Journal of Theory and Practice of Engineering Science最新文献_第2页

Enhancing Disease Prediction with a Hybrid CNN-LSTM Framework in EHRs 利用电子病历中的混合 CNN-LSTM 框架加强疾病预测

Journal of Theory and Practice of Engineering Science Pub Date : 2024-02-28 DOI: 10.53469/jtpes.2024.04(02).02

Jingxiao Tian, Ao Xiang, Yuan Feng, Qin Yang, Houze Liu

{"title":"Enhancing Disease Prediction with a Hybrid CNN-LSTM Framework in EHRs","authors":"Jingxiao Tian, Ao Xiang, Yuan Feng, Qin Yang, Houze Liu","doi":"10.53469/jtpes.2024.04(02).02","DOIUrl":"https://doi.org/10.53469/jtpes.2024.04(02).02","url":null,"abstract":"This study developed a novel hybrid deep learning framework aimed at enhancing the accuracy of disease prediction using temporal data from Electronic Health Records (EHRs). The framework integrates Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, leveraging the strength of CNNs in extracting hierarchical feature representations from complex data and the capability of LSTMs in capturing long-term dependencies in temporal information. An empirical investigation on real-world EHR datasets revealed that, compared to Support Vector Machine (SVM) models, standalone CNNs, and LSTMs, this hybrid deep learning network demonstrated significantly higher prediction accuracy in disease prediction tasks. This research not only advances the performance of predictive models in the health data analytics domain but also underscores the importance of adopting and further developing advanced deep learning technologies to address the complexity of modern medical data. Our findings advocate for a shift towards integrating complex neural network architectures in developing predictive models, potentially offering avenues for more personalized and proactive disease management and care, thereby setting new standards for future health management practices.","PeriodicalId":489516,"journal":{"name":"Journal of Theory and Practice of Engineering Science","volume":"20 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Enhancing E-commerce Recommendations: Unveiling Insights from Customer Reviews with BERTFusionDNN 增强电子商务推荐：利用 BERTFusionDNN 从客户评论中挖掘洞察力

Journal of Theory and Practice of Engineering Science Pub Date : 2024-02-28 DOI: 10.53469/jtpes.2024.04(02).06

Zhiming Zhao, Ning Zhang, Jize Xiong, Mingyang Feng, Chufeng Jiang, Xiaosong Wang

引用次数: 4

Enhancing Security in DevOps by Integrating Artificial Intelligence and Machine Learning 通过整合人工智能和机器学习提高 DevOps 的安全性

Journal of Theory and Practice of Engineering Science Pub Date : 2024-02-28 DOI: 10.53469/jtpes.2024.04(02).05

Penghao Liang, Yichao Wu, Zheng Xu, Shilong Xiao, Jiaqiang Yuan

{"title":"Enhancing Security in DevOps by Integrating Artificial Intelligence and Machine Learning","authors":"Penghao Liang, Yichao Wu, Zheng Xu, Shilong Xiao, Jiaqiang Yuan","doi":"10.53469/jtpes.2024.04(02).05","DOIUrl":"https://doi.org/10.53469/jtpes.2024.04(02).05","url":null,"abstract":"In modern software development and operations, DevOps (a combination of development and operations) has become a key methodology aimed at accelerating delivery, improving quality and enhancing security. Meanwhile, artificial intelligence (AI) and machine learning (ML) are also playing an increasingly important role in cybersecurity, helping to identify and respond to increasingly complex threats. In this article, we'll explore how AI and ML can be integrated into DevOps practices to ensure the security of software development and operations processes. We'll cover best practices, including how to use AI and ML for security-critical tasks such as threat detection, vulnerability management, and authentication. In addition, we will provide several case studies that show how these technologies have been successfully applied in real projects and how they have improved security, reduced risk and accelerated delivery. Finally, through this article, readers will learn how to fully leverage AI and ML in the DevOps process to improve software security, reduce potential risks, and provide more reliable solutions for modern software development and operations.","PeriodicalId":489516,"journal":{"name":"Journal of Theory and Practice of Engineering Science","volume":"29 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140422968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Enhancing Credit Card Fraud Detection: A Neural Network and SMOTE Integrated Approach 加强信用卡欺诈检测：神经网络和 SMOTE 集成方法

Journal of Theory and Practice of Engineering Science Pub Date : 2024-02-28 DOI: 10.53469/jtpes.2024.04(02).04

Mengran Zhu, Ye Zhang, Yulu Gong, Changxin Xu, Yafei Xiang

引用次数: 1

Application of the AlphaFold2 Protein Prediction Algorithm Based on Artificial Intelligence 基于人工智能的 AlphaFold2 蛋白预测算法的应用

Journal of Theory and Practice of Engineering Science Pub Date : 2024-02-28 DOI: 10.53469/jtpes.2024.04(02).09

