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Feature Selection in GPCR Classification Using BAT Algorithm 基于BAT算法的GPCR分类特征选择
Int. J. Comput. Intell. Appl. Pub Date : 2020-05-04 DOI: 10.1142/s1469026820500066
Safia Bekhouche, Y. M. B. Ali
{"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}
引用次数: 0
Determining Subcategories of Facial Expressions for Improved Performance in Practical Applications 确定面部表情的子类别以提高实际应用中的表现
Int. J. Comput. Intell. Appl. Pub Date : 2020-04-13 DOI: 10.1142/s1469026820500042
Xuejian Wang, M. Fairhurst, A. Canuto
{"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}
引用次数: 0
A Robust Deep Neural Network Based Breast Cancer Detection and Classification 基于鲁棒深度神经网络的乳腺癌检测与分类
Int. J. Comput. Intell. Appl. Pub Date : 2020-04-13 DOI: 10.1142/s1469026820500078
R. Mansour
{"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}
引用次数: 19
Predicting Maintenance and Rehabilitation Cost for Buildings Based on Artificial Neural Network and Fuzzy Logic 基于人工神经网络和模糊逻辑的建筑物维修修复成本预测
Int. J. Comput. Intell. Appl. Pub Date : 2020-04-13 DOI: 10.1142/s1469026820500017
A. Otmani, M. Bouabaz, A. Al-Hajj
{"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}
引用次数: 2
Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification 基于变分自编码器的高维小样本数据分类降维方法
Int. J. Comput. Intell. Appl. Pub Date : 2020-04-13 DOI: 10.1142/s1469026820500029
M.S. Mahmud, J. Huang, Xianghua Fu
{"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}
引用次数: 14
Optimizing Nonlinear Parameters of Sugeno Type Fuzzy Rules using GWO for Data Classification 用GWO算法优化Sugeno型模糊规则的非线性参数
Int. J. Comput. Intell. Appl. Pub Date : 2020-04-13 DOI: 10.1142/s1469026820500091
M. Abdulgader, D. Kaur
{"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}
引用次数: 0
A Memetic Artificial Bee Colony Algorithm for High Dimensional Problems 求解高维问题的模因人工蜂群算法
Int. J. Comput. Intell. Appl. Pub Date : 2020-03-01 DOI: 10.1142/s146902682050008x
Dongli Jia, Teng Li, Yufei Zhang, Haijiang Wang
{"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}
引用次数: 2
Modified Selfish Herd Optimizer for Function Optimization 改进的自私羊群优化器的功能优化
Int. J. Comput. Intell. Appl. Pub Date : 2020-03-01 DOI: 10.1142/s1469026820500030
Ruxin Zhao, Yongli Wang, Chang Liu, Peng Hu, Yanchao Li, Hao Li, Chi Yuan
{"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}
引用次数: 1
WOADF: Whale Optimization Integrated Adaptive Dragonfly Algorithm Enabled with the TDD Properties for Model Transformation WOADF:鲸鱼优化集成自适应蜻蜓算法，支持TDD属性用于模型转换
Int. J. Comput. Intell. Appl. Pub Date : 2019-12-18 DOI: 10.1142/s1469026819500263
P. Jadhav, S. Joshi
{"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}
引用次数: 9
Regressive Whale Optimization for Workflow Scheduling in Cloud Computing 云计算中工作流调度的回归鲸鱼优化
Int. J. Comput. Intell. Appl. Pub Date : 2019-12-03 DOI: 10.1142/s146902681950024x
G. N. Reddy, S. Kumar
{"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}
引用次数: 6
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