Int. J. Artif. Intell. Soft Comput.最新文献_第3页

A classifier fusion strategy to improve the early detection of neurodegenerative diseases 一种分类器融合策略提高神经退行性疾病的早期检测

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-02-01 DOI: 10.1504/IJAISC.2015.067525

S. Iram, P. Fergus, D. Al-Jumeily, A. Hussain, M. Randles

{"title":"A classifier fusion strategy to improve the early detection of neurodegenerative diseases","authors":"S. Iram, P. Fergus, D. Al-Jumeily, A. Hussain, M. Randles","doi":"10.1504/IJAISC.2015.067525","DOIUrl":"https://doi.org/10.1504/IJAISC.2015.067525","url":null,"abstract":"People in developed countries are living longer, and this has resulted in the prevalence of age-related diseases like Alzheimer's and dementia. Many believe that the early detection of neurodegenerative diseases will provide a much more sustainable framework for dealing with age-related diseases in the future. This paper considers this idea and proposes a new classifier fusion strategy that combines classification algorithms and rules voting, product, mean, median, maximum and minimum to measure specific behaviours in people suffering with neurodegenerative diseases. More specifically, the fusion strategy analyses the stride-to-stride intervals in gait and its correlation with neurological functions. This approach is compared with base level classifiers a single classification algorithm using a set of feature vectors associated with gait patterns obtained from neurodegenerative patients and healthy people. The results show that the fusion strategy improves classification. Our experiments successfully show that a fusion strategy generates better results and classifies subjects more accurately than base level classifiers.","PeriodicalId":364571,"journal":{"name":"Int. J. Artif. Intell. Soft Comput.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125337547","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: 5

A comparative study of multimodal digital map interface designs for blind users 面向盲人用户的多模式数字地图界面设计比较研究

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-02-01 DOI: 10.1504/IJAISC.2015.067526

Neil Morgan, Mohammed Saeed

引用次数: 2

Predicting financial time series data using artificial immune system-inspired neural networks 利用人工免疫系统启发的神经网络预测金融时间序列数据

Int. J. Artif. Intell. Soft Comput. Pub Date : 2015-02-01 DOI: 10.1504/IJAISC.2015.067523

H. Alaskar, D. Lamb, A. Hussain, D. Al-Jumeily, M. Randles, P. Fergus

{"title":"Predicting financial time series data using artificial immune system-inspired neural networks","authors":"H. Alaskar, D. Lamb, A. Hussain, D. Al-Jumeily, M. Randles, P. Fergus","doi":"10.1504/IJAISC.2015.067523","DOIUrl":"https://doi.org/10.1504/IJAISC.2015.067523","url":null,"abstract":"This paper investigates a set of approaches for the prediction of noisy time series data; specifically, the prediction of financial signals. A novel dynamic self-organised multilayer neural network based on the immune algorithm for financial time series prediction is presented, combining the properties of both recurrent and self-organised neural networks. In an attempt to overcome inherent stability and convergence problems, the network is derived to ensure that it reaches a unique equilibrium state. The accuracy of the comparative evaluation is enhanced in terms of profit earning; empirical testing used in this work includes normalised mean square error NMSE to evaluate forecast fitness and also evaluates predictions against financial metrics to assess profit generation. Extensive simulations for multi-step prediction in stationary and non-stationary time series were performed. The resulting forecast made by the proposed network shows substantial profits on financial historical signals when compared to various solely neural network approaches. These simulations suggest that dynamic immunology-based self-organised neural networks have a better ability to capture the chaotic movement in financial signals.","PeriodicalId":364571,"journal":{"name":"Int. J. Artif. Intell. Soft Comput.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131300606","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: 8

Estimation of average monthly rainfall with neighbourhood values: comparative study between soft computing and statistical approach 邻值估算月平均降雨量:软计算与统计方法的比较研究

Int. J. Artif. Intell. Soft Comput. Pub Date : 2014-11-01 DOI: 10.1504/IJAISC.2014.065799

B. Datta, Susanta Mitra, S. Pal

引用次数: 3

Pruned-bimodular neural networks for modelling of strength-ductility balance of HSLA steel plates 基于剪枝双模神经网络的HSLA钢板强度-延性平衡建模

Int. J. Artif. Intell. Soft Comput. Pub Date : 2014-11-01 DOI: 10.1504/IJAISC.2014.065802

P. Das, F. Pettersson, Shubhabrata Dutta

引用次数: 4

A new approach for unsupervised word sense disambiguation in Hindi language using graph connectivity measures 一种基于图连通性测度的无监督印地语词义消歧新方法

