Variable Selection Algorithm for Explaining Anomalies in Real-World Regenerative Thermal Oxidizers by Min-Ji Seo, Myung-Ho Kim

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Intelligent control algorithms for posture and height control of four-leg hydraulic supports by Yihui Pang, Yaoyu Shi

“…This approach transforms the traditional geometric relationship solutions of the main structure of the hydraulic supports into solutions based on the coordinate relationships of the main hinge points of the support, resulting in a mathematical expression for solving the support posture and height of the hydraulic supports. …”
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Research on neuromorphic vision sensor and its applications by Yongsheng SANG, Renhao LI, Yaoqian LI, Qiangwei WANG, Yao MAO

“…Neuromorphic vision sensor is a biologically inspired artificial neural system that mimics algorithmic behavior of biological vision systems,which has numerous advantages over standard vision sensors,such as high temporal resolution,low latency,low power,high dynamic range,etc.At first,a brief introduction to neuromorphic engineering,neuromorphic chips,and vision sensors was given.Then the main computing methods for neuromorphic vision were reviewed,including probability and statistics,spiking neural network and deep neural network.Finally,several kinds of applications based on neuromorphic vision sensors were given,such as simultaneous localization and mapping (SLAM),image reconstruction (IR),etc.A review of hardware,computing methods and applications for neuromorphic vision sensors was given,which provided a comprehensive reference for researchers.…”
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Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm by Hui Li

“…Experimental results show that the algorithm can successfully extract the main content of the article from a wide variety of web pages. …”
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Modern Tanscriptome Data Rrocessing Algorithms: a Review of Methods and Results of Approbation by M. V. Sprindzuk, L. V. Mozharovskaya, A. P. Konchits, L. P. Titov

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Modern Tanscriptome Data Rrocessing Algorithms: a Review of Methods and Results of Approbation by M. V. Sprindzuk, L. V. Mozharovskaya, A. P. Konchits, L. P. Titov

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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…To automate the detection of phytoplankton distribution areas, a computer vision algorithm based on the U-Net CNN was developed. The model was evaluated by the calculated values of the main quality metrics related to segmentation tasks. …”
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Design and Construction of Multimedia Smart English Teaching Platform Based on RBF Algorithm by Qianbo Li

“…The practice has proved that the method proposed in this paper is effective and has certain research value and positive significance for the research on English teaching.…”
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An improved YOLOv5n algorithm for detecting surface defects in industrial components by Jia-Hui Tian, Xue-Feng Feng, Feng Li, Qing-Long Xian, Zhen-Hong Jia, Jie-Liang Liu

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Problems of Algorithms Development to Determine Quality of Topic Models Ensembles for Make Rubricators by A. P. Shiryaev, A. R. Fedorov, P. A. Fedorov, L. G. Gagarina, E. M. Portnov

“…The concept for quality evaluation of thematic models ensemble, which uses the simple voting algorithm, was explored and proposed for further researches.…”
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Prognostic algorithm for early diagnosis of subcritical conditions as predictors of sudden cardiac death by A. V. Bykov, P. S. Azarova, S. A. Parkhomenko, A. V. Bykov, A. V. Polyakova, M. V. Alymova, A. V. Vinnikov

“…In parallel with standard protocols for the management of severe somatic patients (chronic obstructive pulmonary disease, chronic kidney disease, hepatocellular failure), based on the proposed algorithm with an integral assessment of critical conditions, using the MCA decision rule in the main group in 30,5% of cases, subcritical stage was revealed, followed by targeted treatment and preventive support. …”
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Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm by Baik Budi, Muhammad Ilhamdi Rusydi, Reivan Arya Witama, Queen Hesti Ramadhamy, Refki Budiman

“…Data set for this research is public dataset from Kaggle. The main goal of the research is to develop an accurate and efficient predictive model. …”
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Comprehensive Analysis of Lightweight Cryptographic Algorithms for Battery-Limited Internet of Things Devices by Nahom Gebeyehu Zinabu, Yihenew Wondie Marye, Kula Kekeba Tune, Samuel Asferaw Demilew

“…The study’s conclusion emphasizes how urgently more research is needed to create cryptographic solutions that can sufficiently safeguard IoT devices.…”
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Parameter Extraction of Photovoltaic Cells and Panels Using a PID-Based Metaheuristic Algorithm by Aseel Bennagi, Obaida AlHousrya, Daniel T. Cotfas, Petru A. Cotfas

“…This paper presents a new metaheuristic algorithm for extracting parameters from photovoltaic cells using the functionality of the PID-based search algorithm (PSA). …”
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A Systematic Review of Mind Maps, STEM Education, Algorithmic and Procedural Learning by Chrysovalantis Kefalis, Constantine Skordoulis, Athanasios Drigas

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A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking by Mario Rodriguez-Arozamena, Jose Matute, Javier Araluce, Lukas Kuschnig, Christoph Pilz, Markus Schratter, Joshue Perez Rastelli, Asier Zubizarreta

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Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms by Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi

“…Identifying the parameters of a triple-diode electrical circuit structure in PV modules is a critical issue, and it has been regarded as an important research area. Accordingly, in this study, a differential evolution algorithm (DEA) is hybridized with an electromagnetism-like algorithm (EMA) in the mutation stage to enhance the reliability and efficiency of the DEA. …”
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Neighborhood conditional mutual information entropy attribute reduction algorithm for hybrid data by Haibo LAN

“…Attribute reduction is an important research content of the rough set theory.Its main purpose is to eliminate irrelevant attributes in information systems, reduce data dimensions and improve data knowledge discovery performance.However, most of the attribute reduction methods based on a rough set do not consider the dependence between attributes, which makes the final attribute reduction result have some redundant attributes.An attribute reduction algorithm based on neighborhood conditional mutual information entropy was proposed.Firstly, based on the traditional neighborhood entropy, a hybrid neighborhood mutual information entropy model and a hybrid neighborhood conditional mutual information entropy model were proposed for hybrid data.Then, the two entropy models were used to evaluate the attribute dependence and attribute heuristic search of the hybrid information system, and an attribute reduction algorithm was designed.Finally, through the experimental analysis of UCI data sets, it was proved that the algorithm had higher attribute reduction performance.…”
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A better iterative algorithm for fixed-point problem in Banach spaces with application by Wakeel Ahmed, Shahid Zaman, Tamseela Ashraf, Asma Raza

“…In this research article, we explore convergence results within the framework of Banach spaces by focusing on a specific iterative scheme, namely the T-iterative algorithm (TIA). …”
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Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems by Lidia Forlenza, Giancarmine Fasano, Domenico Accardo, Antonio Moccia

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