Bibliometric Analysis of Medical Waste Research Using Python-Driven Algorithm by Ilie Cirstea, Andrei-Flavius Radu, Delia Mirela Tit, Ada Radu, Gabriela Bungau, Paul Andrei Negru

“…Data visualization and analysis were carried out with software such as VOSviewer version 1.6.20 and Bibliometrix 5.0.0, along with custom Python 3.12.3 thesaurus files to standardize terminology. …”
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Methods of Screening for Meibomian Gland Dysfunction by V. N. Trubilin, E. G. Polunina, E. Yu. Markova, D. V. Andzhelova, S. V. Kurenkova, L. Yu. Bezmel’nitsyna

“…Firstly, it is caused by changing of the perception about the prevalence of this disease, according to various data it is from 40 to 71% of the population in different age groups. …”
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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

“…The efficacy of the proposed model was validated using a randomly selected, previously unused subset of data and assessed through various evaluation metrics. …”
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A hybrid LSTM-transformer model for accurate by Tianren Zhao, Yanhui Zhang, Minghao Wang, Wei Feng, Shengxian Cao, Gong Wang

“…Data preprocessing is performed using standardization and Yeo-Johnson transformation. …”
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An automation monitoring system for the production facility work by Артем Бронніков, Альона Коломієць, Олег Юрченко

“…A monitoring system control program for the main control module was developed and the principle of its operation and a graphic user interface image were given. Also, for visualization of data from the database, the software code for creating the graph and the graphical user interface were given and described. …”
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CIS Countries Foreign Economic Activity — from Challenges to New Opportunities by M. S. Goncharov

“…Methods of aggregation, comparison, retrospective, and indicative analysis were applied to the data. Graphical representation of indicators allowed for visualization of key trends in the studied metrics, calculated from data provided by the Interstate Statistical Committee of the CIS, the World Bank, UNCTAD, and the Brookings Institution.Results. …”
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Navigating the landscape of AI literacy education: insights from a decade of research (2014–2024) by Yuqin Yang, Ying Zhang, Daner Sun, Wenmeng He, Yantao Wei

“…This study addresses that gap by mapping the current landscape, tracing its evolution, and identifying key themes through a bibliometric analysis of research from 2014 to 2024, utilizing CiteSpace for data visualization and analysis. This study systematically selected 335 relevant articles from databases, including Web of Science Core Collection, Scopus, and Science Direct, following PRISMA guidelines. …”
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CLIMATE CHANGE DETECTION IN FOUR LOCATIONS IN PENINSULAR MALAYSIA FOR GREEN SUSTAINABILITY AWARENESS by Noor Kesuma Mohd Yazid, Norshahida Shaadan, Firdaus Mohamad Hamzah, Nurain Ibrahim, Mahayaudin M.Mansor

“…Data on monthly average temperature and rainfall amount for the 30 years between 1989 and 2018 was obtained from the Department of Meteorology in Petaling Jaya. …”

Application of Artificial Intelligence for the Implementation of Mismatch Negativity Potential Algorithms in Industrial Automated Predictive Maintenance Systems by Alexander Yu. Chesalov

“…It consists of modules of data verification, model training, anomaly detection, predictive model, visualization and module of integration with other industrial information and automated systems. …”
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YOLOv8 framework for COVID-19 and pneumonia detection using synthetic image augmentation by Uddin A Hasib, Raihan Md Abu, Jing Yang, Uzair Aslam Bhatti, Chin Soon Ku, Lip Yee Por

“…Synthetic data generation effectively reduced class imbalance and improved recall for underrepresented classes. …”
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Animal Wellness: The Power of Multiomics and Integrative Strategies by Ratan Kumar Choudhary, Sunil Kumar B. V., Chandra Sekhar Mukhopadhyay, Neeraj Kashyap, Vishal Sharma, Nisha Singh, Sina Salajegheh Tazerji, Roozbeh Kalantari, Pouneh Hajipour, Yashpal Singh Malik

