International Journal of Intelligent Information and Database Systems最新文献_第8页

Building natural language responses from natural language questions in the spatio-temporal context 从自然语言问题中构建时空背景下的自然语言反应

International Journal of Intelligent Information and Database Systems Pub Date : 2021-01-01 DOI: 10.1504/ijiids.2021.10033770

Ghada Landoulsi, Khaoula Mahmoudi, Sami Faïz

引用次数: 0

Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model 农业技术转移决策支持系统(DSSAT)模型研究综述

International Journal of Intelligent Information and Database Systems Pub Date : 2021-01-01 DOI: 10.11648/j.ijiis.20211006.13

Desta Abayechaw

引用次数: 1

Application of fuzzy logic on CT-scan images of COVID-19 patients 模糊逻辑在COVID-19患者ct扫描图像中的应用

International Journal of Intelligent Information and Database Systems Pub Date : 2021-01-01 DOI: 10.1504/ijiids.2021.10039512

Fariha Noor, Md Rashad Tanjim, M. J. Rahim, Md. Naimul Islam Suvon, Faria Karim Porna, Shabbir Ahmed, Md. Abdullah Al Kaioum, R. Rahman

{"title":"Application of fuzzy logic on CT-scan images of COVID-19 patients","authors":"Fariha Noor, Md Rashad Tanjim, M. J. Rahim, Md. Naimul Islam Suvon, Faria Karim Porna, Shabbir Ahmed, Md. Abdullah Al Kaioum, R. Rahman","doi":"10.1504/ijiids.2021.10039512","DOIUrl":"https://doi.org/10.1504/ijiids.2021.10039512","url":null,"abstract":"Image processing is crucial in any image analysis to determine the problem. If it is a medical area, a suitable image processing method becomes even more imperative to get as accurate results as possible. Due to the widespread outbreak of coronavirus disease 2019 (COVID-19), an infectious respiratory disease, it has become quite urgent that a reliable method for identification of the disease is sought. In this paper, we have segmented images with two different techniques, fuzzy c-means, and k-means clustering. Our images include CT-scan data and X-rays of both two categories. The first being the COVID-19 infected patients;the other being a collection of normal persons, and viral pneumonia infected persons. Among the two clustering techniques, the k-means performed better. Later, we trained our CNN model with the segmented images and raw images. Interestingly, the segmented images of CT-scan, as well as X-rays, are performing well in CNN classification rather than raw images. After applying fuzzy edge detection, the segmentation was improved. The f1-score for our model is 91% and the support is 89%. © 2021 Inderscience Enterprises Ltd.","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"39 1","pages":"333-348"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73396316","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

Chronological penguin Adam-based deep long short-term memory classifier for stock market prediction 基于时间企鹅adam的股票市场预测深度长短期记忆分类器

International Journal of Intelligent Information and Database Systems Pub Date : 2021-01-01 DOI: 10.1504/IJIIDS.2021.10037625

Dattatray P. Gandhmal, K. Kannan

引用次数: 1

Enhancement for graph operations in relational database for criminal intelligence domain 刑事情报领域关系数据库图运算的改进

International Journal of Intelligent Information and Database Systems Pub Date : 2021-01-01 DOI: 10.1504/ijiids.2021.10033772

Mateusz Piech, M. Los, R. Marcjan

引用次数: 1

Leveraging app features to improve mobile app retrieval 利用应用程序功能改进移动应用程序检索

International Journal of Intelligent Information and Database Systems Pub Date : 2021-01-01 DOI: 10.1504/IJIIDS.2021.10035966

Messaoud Chaa, O. Nouali, P. Bellot

引用次数: 0

SDMS: smart database management system for accessing heterogeneous databases SDMS:智能数据库管理系统，用于访问异构数据库

International Journal of Intelligent Information and Database Systems Pub Date : 2021-01-01 DOI: 10.1504/IJIIDS.2021.10035961

Khaleel W. Mershad, Ali Hamieh

引用次数: 2

Optimisation algorithm-based recurrent neural network for big data classification 基于优化算法的递归神经网络大数据分类

International Journal of Intelligent Information and Database Systems Pub Date : 2021-01-01 DOI: 10.1504/ijiids.2020.10033515

Mobin Akhtar, D. Ahamad, Shabi AlamHameed

引用次数: 5

Copyright Information Resource Management in Nigeria: and the Way Forward 尼日利亚版权信息资源管理:及未来之路

International Journal of Intelligent Information and Database Systems Pub Date : 2020-12-31 DOI: 10.11648/J.IJIIS.20200906.11

Okoroma Francisca Nwakaego

{"title":"Copyright Information Resource Management in Nigeria: and the Way Forward","authors":"Okoroma Francisca Nwakaego","doi":"10.11648/J.IJIIS.20200906.11","DOIUrl":"https://doi.org/10.11648/J.IJIIS.20200906.11","url":null,"abstract":"The enrichment of the national cultural heritage is directly linked to the level of protection given to literary and artistic works. The higher the level of protection, the greater the number of each country’s intellectual output. This calls for an effective copyright information resource management in every nation and organization to optimize access to relevant information on copyright in order to curb the rate of infringement. This paper seeks to address the copyright information resource management in Nigeria, and the way forward. Questionnaire instrument was used for data collection. The last two questions on the questionnaire were open-ended questions, designed to enable the respondents freely express their views and suggestions. The findings identified the benefits of copyright information resource management, both to the authors and the users; include the inhibition of infringement as it delivers quick access to copyright related information in a dynamic and effective way. This is due to the fact that many acts of infringement on copyright are as a result of ignorance on the part of users. The findings further highlighted that copyright information resource management facilitation is dependent on putting the right people in positions of authority, setting up committee in each institution to monitor and establish standards in order to ensure quality assurance in the system, and keeping tracks of publications of each university’s scholar.","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86896262","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

Prediction of Leaves Using Convolutional Neural Network 利用卷积神经网络预测叶片

International Journal of Intelligent Information and Database Systems Pub Date : 2020-10-28 DOI: 10.11648/j.ijiis.20200904.12

Abhishek Agarwal, R. Venkat

{"title":"Prediction of Leaves Using Convolutional Neural Network","authors":"Abhishek Agarwal, R. Venkat","doi":"10.11648/j.ijiis.20200904.12","DOIUrl":"https://doi.org/10.11648/j.ijiis.20200904.12","url":null,"abstract":"Plants have a significant role in every corner, let it be for humans, animals, and the environment. They play a significant role in saving each other lives by providing each one with the necessities. For saving these plants, humans should be able to identify the plants in order to give proper treatment to the plants. The species of the plants can be easily identified by the venation of the leaves. This paper focuses on the Convolution Neural Networks (CNN) classification methodology, which helps to classify the leaves accurately. The work uses leaf images of apple, grape and tomatoes from the plant village dataset for getting the features and further classification of the leaves. The prediction of the leaves will be done by using the deep learning techniques in which the input layer will be the features extracted using the proposed algorithm. The proposed algorithm is based on Local Binary Pattern (LBP), which is a simple yet very efficient method to identify the pixels of the image by threshold in the neighborhood of each pixel and consider the result as a binary number. The proposed algorithm is efficient for its computational simplicity, which makes it possible to analyze images in challenging real-time settings in the field of image processing and computer vision.","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"188 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74508773","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