Pub Date : 2020-05-04DOI: 10.1142/s1469026820500066
Safia Bekhouche, Y. M. B. Ali
G-Protein-Coupled Receptors (GPCR) are the large family of protein membrane; and until now some of them still remain orphans. Predicting GPCR functions is a challenging task, it depends closely to ...
{"title":"Feature Selection in GPCR Classification Using BAT Algorithm","authors":"Safia Bekhouche, Y. M. B. Ali","doi":"10.1142/s1469026820500066","DOIUrl":"https://doi.org/10.1142/s1469026820500066","url":null,"abstract":"G-Protein-Coupled Receptors (GPCR) are the large family of protein membrane; and until now some of them still remain orphans. Predicting GPCR functions is a challenging task, it depends closely to ...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116525273","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 : 2020-04-13DOI: 10.1142/s1469026820500042
Xuejian Wang, M. Fairhurst, A. Canuto
In the context of facial expression recognition (FER), this paper reviews the fundamental theories of emotions and further explains the key dimensions of a defined emotional space. The main contrib...
{"title":"Determining Subcategories of Facial Expressions for Improved Performance in Practical Applications","authors":"Xuejian Wang, M. Fairhurst, A. Canuto","doi":"10.1142/s1469026820500042","DOIUrl":"https://doi.org/10.1142/s1469026820500042","url":null,"abstract":"In the context of facial expression recognition (FER), this paper reviews the fundamental theories of emotions and further explains the key dimensions of a defined emotional space. The main contrib...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132749480","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 : 2020-04-13DOI: 10.1142/s1469026820500078
R. Mansour
The exponential upward push in breast cancer cases across the globe has alarmed academia-industries to obtain certain more effect and strong Breast cancer laptop Aided prognosis (BC-CAD) device for...
{"title":"A Robust Deep Neural Network Based Breast Cancer Detection and Classification","authors":"R. Mansour","doi":"10.1142/s1469026820500078","DOIUrl":"https://doi.org/10.1142/s1469026820500078","url":null,"abstract":"The exponential upward push in breast cancer cases across the globe has alarmed academia-industries to obtain certain more effect and strong Breast cancer laptop Aided prognosis (BC-CAD) device for...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"15 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133596045","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 : 2020-04-13DOI: 10.1142/s1469026820500017
A. Otmani, M. Bouabaz, A. Al-Hajj
In this paper, the study aims to develop a model for predicting and budgeting maintenance and rehabilitation projects costs for residential buildings throughout their life cycle based on artificial...
本文旨在建立一个基于人工成本的住宅建筑全生命周期维修与修复工程成本预测与预算模型。
{"title":"Predicting Maintenance and Rehabilitation Cost for Buildings Based on Artificial Neural Network and Fuzzy Logic","authors":"A. Otmani, M. Bouabaz, A. Al-Hajj","doi":"10.1142/s1469026820500017","DOIUrl":"https://doi.org/10.1142/s1469026820500017","url":null,"abstract":"In this paper, the study aims to develop a model for predicting and budgeting maintenance and rehabilitation projects costs for residential buildings throughout their life cycle based on artificial...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134324378","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 : 2020-04-13DOI: 10.1142/s1469026820500029
M.S. Mahmud, J. Huang, Xianghua Fu
Classification problems in which the number of features (dimensions) is unduly higher than the number of samples (observations) is an essential research and application area in a variety of domains...
特征数(维数)过高高于样本数(观测值)的分类问题是许多领域中必不可少的研究和应用领域。
{"title":"Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification","authors":"M.S. Mahmud, J. Huang, Xianghua Fu","doi":"10.1142/s1469026820500029","DOIUrl":"https://doi.org/10.1142/s1469026820500029","url":null,"abstract":"Classification problems in which the number of features (dimensions) is unduly higher than the number of samples (observations) is an essential research and application area in a variety of domains...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131550957","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 : 2020-04-13DOI: 10.1142/s1469026820500091
M. Abdulgader, D. Kaur
In this paper, a Sugeno type fuzzy system based on the fuzzy clustering has been developed for a variety of datasets. The number of rules for each dataset is based on the optimum number of clusters...
