International Journal of Intelligent Networks最新文献_第2页

Blockchain-based electronic voting systems: A case study in Morocco 基于区块链的电子投票系统：摩洛哥案例研究

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.01.004

Tarik Chafiq , Rida Azmi , Ouadoud Mohammed

{"title":"Blockchain-based electronic voting systems: A case study in Morocco","authors":"Tarik Chafiq , Rida Azmi , Ouadoud Mohammed","doi":"10.1016/j.ijin.2024.01.004","DOIUrl":"https://doi.org/10.1016/j.ijin.2024.01.004","url":null,"abstract":"<div><p>This research examines the feasibility of implementing blockchain-based electronic voting systems in Morocco to enhance electoral transparency and integrity. The study employs a methodology that combines Distributed Permission Ledger Technology (DPLT) and the Solana blockchain, resulting in a multilayered system. The main findings highlight the effectiveness of blockchain technology in mitigating electoral fraud and manipulation when implemented with precision, underscoring the importance of meticulous design and execution. These findings contribute significantly to discussions surrounding the modernization of electoral processes in the digital age and support the hypothesis that blockchain can address vulnerabilities in traditional voting methods. Moreover, the study marks a significant step toward modernizing elections, preserving democratic principles, and reinforcing the role of technology in addressing persistent electoral challenges, ultimately enhancing accessibility, security, and transparency in elections and strengthening democracy in the digital era.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 38-48"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603024000046/pdfft?md5=d2bed8b75db2d74cedaa1fab9e937566&pid=1-s2.0-S2666603024000046-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139709303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A macroscopic traffic flow modelling and collision avoidance using B-spline and Physics-Informed Neural Network approaches 使用 B-样条曲线和物理信息神经网络方法进行宏观交通流建模和避免碰撞

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.04.003

Mourad Haddioui , Youssef Qaraai , Saleh Bouarafa , Said Agoujil , Abderrahman Bouhamidi

{"title":"A macroscopic traffic flow modelling and collision avoidance using B-spline and Physics-Informed Neural Network approaches","authors":"Mourad Haddioui , Youssef Qaraai , Saleh Bouarafa , Said Agoujil , Abderrahman Bouhamidi","doi":"10.1016/j.ijin.2024.04.003","DOIUrl":"https://doi.org/10.1016/j.ijin.2024.04.003","url":null,"abstract":"<div><p>The macroscopic model, such as the Lighthill-Whitham-Richards (LWR), has been extensively studied and applied to various homogeneous traffic problems. However, numerical methods have been widely used with good performance. The outcome of this work is the proposal of a one-dimensional speed-density model. We applied both the B-spline collocation and the Physics-Informed Neural Network (PINN) methods to solve this model. The results clearly demonstrated that the B-spline method outperforms the PINN method in terms of accuracy. These results were then used firstly to compare it with thus obtained with a microscopic urban mobility simulator (SUMO) and secondly to visualize collision phenomena which are crucial for public safety. To manage collisions, the Intelligent Driver Model (IDM) was implemented. This integrated approach highlights the effectiveness of our density-speed model, coupled with advanced solving and control techniques, in enhancing the understanding and management of traffic.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 196-203"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603024000198/pdfft?md5=0976e4183d353abb1d7866c9c6f9c852&pid=1-s2.0-S2666603024000198-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140900999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Secure Official Document Management and intelligent Information Retrieval System based on recommendation algorithm 基于推荐算法的安全公文管理与智能信息检索系统研究

