Pub Date : 2023-01-01DOI: 10.1504/ijica.2023.10054516
H. Drias, Lydia Nahla Driff
{"title":"Fuzzy improved firefly-based MapReduce for association rule mining","authors":"H. Drias, Lydia Nahla Driff","doi":"10.1504/ijica.2023.10054516","DOIUrl":"https://doi.org/10.1504/ijica.2023.10054516","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66986966","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}
Pub Date : 2023-01-01DOI: 10.1504/ijica.2023.10054507
J. M. R. Tavares, V. Machado, Justino Santos, R. Veras, A. Santana, L. Vogado, M. Claro
{"title":"Detecting acute leukaemia in blood slides images using a CNN ensemble","authors":"J. M. R. Tavares, V. Machado, Justino Santos, R. Veras, A. Santana, L. Vogado, M. Claro","doi":"10.1504/ijica.2023.10054507","DOIUrl":"https://doi.org/10.1504/ijica.2023.10054507","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66987225","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}
Pub Date : 2023-01-01DOI: 10.1504/ijica.2023.10059771
Purnima Pandit, Shardav Bhatt
{"title":"Automatic speech recognition of Gujarati digits using wavelet coefficients in machine learning algorithms","authors":"Purnima Pandit, Shardav Bhatt","doi":"10.1504/ijica.2023.10059771","DOIUrl":"https://doi.org/10.1504/ijica.2023.10059771","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136305776","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}
Pub Date : 2023-01-01DOI: 10.1504/ijica.2023.134212
Somya Jain, Adwitiya Sinha
Social network analysis provides quantifiable methods and topological metrics to examine the networked structure for several interdisciplinary applications. In our research, a social network of GitHub community is constructed that forms a dense network of 37,700 developers with 289,003 associations amongst them. The research involves finding the central developers in the GitHub network using graph analytics and benchmark centrality metrics, including degree, betweenness, closeness, PageRank and eigenvector; which is based upon network structural information. Our research methodology provides a breakthrough towards predicting the classification of GitHub users using artificial intelligence-based learning model trained with derived topological network centrality metrics. The proposed approach performs feature extraction for the developers by computing centrality score of each user followed by building correlation matrix using centrality parameters based on network topology. Further, the derived topological centrality scores were used as input features to train and build artificial intelligence-based models for classification. Our experimentation is better performance of artificial neural network over autoencoders, logistic regression and hyper-parameter tuned support vector machine. Certain intermediate outcomes include correlation, principal component analysis, loss monitoring, etc. The performance evaluation was performed in terms of macro and weighted F1-score, recall, precision, and accuracy.
{"title":"Deep learning intelligence for influencer-based topological classification for online social networks","authors":"Somya Jain, Adwitiya Sinha","doi":"10.1504/ijica.2023.134212","DOIUrl":"https://doi.org/10.1504/ijica.2023.134212","url":null,"abstract":"Social network analysis provides quantifiable methods and topological metrics to examine the networked structure for several interdisciplinary applications. In our research, a social network of GitHub community is constructed that forms a dense network of 37,700 developers with 289,003 associations amongst them. The research involves finding the central developers in the GitHub network using graph analytics and benchmark centrality metrics, including degree, betweenness, closeness, PageRank and eigenvector; which is based upon network structural information. Our research methodology provides a breakthrough towards predicting the classification of GitHub users using artificial intelligence-based learning model trained with derived topological network centrality metrics. The proposed approach performs feature extraction for the developers by computing centrality score of each user followed by building correlation matrix using centrality parameters based on network topology. Further, the derived topological centrality scores were used as input features to train and build artificial intelligence-based models for classification. Our experimentation is better performance of artificial neural network over autoencoders, logistic regression and hyper-parameter tuned support vector machine. Certain intermediate outcomes include correlation, principal component analysis, loss monitoring, etc. The performance evaluation was performed in terms of macro and weighted F1-score, recall, precision, and accuracy.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136306585","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}
Pub Date : 2023-01-01DOI: 10.1504/ijica.2023.134206
Maryam Mohammadi Sarpiri, Keyvan Mohebbi, Ali Jamshidi
To decrease the cost of software testing, we can run a subset of test cases, but this may result in residual faults. To keep the efficiency of testing, the most important test cases should be selected through a prioritisation approach. Such prioritisation requires the assessment of different criteria, so it can be formulated as a multi-criteria decision-making (MCDM) problem. This research proposes an approach to select the proper subset of test cases using the MCDM methods. Three MCDM methods, namely, fuzzy SAW, fuzzy VIKOR, and fuzzy TOPSIS are applied to prioritise the test cases concerning various criteria. To select a subset of test cases, a threshold is determined for different pairs of the most important criteria. The proposed approach is applied to an actual e-government software system with two variants. The experimental evaluations indicate the efficiency of this approach with respect to both the failure rate and the average percentage of fault detection metrics.