{"title":"Optimizing Nonlinear Parameters of Sugeno Type Fuzzy Rules using GWO for Data Classification","authors":"M. Abdulgader, D. Kaur","doi":"10.1142/s1469026820500091","DOIUrl":"https://doi.org/10.1142/s1469026820500091","url":null,"abstract":"In this paper, a Sugeno type fuzzy system based on the fuzzy clustering has been developed for a variety of datasets. The number of rules for each dataset is based on the optimum number of clusters...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127258244","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 : 2020-03-01DOI: 10.1142/s146902682050008x
Dongli Jia, Teng Li, Yufei Zhang, Haijiang Wang
This work proposed a memetic version of Artificial Bee Colony algorithm, or called LSABC, which employed a “shrinking” local search strategy. By gradually shrinking the local search space along with the optimization process, the proposed LSABC algorithm randomly explores a large space in the early run time. This helps to avoid premature convergence. Then in the later evolution process, the LSABC finely exploits a small region around the current best solution to achieve a more accurate output value. The optimization behavior of the LSABC algorithm was studied and analyzed in the work. Compared with the classic ABC and several other state-of-the-art optimization algorithms, the LSABC shows a better performance in terms of convergence rate and quality of results for high-dimensional problems.
{"title":"A Memetic Artificial Bee Colony Algorithm for High Dimensional Problems","authors":"Dongli Jia, Teng Li, Yufei Zhang, Haijiang Wang","doi":"10.1142/s146902682050008x","DOIUrl":"https://doi.org/10.1142/s146902682050008x","url":null,"abstract":"This work proposed a memetic version of Artificial Bee Colony algorithm, or called LSABC, which employed a “shrinking” local search strategy. By gradually shrinking the local search space along with the optimization process, the proposed LSABC algorithm randomly explores a large space in the early run time. This helps to avoid premature convergence. Then in the later evolution process, the LSABC finely exploits a small region around the current best solution to achieve a more accurate output value. The optimization behavior of the LSABC algorithm was studied and analyzed in the work. Compared with the classic ABC and several other state-of-the-art optimization algorithms, the LSABC shows a better performance in terms of convergence rate and quality of results for high-dimensional problems.","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129481303","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}
Selfish herd optimizer (SHO) is a new optimization algorithm. However, its optimization performance is not satisfactory. The main reason for this phenomenon is the weak global search ability of SHO. In this paper, in order to increase the global search ability of SHO, we add Levy-flight distribution strategy. To verify the performance of the proposed algorithm, we use 10 benchmark functions as test cases. Experiment results show that our algorithm is more competitive.
{"title":"Modified Selfish Herd Optimizer for Function Optimization","authors":"Ruxin Zhao, Yongli Wang, Chang Liu, Peng Hu, Yanchao Li, Hao Li, Chi Yuan","doi":"10.1142/s1469026820500030","DOIUrl":"https://doi.org/10.1142/s1469026820500030","url":null,"abstract":"Selfish herd optimizer (SHO) is a new optimization algorithm. However, its optimization performance is not satisfactory. The main reason for this phenomenon is the weak global search ability of SHO. In this paper, in order to increase the global search ability of SHO, we add Levy-flight distribution strategy. To verify the performance of the proposed algorithm, we use 10 benchmark functions as test cases. Experiment results show that our algorithm is more competitive.","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134398840","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 : 2019-12-18DOI: 10.1142/s1469026819500263
P. Jadhav, S. Joshi
Model Transformation (MT) has led the researchers to concentrate more in the field of software engineering. MT focuses mainly on transforming the input model to the target model to make it easily u...
{"title":"WOADF: Whale Optimization Integrated Adaptive Dragonfly Algorithm Enabled with the TDD Properties for Model Transformation","authors":"P. Jadhav, S. Joshi","doi":"10.1142/s1469026819500263","DOIUrl":"https://doi.org/10.1142/s1469026819500263","url":null,"abstract":"Model Transformation (MT) has led the researchers to concentrate more in the field of software engineering. MT focuses mainly on transforming the input model to the target model to make it easily u...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123616211","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 : 2019-12-03DOI: 10.1142/s146902681950024x
G. N. Reddy, S. Kumar
Cloud computing is the advancing technology that aims at providing services to the customers with the available resources in the cloud environment. When the multiple users request service from the ...
云计算是一种先进的技术，旨在利用云环境中的可用资源为客户提供服务。当多个用户向…
{"title":"Regressive Whale Optimization for Workflow Scheduling in Cloud Computing","authors":"G. N. Reddy, S. Kumar","doi":"10.1142/s146902681950024x","DOIUrl":"https://doi.org/10.1142/s146902681950024x","url":null,"abstract":"Cloud computing is the advancing technology that aims at providing services to the customers with the available resources in the cloud environment. When the multiple users request service from the ...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115406803","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：