Prediction and Assessment of Myocardial Infarction Risk on the Base of Medical Report Text Collection by Margaryta Prazdnikova

“…This paper explores an approach to predicting heart attack risk based on analysis of text data of medical reports using machine learning. The purpose of the article is to demonstrate how the application of machine learning, particularly the Naive Bayes classifier, can enhance the prediction of myocardial infarction risk through the analysis of extensive medical data. …”
Get full text

Four‐Dimensional Mapping of Sea Temperature and Salinity in the Coastal Waters Based on Generalized Spatio‐Temporal Autoregressive Neural Network by Minyu Wang, Junyu He, Jin Qi, Sheng Huang, Renyi Liu, Sensen Wu, Zhenhong Du

“…Fully analyzing the 4‐dimensional distribution of observation data, especially the changes over time and depth, allows for a broader and deeper application of marine data mining. …”
Get full text

POI recommendation by deep neural matrix factorization integrated attention-aware meta-paths by Xiaoyan Li, Shenghua Xu, Hengxu Jin, Zhuolu Wang, Yu Ma, Xuan He

Get full text

Unveiling the immune microenvironment of complex tissues and tumors in transcriptomics through a deconvolution approach by Shu-Hwa Chen, Bo-Yi Yu, Wen-Yu Kuo, Ya-Bo Lin, Sheng-Yao Su, Wei-Hsuan Chuang, I.-Hsuan Lu, Chung-Yen Lin

“…The toolkit and web application are freely available for the research community, providing enhanced resolution for conventional bulk RNA sequencing data and facilitating the analysis of immune microenvironment responses in immunotherapy. …”
Get full text

Effect of Garlic Organic Sulfides on Gene Expression Profiling in HepG2 Cells and Its Biological Function Analysis by Ingenuity Pathway Analysis System and Bio-Plex-Based Assays by Chenghao Lv, Caiqiong Wang, Ping Li, Yiwen Huang, Xiangyang Lu, Meng Shi, Chaoxi Zeng, Si Qin

“…RT-qPCR results indicated that the microarray data is trustworthy, and the structure-activity analysis data found that more sulfur atoms have more powerful properties; thus, microarray data of DTS was preceded to the subsequent IPA analysis. …”
Get full text

A review on WSN based resource constrained smart IoT systems by Shreeram Hudda, K. Haribabu

“…Data collected by each cluster head is temporarily buffered before being transmitted to the sink via multi-hop communication. …”
Get full text

Random vibration study of cold rolling mill excited by different morphology of strip surface by Sun Weiquan, Yan Xiaoqiang, Wang Shen, Xuan Lijian, Yun Weijing, Chen Yuchen

“…The slicing method observes the internal vibration amplitude distribution of the key components of the cold rolling mill, showing the phenomenon of “small in the middle and large at the end”. The application of the random function of Gaussian distribution provides a new method for the expression of slab morphology, and also provides a data basis for excitation of random vibration in cold continuous rolling mill. …”
Get full text

Predictive Model of Granular Fertilizer Spreading Deposition Distribution Based on GA-GRNN Neural Network by Lilian Liu, Guobin Wang, Yubin Lan, Xinyu Xue, Suming Ding, Huizheng Wang, Cancan Song

“…The results validate the reliability of the data superposition method for particle deposition distribution and the feasibility of the GA-GRNN model in multifactor prediction, which provides a theoretical basis and practical guidance for precision fertilizer application operations using agricultural UAVs.…”
Get full text

Nurses, Knowledge Concerning an Implantation Pacemaker For Adult Patients with Cardiac Rhythm Disorder at Al-Nassirrhyia Heart Center by Hussein Hadi Atiyah, Haithem Mohammed

“…Reliability and validity of questionnaire was determined through test re-test (r= 0.82) of pilot study. The data collection process was performed of 15th of March until the 5th of May 2015.the data was analyzed through the application of descriptive statistical analysis that include (frequency, Percentages [%] and cumulative percent, Mean of scores ), and the application of inferential statistical analysis that included the person correlation coefficient. …”
Get full text