“…Initiatives like MiBiOmics, which facilitate the visualization, analysis, integration, and exploration of multiomics data, are expected to improve prediction accuracy and identify robust biomarkers linked to animal health. …”
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IITA’s genebank, cowpea diversity on farms, and farmers’ welfare in Nigeria by Abel-Gautier Kouakou, Ademola Ogundapo, Melinda Smale, Nelissa Jamora, Julius Manda, Michael Abberton

“…A cross-sectional household survey was conducted to collect data from 1524 cowpea-producing households. In addition, “Helium”, a multi-platform pedigree visualization tool with phenotype display was used to gather information about improved cowpea breeding lines and their pedigrees. …”
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Thermal Footprint of the Urbanization Process: Analyzing the Heat Effects of the Urbanization Index (UI) on the Local Climate Zone (LCZ) and Land Surface Temperature (LST) over Two... by Nadia Falah, Jaime Solis-Guzman, Nahid Falah

“…A comprehensive methodology that integrates statistical analysis, data visualization, machine learning, and advanced techniques, such as remote sensing technology and geospatial analysis systems, is employed. …”
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Cuproptosis as a therapeutic target in cancer: a Systematic Review and bibliometric analysis of the research landscape by Chuhan Jiang, Huizhen Xin, Huizhen Xin, Yuhang Liu, Yangyang Han, Yangyang Han

“…We use this data for visualization analysis and made knowledge maps including authors, countries, institutions, journals, and keywords.Results1140 literature was obtained from Web of Science from 2001 to 2024. …”
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Influence Mechanism of Kunming Metro Station Built Environment on Passenger Flow Based on the Comparison between Working Days and Rest Days by LI Zhibo, ZHANG Lili, HE Baohong, GUO Jinghui

“…［Method］Using Kunming Rail Transit AFC (automatic fare collection) card swiping data and POI (point of interface) data, the passenger flow of the stations is subdivided into generated passenger flow and attracted passenger flow two types. …”
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Opportunity, Challenges and Approaches of Multivariate Diversity Analysis for Quantitative Traits of Pulse Crops: A Review by Nuru Seid TEHULIE, Fikru MEKONNEN, Agegnehu MEKONNEN, Ahmed HASSEN, Semira EBRAHIM, Solomon ABEBE

“…D2 statistics and Principal Component Analysis (PCA) are commonly used to interpret morphological data due to their ease of interpretation. R software is a valuable tool in statistical analysis and data visualization, thanks to its adaptability. …”
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Most vulnerable diet and health profiles: identifying countries at risk through a three-theme clustering by Ahmet Murat Günal, Salim Yılmaz, Sedat Arslan

“…The Jaccard similarity coefficient was used to evaluate cluster overlap, and statistical significance was assessed through robust regression models and the Kruskal–Wallis H test. Data processing and visualization were performed using RStudio.ResultsThe analysis identified Cluster 3 as the most vulnerable group, comprising 45 countries with high similarity across all three themes. …”
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The use of fluorescence spectroscopy in combination with fluorescence vizualization for cystoscopy by А. А. Teplov, E. V. Filonenko, B. Ya. Alekseev, R. V. Ulianov, Yu. Yu. Andreeva

“…The method of fluorescence visualization of bladder tumors combined with fluorescence spectroscopy developed in P.A. …”
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Integrating Digital Twins of Engineering Labs into Multi-User Virtual Reality Environments by Nicolás Norambuena, Julio Ortega, Felipe Muñoz-La Rivera, Mario Covarrubias, José Luis Valín Rivera, Emanuel Ramírez, Cristóbal Ignacio Galleguillos Ketterer

“…Additionally, the use of real-time data visualization and digital twins provides a safer, more interactive, and efficient alternative to traditional laboratory practices, overcoming constraints like time limitations and equipment availability. …”
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4D Digital Integration for Nanomaterial-Based Monitoring and Treatment of Bridge Piers Defects by Ghazy Abdullah Albaqawy, Mabrouk Touahmia, Mustapha Boukendakdji, Abderrahmane Ouazir, Abdulaziz Mansour, Ahmed Sallam, Mohamed Saleh Sedek

“…The model promotes precise data preparation, navigation, visualization, integration, and monitoring, enabling the identification of defects, like material deterioration, condition changes, and structural clashes in components like trusses. …”
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