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Classification of Vital Genetic Syndromes Associated With Diabetes Using ANN-Based CapsNet Approach 基于人工神经网络的CapsNet方法对糖尿病相关重要遗传综合征的分类
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307133
N. Rajesh, Amalraj Irudayasamy, M. Mohideen, C. Ranjith
{"title":"Classification of Vital Genetic Syndromes Associated With Diabetes Using ANN-Based CapsNet Approach","authors":"N. Rajesh, Amalraj Irudayasamy, M. Mohideen, C. Ranjith","doi":"10.4018/ijec.307133","DOIUrl":"https://doi.org/10.4018/ijec.307133","url":null,"abstract":"Diabetes has been linked to a wide range of genetic abnormalities or disorders like Cushing syndrome, Wolfram’s syndrome. The factual significance of these relatively uncommon disorders originates from the knowledge that supplies into the potential processes driving prevalent diabetes. Diabetes-related syndromes are presently classified based on clinical and biochemical characteristics. However, until now, no expertise classification strategies are developed for classifying diabetes-associated syndrome disorders efficiently and accurately. Thus, we introduce an Artificial Neural Network framework based on CapsNets to categorize vital genetic disorders related to diabetes. Here, a capsule represents a bundle or set of neurons used to retain data about an essential subject and provides precise information in each image. The suggested approach was systematically compared using cutting-edge methods and basic classification models. With an overall 91.4 percent accuracy, the proposed CapsNets-based method provides the best sensitivity89.93%, specificity 90.77%, and F1-score value 93.10%","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"75 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90429691","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: 2
The Marketing Prospects of Consumer Trust in Banking Services to Reduce Perceived Financial Risk and Enhance Intention to Use Internet Banking 消费者对银行服务信任的营销前景，以降低感知金融风险，提高使用网上银行的意愿
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307128
Zhang-fei Li
{"title":"The Marketing Prospects of Consumer Trust in Banking Services to Reduce Perceived Financial Risk and Enhance Intention to Use Internet Banking","authors":"Zhang-fei Li","doi":"10.4018/ijec.307128","DOIUrl":"https://doi.org/10.4018/ijec.307128","url":null,"abstract":"Purpose – Eight items are measured to determine consumers’ perceived financial risk in using Internet retail banking and set up a framework to understand the role of perceived financial risk, and how it relates with consumer's trust in Internet retail banking and behavioral intentions to use Internet retail banking. Methods – An online survey was conducted using 307 Malaysian online banking customers. Therefore,Structural equation modeling was used to analyze the collected data. Findings – A consumer's behavioral intentions to use Internet retail banking are also affected by their perceived financial risk. And there is a mediating role of perceived financial risk exists in the relationship between consumer's trust in Internet retail banking and behavioral intentions to use Internet retail banking. Originality/value – The results confirm that banks must reflect on their consumer's trust while reducing various perceived financial risks such as financial loss resulting from credit card number loss, service delivery loss, overcharged fee on an online transaction,etc.,","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"15 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76454064","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
Domestic Research Hot Spots and Frontier Analysis of Virtual Reality Technology in the Field of Education 虚拟现实技术在教育领域的国内研究热点与前沿分析
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307135
Erhui Xi, Manqi Li, Songfeng Zhang
{"title":"Domestic Research Hot Spots and Frontier Analysis of Virtual Reality Technology in the Field of Education","authors":"Erhui Xi, Manqi Li, Songfeng Zhang","doi":"10.4018/ijec.307135","DOIUrl":"https://doi.org/10.4018/ijec.307135","url":null,"abstract":"Virtual reality technology has been widely used due to its characteristics of immersion and interaction and has become a research hot spot both at home and abroad. In this research, the analysis technology of visual knowledge graph is adopted, and the core journals included in the CNKI database are taken as the literature source. The domestic research of virtual reality in the field of education. The researches show that the hot spots in this field include the construction of virtual experiment platform, the experiment application of medical simulation, the experiment application of simulation to improve safety, the teaching reform propelled by the application of virtual technology, the application of virtual simulation in innovation and entrepreneurship education, and the theoretical research of virtual learning community. Meanwhile, the research frontiers in this field are analyzed through the keyword burst graph, including the application of virtual reality in education, the informational construction of universities, and the integration of virtual reality and frontier technology.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"21 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80828832","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
Application Research of IICA Algorithm in a Limited-Buffer Scheduling Problem IICA算法在有限缓冲调度问题中的应用研究
Int. J. e Collab. Pub Date : 2022-05-01 DOI: 10.4018/ijec.307131
Bin Duan, Yongqin Jiang