DBSCAN-PCA-INFORMER-Based Droplet Motion Time Prediction Model for Digital Microfluidic Systems by Zhijie Luo, Bin Zhao, Wenjin Liu, Jianhua Zheng, Wenwen Chen

“…As chip usage frequency rises, device degradation introduces seasonal and trend patterns in droplet motion time data, complicating predictive modeling. This paper first employs the density-based spatial clustering of applications with noise (DBSCAN) clustering algorithm to analyze the droplet motion time data in digital microfluidic systems. …”
Get full text

Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…The research results of this paper further improve the efficiency of the neural network model and maintain the accuracy of data, which not only meets the needs of highway subgrade detection but also promotes the application of large-scale image processing technology. …”
Get full text

Visualisation de données issues des réseaux sociaux : une plateforme de type Business Intelligence by Maxime Masson, Christian Sallaberry, Marie-Noëlle Bessagnet, Annig Le Parc Lacayrelle, Philippe Roose, Rodrigo Agerri

“…Its application has been tested in the field of tourism using Twitter data (today known as X) but it is designed to be generic and adaptable to multiple domains. …”
Get full text

SOFTWARE SHELL FOR DEVELOPMENT AND IMPLEMENTATION OF OBJECT RATING ASSESSMENT COEFFICIENT METHODS by Alexander Ivanovich Dolgov

“…In this case, a hierarchical information model is generated automatically via the software shell means. A data set describing the evaluated object properties, their value interrelations is presented, and output data tables are formed in it. …”
Get full text

Strategic Communication and Political Candidate's Image in Digital Campaigns by Gatut Priyowidodo, Inri Inggrit Indrayani

“…The research method was bibliometric. Data was downloaded through the PoP (Publish or Perish) version 8 application. …”
Get full text

Design of campus comprehensive access management platform by Cai-e XU, Feng XU, Xiao-hua LI, Dong-ming LU, Yan-qi CHENG

“…Considering access control with more card,scattered access flow data and poor scalabiliby in current unirersity building multi-system,the campus integrated access management platform triple frame design with the core of perception layer,transport layer and application layer was proposed.Campus card access control applications based on a unified data processing were realized,by method of Media and unified campus card authorization,implementing hierarchical managementand access networking,comprehensively regulate access standards and centralized storage of data water.The design not only facilitates the management of school access control applications,but also carries out data mining based access control and lay the foundation for leadership decision-making support.…”
Get full text

Motif dan Pola Penggunaan Aplikasi Layanan Pesan Antar Makanan di Kalangan Mahasiswa di Yogyakarta by Bonavhisna Pandhita Sandya Wikara, Ulfah Hidayati

“…Keywords : Motives, Patterns, Applications for Food Delivery Services…”
Get full text

Modelling hedonic residential rents for land use and transport simulation while considering spatial effects by Michael Löchl, Kay W. Axhausen

“…The application of UrbanSim requires land or real estate price data for the study area. …”
Get full text

RANCANG BANGUN SISTEM INFORMASI INVENTARIS BPJS KETENAGAKERJAAN CABANG PEKALONGAN by Egia Rosi Subhiyakto, Nabila Safina

“…BPJS (Social Security Provider) Employment Branch Pekalongan has the Information Technology division that having  responsibilities to implement data recapitulation such as  incoming goods data, outgoing goods data, and inventory data. …”
Get full text

Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm by Fen Yang

“…With the research of machine learning technology and big data intelligent processing technology in engineering application becoming more and more mature, people gradually combine machine learning technology and big data intelligent processing technology. …”
Get full text

DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation by Xiyu Qi, Yidan Zhang, Lei Wang, Yifan Wu, Yi Xin, Zhan Chen, Yunping Ge

Get full text