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.02.003

Liang Xing

{"title":"Secure Official Document Management and intelligent Information Retrieval System based on recommendation algorithm","authors":"Liang Xing","doi":"10.1016/j.ijin.2024.02.003","DOIUrl":"10.1016/j.ijin.2024.02.003","url":null,"abstract":"<div><p>Currently, servers store information from different sources and file types, which are then retrieved via electronic Information Management Systems (e-IMS), with Smart serving as an effective prototype system. Association rule testing and collaborative filtering are implemented to develop a Recommendation System (RS) for Mobile Application-based Official Document Management and Information Retrieval Systems (MA-ODM-IRS) that utilizes data structure and propensities to develop unique recommendations for common users. Reliable and accurate RS, which employs Machine Learning (ML)-based sentiment analysis to classify recommendations and novel performance metrics for target Information Retrieval (IF) from evaluation DMSs, enhances user trust. A recovery method significantly reduces data loss hazards and improves test case procedures for searching in IR, testing Mean Reciprocal Rank (MRR), Average Precision (AP), and retrieved document percentages. It recommends the novel MA-ODM-IRS and discusses the three experimental system iterations. A 0.75% reciprocal rank is better achieved by optimizing the MABIRS discovery process for users. Identifying feasible ideas, designing and implementing testing processes employing UML tools, and assessing the system gave the participants 98.19% acceptance.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 110-119"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603024000095/pdfft?md5=23f0a5a975d02ed8750b86940b30d6ab&pid=1-s2.0-S2666603024000095-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139824864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FCMPR:A multi-path secure transmission method based on link security assessment and fountain coding FCMPR：基于链路安全评估和喷泉编码的多路径安全传输方法

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.02.009

Jianhang Liu, Qingao Gao, Xinyao Wang, Xiang Zhou, Shibao Li, Haowei Zhang, Xuerong Cui

{"title":"FCMPR:A multi-path secure transmission method based on link security assessment and fountain coding","authors":"Jianhang Liu, Qingao Gao, Xinyao Wang, Xiang Zhou, Shibao Li, Haowei Zhang, Xuerong Cui","doi":"10.1016/j.ijin.2024.02.009","DOIUrl":"10.1016/j.ijin.2024.02.009","url":null,"abstract":"<div><p>The security of network data transmission has always been a focus of attention. With the rapid development of quantum computers and the rise of intelligent algorithms such as semantic analysis, traditional data encryption methods struggle to ensure the secure transmission of data. The avoidance routing protocol improves transmission security by circumventing malicious nodes and dangerous areas, but it misses the actual optimal path setup, reducing routing opportunities and increasing communication delays, thus failing to meet the application requirements that demand high security and low latency. To address these issues, this paper proposes a multi-path secure transmission method (FCMPR) based on link security assessment and fountain coding. We have designed a link security assessment method based on a random forest traffic detection model, which can obtain the link's confidence level to assess its security. Furthermore, we have proposed a secure multi-path routing transmission mechanism based on fountain code, enabling safe and rapid data transmission without avoiding malicious nodes. Experimental results show that even with a high proportion of malicious nodes in the network, FCMPR can significantly improve the data transmission rate, reduce the transmission delay, and enhance communication quality while ensuring data security.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 275-285"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603024000150/pdfft?md5=b4b4e78be896785da8d481d7b3f548ab&pid=1-s2.0-S2666603024000150-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140280998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing road safety in internet of vehicles using deep learning approach for real-time accident prediction and prevention 利用深度学习方法实时预测和预防事故，加强车联网中的道路安全

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.05.002

Xu Wei

{"title":"Enhancing road safety in internet of vehicles using deep learning approach for real-time accident prediction and prevention","authors":"Xu Wei","doi":"10.1016/j.ijin.2024.05.002","DOIUrl":"https://doi.org/10.1016/j.ijin.2024.05.002","url":null,"abstract":"<div><p>The paper proposes an Internet of Vehicles (IoV)-based Accident Prediction and Prevention System that leverages the Internet of Things (IoT) to tackle the road safety challenges arising from the increased rate and volume of traffic due to population growth. In order to enhance road safety and efficiency, the IoV devices enable real-time data transmission and analysis. The proposed multi-tier framework tracks vehicle and roadside unit (RSU) data, encompassing road traffic conditions and vehicle data. The framework integrates vehicles, road traffic, weather conditions, and external factors. On a cloud-based control server, the proposed Spatio-Temporal Conv-Long Short-Term Memory Autoencoder (STCLA) framework deals with and analyzes the resulting data. This research addresses road safety on the Internet of Vehicles via DL. It proposes a novel framework for real-time accident prevention and prediction, demonstrating its effectiveness and potential impact. In a year-long research in Hubei Province, China, data from two road segments demonstrated a substantial boost in predictive accuracy, achieving an Area Under the Receiver Operating Characteristic Curve (AUROC) score of 0.94.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 212-223"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603024000216/pdfft?md5=391fca7ae3352f4576588898ec427410&pid=1-s2.0-S2666603024000216-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140951010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on intelligent vehicle Traffic Flow control algorithm based on data mining 基于数据挖掘的智能车辆交通流量控制算法研究