{"title":"Prioritising test cases to improve the software fault detection using MCDM methods","authors":"Maryam Mohammadi Sarpiri, Keyvan Mohebbi, Ali Jamshidi","doi":"10.1504/ijica.2023.134206","DOIUrl":"https://doi.org/10.1504/ijica.2023.134206","url":null,"abstract":"To decrease the cost of software testing, we can run a subset of test cases, but this may result in residual faults. To keep the efficiency of testing, the most important test cases should be selected through a prioritisation approach. Such prioritisation requires the assessment of different criteria, so it can be formulated as a multi-criteria decision-making (MCDM) problem. This research proposes an approach to select the proper subset of test cases using the MCDM methods. Three MCDM methods, namely, fuzzy SAW, fuzzy VIKOR, and fuzzy TOPSIS are applied to prioritise the test cases concerning various criteria. To select a subset of test cases, a threshold is determined for different pairs of the most important criteria. The proposed approach is applied to an actual e-government software system with two variants. The experimental evaluations indicate the efficiency of this approach with respect to both the failure rate and the average percentage of fault detection metrics.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307773","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}
Pub Date : 2023-01-01DOI: 10.1504/ijica.2023.10051410
Ravi N.A.
{"title":"Fuzzy based MPPT Control for solar PV Applications","authors":"Ravi N.A.","doi":"10.1504/ijica.2023.10051410","DOIUrl":"https://doi.org/10.1504/ijica.2023.10051410","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66987214","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}
Pub Date : 2022-01-01DOI: 10.1504/IJICA.2022.10039108
Adam Santos, Raimundo Neto, Victor Souza, L. Araújo, L. Silva
{"title":"Convolutional neural networks applied in the detection of pneumonia by X-ray images","authors":"Adam Santos, Raimundo Neto, Victor Souza, L. Araújo, L. Silva","doi":"10.1504/IJICA.2022.10039108","DOIUrl":"https://doi.org/10.1504/IJICA.2022.10039108","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66985249","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}
Pub Date : 2022-01-01DOI: 10.1504/ijica.2022.10050688
Yunsheng Fan, Kaisheng Xing, G. Wan, Tinghao Yi, Guofeng Wang
{"title":"A robot-soldering workstation combined with the deep learning and the template matching technology","authors":"Yunsheng Fan, Kaisheng Xing, G. Wan, Tinghao Yi, Guofeng Wang","doi":"10.1504/ijica.2022.10050688","DOIUrl":"https://doi.org/10.1504/ijica.2022.10050688","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66986410","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}
Pub Date : 2022-01-01DOI: 10.1504/ijica.2022.10053562
Huanghuang Lu, Hu Peng, Changshou Deng
{"title":"Enhancing cuckoo search algorithm with complement strategy","authors":"Huanghuang Lu, Hu Peng, Changshou Deng","doi":"10.1504/ijica.2022.10053562","DOIUrl":"https://doi.org/10.1504/ijica.2022.10053562","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66986664","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}
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