP tensile strength using publicly available datasets containing parameters such as epoxy group content, density, elastic modulus, curing agent amount, resin consumption, surface density, and matrix–filler ratio. Five regression algorithms such as polynomial regression, bagging regression, random forest, XGBoost, and gradient boosting were trained and evaluated using five-fold cross-validation and standard error metrics. …”
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Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms by Cihan Çakmakçı

“…The remaining predictors were then subjected to variable selection procedures using the Boruta algorithm. The results of Boruta confirmed the importance of the four predictors HW, BL, CW, and CD. …”
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Application of Decision Tree-Based Classification Algorithm on Content Marketing by Yi Liu, Shuo Yang

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DEVELOPMENT AND TESTING OF ALGORITHM FOR CALCULATION OF OPERATING PARAMETERS OF TRAWLING SYSTEMS by E. A. Zakharov, O. N. Kruchinin, D. L. Shabelsky

“…This algorithm and the program for calculation of operating parameters could be used for trawl designing, in accounting surveys to determine the trawl opening, and in educational process for training the industrial fishery scholars.…”
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DeCGAN: Speech Enhancement Algorithm for Air Traffic Control by Haijun Liang, Yimin He, Hanwen Chang, Jianguo Kong

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An improved elastic net clustering algorithm with dynamic parameter strategy by Junyan Yi, Maoming Wang, Changsheng Zhou

“…Moreover, the proposed IENDP algorithm is a self-organizing and self-learning algorithm that does not require manual guidance and training. …”
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Small-Target Detection Algorithm Based on STDA-YOLOv8 by Cun Li, Shuhai Jiang, Xunan Cao

“…Due to the inherent limitations of detection networks and the imbalance in training data, small-target detection has always been a challenging issue in the field of target detection. …”
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Machine Training of the System of Functional Diagnostics of the Shaft Lifting Machine by Dovbysh A. S., Zimovets V. I., Zuban Y. A., Prikhodchenko A. S.

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Neural network training to support decision making ON FOREX MARKET by V. A. Rybak, H. M. Sulaiman

“…The analysis confirmed the relevance of the application of neural networks for decision support in the Forex. Designed algorithm for creating trading signals and selected indicators will determine how the formation of the training sample. …”
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Optimization Design of Train-mounted Cabinet Based on FEM Simulation by ZHANG Chenlin, DING Jie, ZHU Mingjie, HU Changfa, ZENG Yunfeng

“…It put forward an optimal integrated design method for train-mounted cabinet, whose basic principle is using the structure simulation model. …”
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Application of optical flow method in metro train speed measurement by LYU Hongqiang, HUANG Tao, NIE Xingjia, CHEN Keyu, CAI Zhengkai, SHAN Qi

“…Subway speed is an important parameter of train control system. The traditional subway speed measurement methods have some defects. …”
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USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…The article is devoted to the disclosure of the peculiarities of the use of methodological tasks in the professional training of future teachers of computer science at higher education institutions. …”
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Algorithm for the calculation of the load capacity of the equipment of reverse traction networks by Vinnikova Elena, Smolin Pavel, Paranin Alexander, Tretiakov Vladislav

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