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.02.004

Lihua Cheng , Ke Sun

{"title":"Research on intelligent vehicle Traffic Flow control algorithm based on data mining","authors":"Lihua Cheng , Ke Sun","doi":"10.1016/j.ijin.2024.02.004","DOIUrl":"https://doi.org/10.1016/j.ijin.2024.02.004","url":null,"abstract":"<div><p>Traffic Congestion (TC) is increasing due to urban growth and vehicle numbers, rendering the development of cities and people's well-being difficult. Traffic Prediction (TP) and control systems have been required to improve Traffic Flow (TF) and reduce TC because standard methods are unsuitable. The paper proposes an innovative method for traffic control using the Dynamic Zone Segmentation Algorithm (DZSA) to solve this significant issue. The algorithm uses real-time data and road conditions to partition city traffic into manageable units, enhancing the adaptability and accuracy of Traffic Prediction (TP) performance. Applying DZSA, the recommended Long Short-Term Memory + Bayesian Structural Time Series (LSTM + BSTS) learning model optimizes TP by integrating the best features of conventional and Machine Learning (ML) methods. The model optimized quality performance when experimentally tested against other benchmark models using metrics like Mean Absolute Error, Mean Absolute Scaled Error, Accuracy Percent, Root Mean Squared Error, and Mean Absolute Percent Error. The recommended model, LSTM + BSTS, shows a minimal error rate of 6.68%, indicating its success.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 92-100"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603024000101/pdfft?md5=c87971d1e870a72ddbce209838375d01&pid=1-s2.0-S2666603024000101-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139748845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data structure and privacy protection analysis in big data environment based on blockchain technology 基于区块链技术的大数据环境下的数据结构与隐私保护分析

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.02.005

Yu Wang

{"title":"Data structure and privacy protection analysis in big data environment based on blockchain technology","authors":"Yu Wang","doi":"10.1016/j.ijin.2024.02.005","DOIUrl":"https://doi.org/10.1016/j.ijin.2024.02.005","url":null,"abstract":"<div><p>In today's digital world, the rapid advancement of Information Technology (IT) has made it crucial to prioritize the protection and management of data storage and retrieval. It is vital to challenge the difficulties related to dispersed and decentralized data to build strong mechanisms for access control and provide effective authorization and authentication in data processing. In the contemporary context of IT, the imperative to secure data storage and retrieval has become distinctly observed. The challenges posed by distributed and decentralized data demand the development of robust mechanisms for access control, demanding a focus on proper authorization and authentication in transaction processing. This research addresses the existing gap by comprehensively adapting data structures effectively to the evolving needs of secure access and storage control. It uses the Enhanced Merkle Tree (EMT) as a novel data structure. This article initially modifies the conventional Merkle Tree (MT) structure used in Blockchain technology to suit e-healthcare Systems (e-HS) requirements. The EMT enhances data security in access and storage and significantly improves data integrity management. Its constant three-degree MT with multiple leaves, branches, and a single root node enables updated data authentication, verification, and validation procedures. The proposed method is applied to the e-HS scenario, and the proposed EMT outperforms existing <em>state-of-the-art</em> techniques, achieving a minimal verification time of 14.26 m for 100 transactions. This research, therefore, contributes to the discourse on data security by presenting an innovative and efficient solution tailored to the unique challenges of e-health systems.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 120-132"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603024000113/pdfft?md5=8cfe3cff84ce9d5df986f7cbe903e86e&pid=1-s2.0-S2666603024000113-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modelling and analysis of fiber Bragg grating temperature sensor for Internet of things applications (FBG-4-IoT) 物联网应用光纤布拉格光栅温度传感器（FBG-4-IoT）的建模与分析

