Digital health implementation in Australia: A scientometric review of the research by Michelle A. Krahe, Sarah L. Larkins, Nico Adams

“…This study provides a comprehensive overview of digital health implementation research in Australia, employing scientometric analysis and data visualization. We assess the existing knowledge base, identify key research areas and frontier trends, and explore their implications for healthcare delivery in rural and remote settings. …”
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Supersonic Pulse-Jet System for Filter Regeneration: Molecular Tagging Velocimetry Study and Computational Fluid Dynamics Validation by Giancarlo Lenci, Charles Fort, Matthieu A. André, Victor Petrov, Ryan E. Jones, Chuck R. Marks, Philippe M. Bardet

“…Although previous CFD validation efforts for pulse-jet systems have relied on static pressure measurements, this work expands the validation data using high-resolution flow visualization and velocimetry techniques. …”
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Revitalizing rural tourism through collaborative community participation in Mandalika MotoGP Mega event by Anas Pattaray, Amirosa Ria Satiadji, Ayu Gardenia Lantang

“…To achieve the objective of this reason. a qualitative approach, incorporating literature reviews, observations, in-depth interviews, and Focus Group Discussions (FGDs) was adopted, with key stakeholders, including village heads, tourism awareness groups, community leaders, and tourism professional. Furthermore, data were generated using ChatGPT and analyzed through R Studio application for data visualization, ensuring comprehensive insights. …”
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Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model by Zhikai Xing, Yongbao Liu, Qiang Wang, Junqiang Fu

“…Experimental results demonstrate that this data visualization method extracts more fault-related information compared to traditional time-domain and frequency-domain techniques, without the need to augment the sample size. …”
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Kinetic analysis demonstrates a requirement for the Rat1 exonuclease in cotranscriptional pre-rRNA cleavage. by Konstantin Axt, Sarah L French, Ann L Beyer, David Tollervey

“…This was confirmed by EM visualization of "Miller" chromatin spreads of nascent pre-rRNA transcripts. …”
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Blockchain-based privacy-preserving multi-tasks federated learning framework by Yunyan Jia, Ling Xiong, Yu Fan, Wei Liang, Neal Xiong, Fengjun Xiao

“…Federated learning (FL), as an effective method to solve the problem of “data island”, has become one of the hot and widespread concern topics in recent years. …”
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Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning by Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo

“…Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature extraction. …”
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Deep Learning-Based Waste Classification with Transfer Learning Using EfficientNet-B0 Model by Risfendra Risfendra, Gheri Febri Ananda, Herlin Setyawan

“…Visualization of predictions demonstrates that the model effectively classifies waste in new test data. …”
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis by Zeyu Chen, Zheng Lin, Zihan Lin, Qi Zhang, Haoyun Zhang, Haiwen Li, Qing Chang, Jianqi Sun, Feng Li

“…Recently, several studies attempted to build prognostic models by extracting predictive variates from pulmonary function data, basic information, or chest computed tomography (CT) and CT-derived parameters with clinical characteristics. …”
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FSOSM: An Operational Knowledge Empowered Scenario Model for the Intelligent Farmland Supervision by Jiacheng Xu, Xuesheng Zhao, Bingliang Cui

“…First, by analyzing the elements, structure, and functions of farmland supervision business scenario, the paper abstracts “natural resources—human society—spatiotemporal data” into 8 categories of scenario elements and 22 types of multidimensional semantic relationships. …”
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Malignant Neurofibroma (Neurogenic Sarcoma) of the Mammary Gland (Clinical Case Description) by Kens А., Kens А.-М.

“…The clinical examination of the disease, the data of the visualization methods of diagnosis (ultrasonography, mammography) and the morphological (cytological and histological) study of biopsy samples gave grounds to suspect the patient’s presence of a wide range of possible diseases: malignant fibroadenoma, myofibroblastoma, nodular fasciitis. …”
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A Fault Diagnosis Method for Dry Vacuum Pump Bearing Based on Finite Element Simulation With Deep Transfer Learning by Yanfeng Wei, Haibin Liu, Min Wei, Mingfei Li

“…Traditional fault diagnosis methods face challenges due to difficult data collection and inconsistent working conditions. …”
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A Hybrid Compact Convolutional Transformer with Bilateral Filtering for Coffee Berry Disease Classification by Biniyam Mulugeta Abuhayi, Andras Hajdu

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Dynamics of contractile function of the left atrium in patients, suffering ischemic mitral regurgitation by S. I. Musayev, E. F. Gurbanov

“…There were following criteria of selection: the Degrees I-III of ischemic mitral regurgitation by echocardiographic data, angiographically revealed an ischemic heart disease, demanding surgical revascularization, the sinus rhythm with the heart rate frequency from 60 to 89 in 1 minute, the improved echocardiographic visualization of the left atrium endocardium. …”
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Global Trends in Studies on the Presence of Demodex spp in Patients Diagnosed with Blepharitis by Rahmi Yildiz, Milad Afşar, Sadi Elasan

“…In this study, analysis using text mining and data visualization techniques (bubble maps and graphs) helped to make the results more understandable. …”
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Spatial distribution of tidal flooding in the coastal areas of Demak Regency, Central Java by Adnan Bayu, Endriani Arhatin Risti, Lumban-Gaol Jonson, Budi Susilo Setyo

“…The methods used included Differential Interferometry Synthetic Aperture Radar (DInSAR) for Land Subsidence (LS), supervised classification for land use, admiralty for tides, data visualization for elevation, linear regression analysis for SLR, meteorological data analysis for wind and rainfall, and spatial analysis for tidal flood inundation mapping. …”
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An Automatic Framework Recognizing the Relationships of Cultural Heritage by Zizhan Zhang, Zijun Zhou, Yingchun Cao

“…We construct the Cultural Heritage Relationship Evaluation Framework (CHREF), framework using the structure of “FSM + PCA + HCA”, which offers a workflow characterized by interpretability, visualization capabilities, and automation. The framework utilizes the FSM module to transform the research subjects into matrices, employing PCA and HCA to obtain intuitive charts and reliable data results with minimal manual intervention. …”
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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

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Smart IoT-enabled Solar Power Supervision and Regulation System by Shib Sowrov Komar, Rahman Md. Tanvir, Dipto Durjoy Roy, Shufian Abu, Zishan Md. Saniat Rahman, Basak Rinku, Mannan Md. Abdul

“…Collected data is transmitted to the ThingSpeak platform for storage, visualization, and analysis, enabling intelligent decision-making. …”
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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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