Quan Zhang, Beichang Liu, Guoqing Cai, Jili Qian, Zhengyu Jin

{"title":"Application of the AlphaFold2 Protein Prediction Algorithm Based on Artificial Intelligence","authors":"Quan Zhang, Beichang Liu, Guoqing Cai, Jili Qian, Zhengyu Jin","doi":"10.53469/jtpes.2024.04(02).09","DOIUrl":"https://doi.org/10.53469/jtpes.2024.04(02).09","url":null,"abstract":"As the expression products of genes and macromolecules in living organisms, proteins are the main material basis of life activities. They exist widely in various cells and have various functions such as catalysis, cell signaling and structural support, playing a key role in life activities and functional execution. At the same time, the study of protein can better grasp the life activities from the molecular level, and has important practical significance for disease management, new drug development and crop improvement. Due to advances in high-throughput sequencing technology, protein sequence data has grown exponentially. The protein function prediction problem can be seen as a multi-label binary classification problem by extracting the features of a given protein and mapping them to the protein function label space. A variety of data sources can be mined to obtain protein function prediction features, such as protein sequence, protein structure, protein family, protein interaction network, etc. The initial steps are classical sequence-based methods, such as BLAST, which calculate the similarity between protein sequences and transmit annotations between proteins whose similarity scores exceed a specific threshold. This method has great limitations for protein function prediction without sequence similarity. Therefore, this paper analyzes the development prospect of bioanalysis and artificial intelligence through the application status and realization path of AlphaFold2 protein prediction algorithm based on artificial intelligence.","PeriodicalId":489516,"journal":{"name":"Journal of Theory and Practice of Engineering Science","volume":"133 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Enhancing E-commerce Chatbots with Falcon-7B and 16-bit Full Quantization 利用 Falcon-7B 和 16 位全量化技术增强电子商务聊天机器人的功能

Journal of Theory and Practice of Engineering Science Pub Date : 2024-02-28 DOI: 10.53469/jtpes.2024.04(02).08

Yang Luo, Zibu Wei, Guokun Xu, Zhengning Li, Ying Xie, Yibo Yin

引用次数: 4

The Application of Electronic Information Technology in Building Engineering 电子信息技术在建筑工程中的应用

Journal of Theory and Practice of Engineering Science Pub Date : 2023-10-31 DOI: 10.53469/jtpes.2023.03(10).03

Shuangshuang Liu, Ping Li

{"title":"The Application of Electronic Information Technology in Building Engineering","authors":"Shuangshuang Liu, Ping Li","doi":"10.53469/jtpes.2023.03(10).03","DOIUrl":"https://doi.org/10.53469/jtpes.2023.03(10).03","url":null,"abstract":"At the present stage, the degree of social information intelligence continues to increase, electronic information technology has been widely used in various industries, has become an important part of People's Daily life. Electronic information technology can also promote the development and progress of enterprises, most of the enterprises have begun to use electronic information technology in the process of development, it can be seen that the electronic information technology has considerable prospects for development, this paper analyzes the construction engineering enterprises for the use of electronic information technology, hoping to provide a certain reference to the relevant personnel. The paper firstly reviewed the classic newsvendor model and expounded the establishment and solution to the model. Then the model of the supply chain system was established based on the classical newspaper model. Finally, based on the basic theory of repurchase contract, a repurchase agreement was established. The supply chain buyback contract under the newsvendor model can not only realize the coordination of supply chain, but also realize the distribution of profit in the supply chain.","PeriodicalId":489516,"journal":{"name":"Journal of Theory and Practice of Engineering Science","volume":"31 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135863668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Casting Product Image Data for Quality Inspection with Xception and Data Augmentation 基于例外和数据增强的质量检测产品图像数据铸造

Journal of Theory and Practice of Engineering Science Pub Date : 2023-10-31 DOI: 10.53469/jtpes.2023.03(10).06

Hao Hu, Shulin Li, Jiaxin Huang, Bo Liu, Change Che

引用次数: 21

Analysis of Common Problems and Improvement Measures of Pressure Pipeline Inspection 压力管道检测常见问题分析及改进措施

Journal of Theory and Practice of Engineering Science Pub Date : 2023-10-31 DOI: 10.53469/jtpes.2023.03(10).01

Ziyue Ding, Lingyao Jia, Linxi Tian, Xiangxiang Li

引用次数: 0

Analysis of the Development Trend of Electric Power Technology 电力技术发展趋势分析

Journal of Theory and Practice of Engineering Science Pub Date : 2023-10-31 DOI: 10.53469/jtpes.2023.03(10).04

Shufan Zhu, Rongyan Zhu

{"title":"Analysis of the Development Trend of Electric Power Technology","authors":"Shufan Zhu, Rongyan Zhu","doi":"10.53469/jtpes.2023.03(10).04","DOIUrl":"https://doi.org/10.53469/jtpes.2023.03(10).04","url":null,"abstract":"After decades of reform and opening up, China's development structure is constantly upgrading, and the quality of development is also constantly improving. As one of the main sources of clean energy, electric energy plays a vital role in people's production and life. Therefore, how to better serve all aspects of the society with power production technology is the current development must pay attention to the topic. This paper focuses on the analysis of the current situation of electric power production technology and its future development trend. Therefore, under the circumstances that logistics resources are limited and logistics activities are increasingly dependent on the market and industrial structure, Henan Province should scientifically plan and rationally allocate and use logistics resources in implementation of \"One Belt, One Road\" strategy to achieve the best input and output, improve the overall efficiency and level of logistics; vigorously develop local economy from the perspective of system coordination, realize coordination among logistics enterprises, logistics industry coordination, as well as inter-industry coordination and regional coordination.","PeriodicalId":489516,"journal":{"name":"Journal of Theory and Practice of Engineering Science","volume":"95 33","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0