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.05.006

Paul Stone Macheso , Mohssin Zekriti

{"title":"Modelling and analysis of fiber Bragg grating temperature sensor for Internet of things applications (FBG-4-IoT)","authors":"Paul Stone Macheso , Mohssin Zekriti","doi":"10.1016/j.ijin.2024.05.006","DOIUrl":"https://doi.org/10.1016/j.ijin.2024.05.006","url":null,"abstract":"<div><p>The integration of Fiber Bragg Grating (FBG) sensors into the Internet of Things (IoT) has garnered significant attention in recent years because of their immunity to electromagnetic and radio frequency interference, small size and weight, and corrosion resistance. This paper aims to enhance the performance characteristics of FBG sensors for temperature measurement by proposing a specific design of their parameters, thus facilitating their implementation in IoT applications. The FBG temperature sensor is designed to operate in the 1500–1600 nm wavelength range. The outcomes display a high sensitivity of 0.61 nm/°C with a Full Width Half Maxima (FWHM) of 7.893 nm and a Figure of Merit (FOM) of 7.72 x 10<sup>−2</sup>/°C. The calculated Quality Factor (Q) of the sensor was 195.67. When compared with previous studies in the literature, our obtained results confirm the enhanced performance of the proposed design of the FBG sensor, which render it suitable for utilization in most industrial use cases, especially in harsh environments.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 224-230"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603024000253/pdfft?md5=a7598bca698b0ec7a293ae86f8b93768&pid=1-s2.0-S2666603024000253-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141068734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep CNN based brain tumor detection in intelligent systems 智能系统中基于深度 CNN 的脑肿瘤检测

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2023.12.001

Brij B. Gupta , Akshat Gaurav , Varsha Arya

{"title":"Deep CNN based brain tumor detection in intelligent systems","authors":"Brij B. Gupta , Akshat Gaurav , Varsha Arya","doi":"10.1016/j.ijin.2023.12.001","DOIUrl":"10.1016/j.ijin.2023.12.001","url":null,"abstract":"<div><p>The early detection of brain tumor is crucial for effective treatment and improved patient prognosis in Industrial Information Systems. This research introduces a novel computational model employing a three-layer Convolutional Neural Network (CNN) for the identification of brain tumors in Industrial Information Systems. Leveraging advanced computational techniques, this proposed model can autonomously detect intricate patterns and features from medical imaging data, resulting in more accurate and expedited diagnoses. With an impressive 90 % precision rate, our model demonstrates the potential to serve as a valuable tool for medical professionals working in the field of neuroimaging. By presenting a dependable and precise computational model, this study contributes to the advancement of brain tumor identification within the domain of medical imaging. We anticipate that our methodology will aid healthcare providers in making more accurate diagnoses, thereby leading to enhanced patient outcomes. Potential avenues for future research encompass refining the model's fundamental architecture and exploring real-time therapeutic applications.</p></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 30-37"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666603023000465/pdfft?md5=dfed15092cf58564d51a55c1d9f1edbe&pid=1-s2.0-S2666603023000465-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139637278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multimodal spatio-temporal framework for real-world affect recognition 真实世界情感识别的多模态时空框架

International Journal of Intelligent Networks Pub Date : 2024-01-01 DOI: 10.1016/j.ijin.2024.10.001

Karishma Raut , Sujata Kulkarni , Ashwini Sawant

{"title":"Multimodal spatio-temporal framework for real-world affect recognition","authors":"Karishma Raut , Sujata Kulkarni , Ashwini Sawant","doi":"10.1016/j.ijin.2024.10.001","DOIUrl":"10.1016/j.ijin.2024.10.001","url":null,"abstract":"<div><div>Deep learning models show great potential in applications involving video-based affect recognition, including human-computer interaction, robotic interfaces, stress and depression assessment, and Alzheimer's disease detection. The low complex Multimodal Diverse Spatio-Temporal Network (MDSTN) has been analysed to effectively capture spatio-temporal information from audio-visual modalities for affect recognition using the Acted Facial Expressions in the Wild (AFEW) dataset. The scarcity of data is handled by data augmented parallel feature extraction for visual network. Visual features extracted by carefully reviewing and customizing Convolutional 3D architecture over different ranges are combined to train a neural network for classification. Multi-resolution Cochleagram (MRCG) features from speech, along with spectral and prosodic audio features, are processed by a supervised classifier. The late fusion technique is explored to integrate audio and video modalities, considering their processing over different temporal spans. The MDSTN approach significantly boosts the accuracy of basic emotion recognition to 71.54 % on the AFEW dataset. It demonstrates exceptional proficiency in identifying emotions such as disgust and surprise, thus exceeding current benchmarks in real-world affect recognition.</div></div>","PeriodicalId":100702,"journal":{"name":"International Journal of Intelligent Networks","volume":"5 ","pages":"Pages 340-350"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0