A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
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A Deep Neural Network to Identify Vacuum Degrees in Vacuum Interrupter Based on Partial Discharge Diagnosis by Hong Nhung-Nguyen, Young-Woo Youn, Yong-Hwa Kim

“…The classification performance of the proposed method is significantly better than those of machine learning algorithms such as support vector machines and <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-nearest neighbor algorithm and the proposed method achieves an 100&#x0025; classification accuracy.…”
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A Classification of Basic Helix-Loop-Helix Transcription Factors of Soybean by Karen A. Hudson, Matthew E. Hudson

“…Using a hidden Markov model search algorithm, 319 genes with basic helix-loop-helix transcription factor domains were identified within the soybean genome sequence. …”
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A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements by Zhixin Liu, Yongjun Zhao, Dexiu Hu, Chengcheng Liu

“…The novel method firstly uses the steepest descent algorithm to obtain a proper initial value of source position and velocity. …”
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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

“…Finally，the initial Kriging model is updated with MP （minimizing the predicted objective function） infill-sampling criterion and genetic algorithm，and the optimal design is obtained via the final Kriging model. …”
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An efficient technique to study of time fractional Whitham–Broer–Kaup equations by Nishant Bhatnagar, Kanak Modi, Lokesh Kumar Yadav, Ravi Shanker Dubey

“…Homotopy polynomials are employed to address nonlinear terms, and the introduced algorithm incorporates the auxiliary parameter [Formula: see text] to regulate and fine-tune the convergence region of the resulting series solution. …”
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Fault Detection, Isolation, and Accommodation for LTI Systems Based on GIMC Structure by D. U. Campos-Delgado, E. Palacios, D. R. Espinoza-Trejo

“…In order to improve the performance after a fault, the compensation is considered in two steps according with a fault detection and isolation algorithm. After a fault scenario is detected, a general fault compensator is activated. …”
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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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Retrieving and Identifying Remnants of Artefacts on Local Devices Using Sync.com Cloud by Abdulghani Ali Ahmed, Khalid Farhan, Mohd Izuan Hafez Ninggal, Ghadir Alselwi

“…The proposed technique is implemented and tested by applying a forensics investigation algorithm on Sync.com cloud storage using the Microsoft Windows 10 operating system.…”
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A Fault Feature Extraction Method of Rolling Bearings Based on Optimized VMD and UMAP by Liu Junli, Miao Bingrong, Zhang Ying, Li Yongjian, Huang Zhong

“…Using the recognition accuracy of three commonly used intelligent algorithm and the ratio of intra-class cosine distance and inter-class cosine distance in the tested feature set as evaluation indexes, the results show that the method not only achieves effectively extract features of various bearing failures, but also has good noise immunity, which is of certain reference value for the feature extraction in the practical bearing fault diagnosis.…”
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Real-Time Adaptive Tractor Ride Comfort Adjustment System Based on Machine Learning Method by Hu Tian, Anping Ji

“…Additionally, the Particle Swarm Optimization (PSO) algorithm is employed to recommend optimal operational parameters, reducing the ride comfort value (OVV) by 6.67% in real-time experiments. …”
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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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