Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.131826
Lixia Zhang, Kangshun Li, Yu Qi
{"title":"Recognition of crop leaf diseases based on multi-feature fusion and evolutionary algorithm optimisation","authors":"Lixia Zhang, Kangshun Li, Yu Qi","doi":"10.1504/ijbic.2023.131826","DOIUrl":"https://doi.org/10.1504/ijbic.2023.131826","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"30 1","pages":"163-173"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89951834","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/ijbic.2023.132789
Aishwaryaprajna, T. Kirubarajan, R. Tharmarasa, J. Rowe
{"title":"UAV path planning in presence of occlusions as noisy combinatorial multi-objective optimisation","authors":"Aishwaryaprajna, T. Kirubarajan, R. Tharmarasa, J. Rowe","doi":"10.1504/ijbic.2023.132789","DOIUrl":"https://doi.org/10.1504/ijbic.2023.132789","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"57 1","pages":"209-217"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85889218","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/ijbic.2023.132786
Weiwei Yu, Li Zhang, Ning Ge, Hang Jia, Hui Wang
{"title":"Collaborative manufacturing operation mode and modelling simulation of manufacturing enterprise based on collective intelligence","authors":"Weiwei Yu, Li Zhang, Ning Ge, Hang Jia, Hui Wang","doi":"10.1504/ijbic.2023.132786","DOIUrl":"https://doi.org/10.1504/ijbic.2023.132786","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"14 1","pages":"218-229"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84713328","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/ijbic.2022.10053699
Aniket Nargundkar, A. Kulkarni
{"title":"Application of cohort intelligence algorithm for goal programming problems with improved constraint handling method","authors":"Aniket Nargundkar, A. Kulkarni","doi":"10.1504/ijbic.2022.10053699","DOIUrl":"https://doi.org/10.1504/ijbic.2022.10053699","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"63 1","pages":"94-105"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77711450","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/ijbic.2022.10053950
Fenggang Yuan, Hiroyoshi Todo, Cheng Tang, Zheng Tang, Yuki Todo
{"title":"A model of the starburst amacrine cell for motion direction detection","authors":"Fenggang Yuan, Hiroyoshi Todo, Cheng Tang, Zheng Tang, Yuki Todo","doi":"10.1504/ijbic.2022.10053950","DOIUrl":"https://doi.org/10.1504/ijbic.2022.10053950","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"43 1","pages":"69-80"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90322292","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/ijbic.2023.131918
S. Suman, D. Chatterjee, R. Mohanty
{"title":"Power quality improvement for microgrid-connected PV-based converters under partial shading conditions using mixed optimisation algorithms","authors":"S. Suman, D. Chatterjee, R. Mohanty","doi":"10.1504/ijbic.2023.131918","DOIUrl":"https://doi.org/10.1504/ijbic.2023.131918","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"9 1","pages":"123-136"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85312580","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/ijbic.2023.130550
Jing Jie, Rui Dai, Hui Zheng, Miao Zhang, Lu Lu
{"title":"Adaptive surrogate-based swarm intelligence algorithm and its application in wastewater treatment processes","authors":"Jing Jie, Rui Dai, Hui Zheng, Miao Zhang, Lu Lu","doi":"10.1504/ijbic.2023.130550","DOIUrl":"https://doi.org/10.1504/ijbic.2023.130550","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"35 1","pages":"81-93"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89480121","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/ijbic.2022.10054196
Chao Ma, Jing An, Jing Xu, BinChen Xu, Luyuan Xu, Xiang-En Bai
{"title":"Chinese machine reading comprehension based on deep learning neural network","authors":"Chao Ma, Jing An, Jing Xu, BinChen Xu, Luyuan Xu, Xiang-En Bai","doi":"10.1504/ijbic.2022.10054196","DOIUrl":"https://doi.org/10.1504/ijbic.2022.10054196","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"27 1","pages":"137-147"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83487662","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/ijbic.2023.10055199
S. Prabhu, P. Kalpana, Vijayakumar Polepally, Dattaraj J. Rao
This paper proposes a particle squirrel search optimisation-based deep recurrent neural network (PSSO-based DRNN) to predict the coronavirus epidemic (COVID). Here, the cloud-based Hadoop framework is used to perform the prediction process by involving the mapper and reducer phases. Initially, the technical indicators are extracted from the time series data. Then, the deep belief network (DBN) is employed for feature selection from the technical indicators. After that, the COVID prediction is done by the DRNN classifier trained using the PSSO algorithm. The PSSO is developed by the integration of particle swam optimisation (PSO) and squirrel search algorithm (SSA). The PSSO-based DRNN is compared with existing methods and obtained minimal MSE and RMSE of 0.0523, and 0.2287 by considering affected cases. By considering death cases, the proposed method achieved minimal MSE and RMSE of 0.0010, and 0.0323 and measured minimum MSE of 0.0049 and minimum RMSE of 0.0702 for recovered cases.
{"title":"Deep recurrent neural network-based Hadoop framework for COVID prediction with applications to big data in cloud computing","authors":"S. Prabhu, P. Kalpana, Vijayakumar Polepally, Dattaraj J. Rao","doi":"10.1504/ijbic.2023.10055199","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10055199","url":null,"abstract":"This paper proposes a particle squirrel search optimisation-based deep recurrent neural network (PSSO-based DRNN) to predict the coronavirus epidemic (COVID). Here, the cloud-based Hadoop framework is used to perform the prediction process by involving the mapper and reducer phases. Initially, the technical indicators are extracted from the time series data. Then, the deep belief network (DBN) is employed for feature selection from the technical indicators. After that, the COVID prediction is done by the DRNN classifier trained using the PSSO algorithm. The PSSO is developed by the integration of particle swam optimisation (PSO) and squirrel search algorithm (SSA). The PSSO-based DRNN is compared with existing methods and obtained minimal MSE and RMSE of 0.0523, and 0.2287 by considering affected cases. By considering death cases, the proposed method achieved minimal MSE and RMSE of 0.0010, and 0.0323 and measured minimum MSE of 0.0049 and minimum RMSE of 0.0702 for recovered cases.","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"4 1","pages":"36-47"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84950126","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/ijbic.2023.10055212
Tingting Dong, L. Zhou, Lei Chen, Yanxing Song, Hengliang Tang, Huilin Qin
{"title":"A hybrid algorithm for workflow scheduling in cloud environment","authors":"Tingting Dong, L. Zhou, Lei Chen, Yanxing Song, Hengliang Tang, Huilin Qin","doi":"10.1504/ijbic.2023.10055212","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10055212","url":null,"abstract":"","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":"1 1","pages":"48-56"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82944181","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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