卷 6 ， 期 13 ， 2023
- 摘要：To construct a machine learning predictive diagnostic algorithm model for thyroid diseases, this paper obtains a thyroid disease dataset from the UCI (University of California，Irvine) website and preprocesses it. It introduces the whale optimization algorithm to optimize the parameters of the least squares support vector machine model and constructs a thyroid disease prediction model. Based on the improved support vector regression algorithm, the prediction model can accurately predict thyroid function status. After optimization, the root mean square error of the model is 0.270 9, R2 is 0.744, and the prediction accuracy of the model is 0.926, indicating good prediction accuracy and fast convergence speed.关键词：Support Vector Regression;Whale optimization;least squares support vector machine;Thyroid diseases;prediction model51|151|0更新时间：2025-03-26
- 摘要：Traditional plant leaf classification methods often fail to meet the requirements of accuracy and efficiency. This study introduces the VGG16 model as an improved solution, aiming to improve the accuracy and automation of medicinal plant leaf classification.,and evaluates the benchmark CNN (Convolutional Neural Networks) model on the dataset and compare the effectiveness with the VGG16 model and the benchmark CNN model. The VGG16 model achieved an accuracy of 97% on the training set, while the accuracy of the validation set was 94%. Under the same training cycle, the accuracy of the training and validation sets is 91.1% and 93.4%, respectively. This indicates that the VGG16 model has better performance and generalization ability in classifying medicinal plant leaves. The VGG16 model exhibits excellent performance in the task of medicinal plant leaf classification, providing a powerful solution for efficient and accurate plant classification. Future research can further improve and expand deep learning models to address broader and complex plant classification challenges.关键词：Deep learning;CNN model;VGG16 model;Plant classification;improvement48|162|0更新时间：2025-03-26
- 摘要：To develop a machine learning model to predict whether an individual is at risk from COVID-19 (Corona Virus Disease 2019) and to aid medical decisions, including seeking medical attention or choosing home isolation. Based on three integrated learning algorithms, GradientBoost, XGBoost and Stochastic Forest, as well as four non-integrated learning algorithms including decision tree, logistic regression, support vector machine and KNN (K-Nearest Neighbor) algorithm were used to construct a COVID-19 risk prediction model. We validated the model efficiency, and identified the COVID-19 risk factors. The area under ROC (Receiver Operating Characteristic) curve of both integrated learning and non-integrated learning models was approximately 0.94. Important risk factors, such as age, hospitalization, infection, pregnancy, pneumonia, and oxygen insertion, were also identified. Integrated learning is not necessarily superior to non-integrated learning in large sample size.关键词：novel coronavirus pneumonia;Covid-19;machine learning;Allocation of medical resources;prediction model130|244|0更新时间：2025-03-26
- 摘要：With the deep integration of cloud computing, big data, electronic medical records, intelligent services and other new generation information technologies with medical services, the performance operation and maintenance management system established on this basis is assisting the hospital to return to functional positioning and improve quality and efficiency. The hospital performance operation and maintenance management is based on the operation and maintenance management of the information system. In order to improve the hospital’s governance ability and service level, it integrates human, financial, material and other resources system integration, and provides strong support for promoting the scientific, standardized and refined operation and management of the hospital. This article discusses in detail the practical process of hospital performance operation and maintenance management, including job requirements, daily work, performance accounting, and differences from hospital information operation and maintenance.关键词：hospital performance management;hospital operation and maintenance management;information security;hospital operation management;knowledge management58|51|0更新时间：2025-03-26
- 摘要：This paper starts from the problems that need to be solved in order to ensure the stability and consistency of welding product quality, improve productivity, and obtain the working, fault and monitoring information of welding machine in time.Based on the establishment of the state information perception layer of the welding machine site, the design of digital acquisition communication unit, the design of remote upgrade and maintenance, and the establishment of the 'Smart Welding Cloud' monitoring system, the system integrates and monitors the efficiency data of welding machine equipment in real time, provides statistical information of equipment operation efficiency, avoids errors in manual statistical records, reduces manual workload, improve equipment maintenance level, and provides decision support for application management, production management, process optimization, and equipment technical transformation investment.关键词：welding;group control;smart welding cloud;intelligent manufacturing35|28|0更新时间：2025-03-26
RESEARCH PAPER
- 摘要：Wavelength tunable optical engine can output different wavelengths on one optical engine. It can simplify the system and reduce the system cost when it is arranged in the communication system, and has broad application prospects. This paper introduces the working principle and layout scheme of wavelength tunable optical engine, and provides a design method of wavelength tunable optical engine, so that wavelength emitted by optical engine can be adjusted within the range of 1 540.54 nm—1 544.54 nm.关键词：wavelength tunable;optical engine;optical engine structure design;wavelength tunable optical engine48|182|0更新时间：2025-03-26
- 摘要：With the development of the digital technology, artificial intelligence (AI) technology has made significant progress in both hardware architecture and software algorithms. As the AI technology empowered more and more fields, AI-empowered TV program production will be the next trend. This article analyzes the way of working on AI-empowered TV program producing, based on different categories of TV programs, and designs 8 different digital models. The 8 different digital models designed only based on the AI capabilities in current and in the near future.关键词：AI video director;sorts of TV program;gesture analyses;auto scene switch;TV program produce;artificial intelligence46|19|0更新时间：2025-03-26
- 摘要：In order to construct a fully functional, operationally stable, secure, manageable, and controllable county-level emergency broadcasting system, we have developed a versatile intelligent detection platform. This platform incorporates technologies such as network communication, TAR (Tape ARchive) package and XML (Extensible Markup Language) file data parsing, content recognition, terminal information extraction, database management, and report generation. It aims to meet the requirements of interface testing, platform functionality verification, terminal performance testing, fault localization, and secure broadcast inspection. By assisting in the management of natural disasters, public health emergencies, and social security incidents, this system aims to minimize disaster losses and societal panic, effectively safeguarding the lives and property of the general public.关键词：emergency broadcasting;platform detection;performance testing;fault troubleshooting76|59|0更新时间：2025-03-26
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