{"title":"Application Research of IICA Algorithm in a Limited-Buffer Scheduling Problem","authors":"Bin Duan, Yongqin Jiang","doi":"10.4018/ijec.307131","DOIUrl":"https://doi.org/10.4018/ijec.307131","url":null,"abstract":"An improved imperialist competition algorithm (IICA) was proposed to resolve the problem of flexible flow shop scheduling that with limited buffer (LBFFSP). The IICA algorithm adds the elite personal retention strategy, reform operation and the discrete processing on the basis of ICA algorithm. This paper uses an individual selection mechanism based on Hamming distance to improve the ability of initial solution. The prospect is to use the IICA to work out related problems in cloud computing environment. The scheduling problem in the cloud-computing environment needs to consider the optimization of the completion time and cost of using cloud resources. At last, simulation tests and example tests are used to check the usefulness of improved imperialist competition algorithm in solving LBFFSP problem. Compared with standard ICA, the improved ICA has improved in the algorithm evolution process. As such, scheme 4 has a better ability to evolve, and its evolution time is greater than that of scheme 3. Scheme 5 has the best algorithm optimization performance.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"2 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84801460","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
Green Landscape Design Based on Niche Genetic Algorithm for E-Business Solutions 电子商务解决方案中基于生态位遗传算法的绿色景观设计
Int. J. e Collab. Pub Date : 2022-03-01 DOI: 10.4018/ijec.304446
Guoxing Chen, Ashutosh Sharma
{"title":"Green Landscape Design Based on Niche Genetic Algorithm for E-Business Solutions","authors":"Guoxing Chen, Ashutosh Sharma","doi":"10.4018/ijec.304446","DOIUrl":"https://doi.org/10.4018/ijec.304446","url":null,"abstract":"In order to solve the unreasonable problems in green environmental protection design, this paper proposes a green building landscape space environment optimization design scheme based on niche genetic algorithm, which optimizes the building landscape size by multi-objective. The target of optimization includes the cost of building and public facilities such as green belt. The purpose of this article is to present an optimization design scheme using genetic algorithm that can optimize the size of landscape and cost reduction and providing facilities by processing the information. The results show that: People's satisfaction value of square and Pedestrian Street is 0.61 and 0.38, respectively. In conclusion it has been analyzed that the scientific planning and design of urban architectural landscape is of great significance to improve the urban appearance. It has been further concluded that the proposed approach enhances the quality of urban environment, development of urban economy and open to the outside world.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"3 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83597011","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
Missing Data Filling Algorithm for Big Data-Based Map-Reduce Technology 基于大数据的map -约简技术缺失数据填充算法
Int. J. e Collab. Pub Date : 2022-03-01 DOI: 10.4018/ijec.304036
Fugui Li, Ashutosh Sharma
{"title":"Missing Data Filling Algorithm for Big Data-Based Map-Reduce Technology","authors":"Fugui Li, Ashutosh Sharma","doi":"10.4018/ijec.304036","DOIUrl":"https://doi.org/10.4018/ijec.304036","url":null,"abstract":"In big data, the large number of missing values has a serious problem to compute the correct decision. This problem seriously affects the quality of information query, distorts data mining and analysis, and misleads the decisions. Therefore, in order to solve the missing values in the real database, we have pre populated the missing data, and filled in the classification attributes based on the probabilistic reasoning. The reasoning process is completed in Bayesian network to realize the parallelization of big data processing. The proposed algorithm has been presented in the Map-Reduce framework. The experimental results show that the Bayesian network construction method and probabilistic inference are effective for the classification data processing, and the parallelism of algorithm in Hadoop.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"7 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78651128","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
Stock Market Prediction Based on Big Data Using Deep Reinforcement Long Short-Term Memory Model 基于深度强化长短期记忆模型的大数据股市预测
Int. J. e Collab. Pub Date : 2022-03-01 DOI: 10.4018/ijec.304445
K. Ishwarappa, J. Anuradha
{"title":"Stock Market Prediction Based on Big Data Using Deep Reinforcement Long Short-Term Memory Model","authors":"K. Ishwarappa, J. Anuradha","doi":"10.4018/ijec.304445","DOIUrl":"https://doi.org/10.4018/ijec.304445","url":null,"abstract":"In this modern era, the stock market is one of the important platforms for several business developments to ensure their growth for upcoming years. Big data is another technical aspect of the stock market to import large amounts of stocks. Deep Reinforcement Long Short Term Memory (DRLSTM) model is proposed for achieving better prediction rate for stock market trends based on the technical indicators. Three most popular banking organizations data is obtained in real-time live stocks from the NIFTY-50 market data. The data is enclosed based on trading days from 2000 to 2020. The bid data approach known to be a Hadoop framework is used simultaneously to handle large amounts of data for processing through distributed storage. The experimental results are performed based on the mean squared error (MSE) for the proposed model which obtained a low error rate of 0.017% for SBI, 0.014% for HDFC, and 0.018% for BajajFin. The proposed model is evaluated and results are compared with other existing techniques which the RLSTM outperforms by obtaining a high accuracy rate.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"15 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84746428","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
