Research and Application of Rock Burst Hazard Assessment of the Working Face Based on the CF-TOPSIS Method by Feng Zhu, Haowei Song, Bingxiang Huang, Binxin Hu, Siqi Li, Guangdong Song, Hua Zhang, Tongyu Liu, Fuwu Ma

“…Based on these, the CRITIC objective weight algorithm model is established, and FAHP is used to optimize weighting factors to make the index weight of rock burst more reasonable, thus enhancing the accuracy of hazard assessment for working faces. …”
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Extreme Gradient Boosting Model with SMOTE for Heart Disease Classification by Ahmad Ubai Dullah, Aditya Yoga Darmawan, Dwika Ananda Agustina Pertiwi, Jumanto Unjung

“…Along with the development of technology, various models of machine learning algorithms and data processing techniques have been developed to find models that can produce the best precision in classifying heart disease. machine learning algorithm model in classifying heart disease, so that it can improve the effectiveness of diagnosis and help in determining the right treatment for patients. …”
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Fatigue assessment of a FSAE car rear upright by a closed form solution of the critical plane method by A. Chiocca, M. Sgamma, F. Frendo, F. Bucchi, G. Marulo

“…This paper presents and validates the proposed methodology, with reference to a rear upright of a FSAE car, which is characterized by a complex geometry and is subjected to non-proportional loading conditions. The efficient algorithm demonstrated a substantial reduction in computation time compared to the standard plane scanning method, while maintaining solution accuracy.…”
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Optimization Modeling and Empirical Research on Gasoline Octane Loss Based on Data Analysis by Ji Guo, Yujia Lou, Wanyi Wang, Xianhua Wu

“…Firstly, the data are screened and the high-dimensional data are reduced to construct the neural network prediction model optimized by genetic algorithm. After utilizing the model for prediction, the optimal operating condition is achieved. …”
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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

“…We designed an intelligent decision support system that employs machine learning (ML) to anticipate COVID-19 ICU admissions in Kuwait. Our algorithm examines several clinical and demographic characteristics to identify high-risk individuals early in illness diagnosis. …”
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Architecture of a recommendation service for choosing training areas at a higher education institution by applicants with the method of collaborative filtering of machine learning by A. M. Prokhorova

“…The article accomplished the following objectives: the architectural decomposition and description of the main components of the service are completed; a machine learning method is presented, including a collaborative filtering algorithm that is used in the service and allows to consider preferences and offers of other applicants with similar interests and educational profile; recommendations for choosing a user interface for convenient interaction with the service have been developed; test cases have been conducted to assess the effectiveness of the recommendation service. …”
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Applying Partial Power-Gating to Direction-Sliced Network-on-Chip by Feng Wang, Xiantuo Tang, Zuocheng Xing

“…The approach mainly involves a direction-slicing scheme, an improved routing algorithm, and a deadlock recovery mechanism. In the synthetic traffic simulation, the proposed design shows favorable power-efficiency at low-load range and achieves better performance than the conventional power-gated one. …”
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Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data by Qiuping Li, Hui Meng, Li Zhuo

“…Finally, the Q-learning algorithm is utilized to reconstruct vehicle travel paths between adjacent ALPR sensors based on the comprehensive reward function. …”
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Application of EMD-Based SVD and SVM to Coal-Gangue Interface Detection by Wei Liu, Kai He, Qun Gao, Cheng-yin Liu

“…By applying the SVD algorithm to the initial feature vector matrices, the singular values of matrices can be obtained and used as the input feature vectors of SVMs classifier. …”
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Antivaccine, denialist, and conspiracy theorist content on Facebook. An analysis of the No to the New World Order page by Julio C. Aguila Sanchez, Carmen Castillo Rocha, Ángel R. Vargas Valencia

“…Descriptive statistics were used for the analysis, the topic modeling technique, and the Latent Dirichlet Allocation algorithm. Results. Covid-19 was the main focus of the analysed posts (68%). …”
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Fault Detection and Diagnosis for Gas Turbines Based on a Kernelized Information Entropy Model by Weiying Wang, Zhiqiang Xu, Rui Tang, Shuying Li, Wei Wu

“…Finally, we introduce the information entropy based decision tree algorithm to extract rules from fault samples. The experiments on some real-world data show the effectiveness of the proposed algorithms.…”
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Pedestrian Comfort Analysis and Parameterized Optimization Design for Raised Floors by Juanli Guo, Haonan Liang, Jiehui Wang, Yijie Cao

“…The study then quantitatively assesses the pedestrian comfort of raised floors based on natural frequency and peak acceleration measurements, proposing an optimization design method using a multi-island genetic algorithm (MIGA). By adjusting parameters such as the support leg distance, beam shape, and support board surface layer thickness, an optimal balance between pedestrian comfort and heat transfer performance is achieved. …”
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High-Speed Current dq PI Controller for Vector Controlled PMSM Drive by Mohammad Marufuzzaman, Mamun Bin Ibne Reaz, Labonnah Farzana Rahman, Tae Gyu Chang

“…FPGA implementation of the overall controlling algorithm will certainly trim down the execution time significantly to guarantee the steadiness of the motor. …”
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A Jump Diffusion Model with Fast Mean-Reverting Stochastic Volatility for Pricing Vulnerable Options by Joy K. Nthiwa, Ananda O. Kube, Cyprian O. Omari

“…Our proposed model was fitted to S&P 500 Index by maximum likelihood estimation for the mean and volatility processes and Gillespie algorithm for the jump process. The best model was selected based on AIC and BIC. …”
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Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis by Simon Fong, Suash Deb, Raymond Wong, Guangmin Sun

“…Classification algorithms in traditional data mining approach offer fair accuracy by training a classification model with the full dataset, in batches. …”
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Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

“…We used a deep learning-based convolution neural network (CNN) classifier model to optimize the CNN algorithm parameter for better prediction. The enhanced particle swarm optimization (PSO) technique was used for optimization. …”
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Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit by Wenxin Li, Qiyuan Peng, Qinlin Li, Chao Wen, Yongxiang Zhang, Javad Lessan

“…To illustrate the model and solution methodology, the proposed model and solution algorithms are validated against train operation record from a URT line of Chengdu metro in China. …”
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A System on a Programmable Chip Architecture for Data-Dependent Superimposed Training Channel Estimation by Fernando Martín del Campo, René Cumplido, Roberto Perez-Andrade, A. G. Orozco-Lugo

“…This work describes a hybrid software-hardware FPGA implementation of a recent algorithm that belongs to the ST family, known as Data-dependent Superimposed Training (DDST), which does not need extra bandwidth for its training sequences (TS) as it adds them arithmetically to the data. …”
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Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar, Pabitra Kumar Biswas, Chiranjit Sain, Furkan Ahmad, Rishiraj Sarker, Taha Selim Ustun

“…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …”
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Optimal nutritional intake for fetal growth by Chanakarn Kiataramkul, Graeme Wake, Alona Ben-Tal, Yongwimon Lenbury

“…The best solution is determined by requiring minimum total intake under which the preassigned birth weight is reached. The algorithm has been generalized to the case where the fetal weight depends in a detailed way on the cumulative intake, suitably discounted according to the history. …”
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