Research on an Interactive Question Answering System of Artificial Intelligence Customer Service Based on Word2Vec 基于Word2Vec的人工智能客服交互式问答系统研究
Int. J. e Collab. Pub Date : 2022-03-01 DOI: 10.4018/ijec.304040
Jiong Zhang, Chunguang Zheng, Jing Yang, M. Usama
{"title":"Research on an Interactive Question Answering System of Artificial Intelligence Customer Service Based on Word2Vec","authors":"Jiong Zhang, Chunguang Zheng, Jing Yang, M. Usama","doi":"10.4018/ijec.304040","DOIUrl":"https://doi.org/10.4018/ijec.304040","url":null,"abstract":"In order to reduce the labor cost pressure of telecom operators' customer service and improve the service quality, the natural language analysis technology based on artificial intelligence technology will realize the automatic question and answer customer service.This paper proposes to obtain word vectors based on Word2vec model. By comparing the word vectors under different training model parameters, the results show that the low-frequency word threshold plays a better role in controlling the number of the final trained word vectors. The training results of SKIP-GRAM model are better than that of CBOW and the word list is more regular. Under the condition of making full use of the existing customer service knowledge resources, the new system will realize the goal of innovating service means, expanding customer service channels, diverting customer service pressure and improving service efficiency.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"93 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76207078","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
An Implementation of Outdoor Vehicle Localization and Tracking Using Automatic License Plate Recognition (ALPR) 利用自动车牌识别(ALPR)实现室外车辆定位与跟踪
Int. J. e Collab. Pub Date : 2022-03-01 DOI: 10.4018/ijec.304043
P. Kanakaraja, K. S. Kumar, L. S. Nadipalli, V. AswinKumerS., K. Kavya
{"title":"An Implementation of Outdoor Vehicle Localization and Tracking Using Automatic License Plate Recognition (ALPR)","authors":"P. Kanakaraja, K. S. Kumar, L. S. Nadipalli, V. AswinKumerS., K. Kavya","doi":"10.4018/ijec.304043","DOIUrl":"https://doi.org/10.4018/ijec.304043","url":null,"abstract":"Controlling the traffic in the metropolitan cities and the identification of the owner of a particular vehicle becomes a difficult task throughout the world. Though traffic police, interceptor units and CCTV surveillance system etc. are in place for implementation of road safety rules, if the vehicle violates the traffic rules then the system must identify the vehicle details as well as the owner of the vehicle but it is not easy, if the vehicle displacement is very high. In all these cases getting a glimpse of vehicle number plate of the miscreant helps in reducing the effort and time to track him down. Automatic License Plate Recognition (ALPR) is one of the solutions to this problem. In this paper the outdoor localization for crime investigation ALPR with Pressure-based localization is proposed to find out the vehicles. Camera in place will capture the image of the Number plate automatically using the Raspberry-Pi 4.The Pressure-based localization is implemented along with the Automatic license Plate Recognition to improve the accuracy and tracing the vehicles.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"63 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74251458","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
Classification of the Senescence-Accelerated Mouse (SAM) Strains With Its Behaviour Using Deep Learning 基于深度学习的衰老加速小鼠(SAM)品系行为分类
Int. J. e Collab. Pub Date : 2022-03-01 DOI: 10.4018/ijec.304035
S. Z. Alrashid, Mohammed Dosh, Ahmed J. Obaid
{"title":"Classification of the Senescence-Accelerated Mouse (SAM) Strains With Its Behaviour Using Deep Learning","authors":"S. Z. Alrashid, Mohammed Dosh, Ahmed J. Obaid","doi":"10.4018/ijec.304035","DOIUrl":"https://doi.org/10.4018/ijec.304035","url":null,"abstract":"Microarray technology is a novel method to monitor the levels of expression of a huge number of genes simultaneously.this study aims at (1) identifying the most important genes in the molecular senescence of the hippocampus and retina, where both with accelerated neurological senescence (S10 and 8) models were obtainable. By using feature selection to reduce the size of high dimensional data. Hence, the process of gene selection is twofold; removing the irrelevant genes and selecting the informative genes, and (2) The determination of the study is to specify the association among these genes or pathways that would deliver insight into the mechanism for this phenotype which will be greater to the current imperfect state-of-the-art estimates. In this study, gene selection methods have been implemented, including Analysis of Variance (ANOVA). The results are showed that CNN model achieve 0.98 accuracy based on a subset of genes from ANOVA method. Thus, Genes subset selected is achieved a better accuracy at classification and a little time of processing.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"42 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77308911","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
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