Int. J. Artif. Intell. Soft Comput. Pub Date : 2014-11-01 DOI: 10.1504/IJAISC.2014.065800

Amita Jain, D. K. Lobiyal

引用次数: 6

Knowledge constrained evolutionary algorithms: a case study for financial investing 知识约束的进化算法:金融投资的案例研究

Int. J. Artif. Intell. Soft Comput. Pub Date : 2014-11-01 DOI: 10.1504/IJAISC.2014.065801

Jie Du, H. Wimmer, R. Rada

引用次数: 1

Human gait recognition system based on shadow free silhouettes using truncated singular value decomposition transformation model 基于截断奇异值分解变换模型的无阴影轮廓人体步态识别系统

Int. J. Artif. Intell. Soft Comput. Pub Date : 2014-11-01 DOI: 10.1504/IJAISC.2014.065798

Rohit Katiyar, V. Pathak, K. V. Arya

{"title":"Human gait recognition system based on shadow free silhouettes using truncated singular value decomposition transformation model","authors":"Rohit Katiyar, V. Pathak, K. V. Arya","doi":"10.1504/IJAISC.2014.065798","DOIUrl":"https://doi.org/10.1504/IJAISC.2014.065798","url":null,"abstract":"In present scenario biometrics system are getting popular day by day and they are classified based on subject's cooperation and non-cooperation nature. Gait biometrics is one of the popularly traits used for person identification. The gait biometrics has an edge over the other biometrics traits as it works well even if the subject is not cooperative. The multiple problems such as shadow detection, removal of moving subjects in visual surveillance, less number of gallery probes in different conditions and existence of multiple views in the data are encountered due to surveillance camera and affect the performance of the gait recognition system. In this paper, we used three algorithms to overcome these problems up to an extent. In first algorithm, photometric properties based method is used to remove shadows at the time of silhouette generation from the recorded video. Then, an algorithm for synthetic gait energy image (GEI) templates generation employed to increase the corresponding gallery probes dataset and finally, singular value decomposition transformation is applied to transform the gait feature from one view to another. The performance of the proposed algorithm is experimentally validated on a benchmark dataset of indoor as well as outdoor video sequences by comparing it with the existing algorithms.","PeriodicalId":364571,"journal":{"name":"Int. J. Artif. Intell. Soft Comput.","volume":"113 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133488544","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: 5

Trusted and load-balanced ant-based routing in mobile ad hoc networks 移动自组织网络中基于可信和负载均衡的蚁群路由

Int. J. Artif. Intell. Soft Comput. Pub Date : 2014-06-01 DOI: 10.1504/IJAISC.2014.062825

V. Aakanksha, Ravish Sharma, Punam Bedi

引用次数: 0

Fuzzy multi-objective build-or-buy approach for component selection of fault tolerant software system under consensus recovery block scheme with mandatory redundancy in critical modules 关键模块强制冗余共识恢复块方案下容错软件系统组件选择的模糊多目标“建或买”方法

Int. J. Artif. Intell. Soft Comput. Pub Date : 2014-06-01 DOI: 10.1504/IJAISC.2014.062815

S. Bali, P. Jha, U. Kumar, H. Pham

{"title":"Fuzzy multi-objective build-or-buy approach for component selection of fault tolerant software system under consensus recovery block scheme with mandatory redundancy in critical modules","authors":"S. Bali, P. Jha, U. Kumar, H. Pham","doi":"10.1504/IJAISC.2014.062815","DOIUrl":"https://doi.org/10.1504/IJAISC.2014.062815","url":null,"abstract":"During the last two decades, there has been a growing interest in component-based software engineering CBSE both in academia and industry. In component-based system development, it is common to identify software modules first. Once they are identified, we need to select appropriate software components for each module. These components can either be bought as commercial off-the-shelf COTS components and probably adapted to work in the software system or can be developed in-house. This is a 'build-or-buy' decision. This paper discusses a framework that helps a developer to decide whether to buy or to build software components while designing a fault-tolerant modular software system. This paper proposes optimisation models for optimal component selection for a fault-tolerant modular software system under the consensus recovery block scheme. It is necessary to identify critical modules in the design of a fault-tolerant modular software system and also to develop a system with a built in redundancy for critical modules. Therefore, the first optimisation model is developed for optimal component selection with the dual objective of reliability maximisation and cost minimisation of the overall system under the constraints on the delivery time and criticality of modules. The second optimisation model is an extension of the first optimisation model and discusses the issue of compatibility of components of modules. In practice, it is not possible for management to obtain precise value of reliability, cost, delivery time, etc., therefore both the models are formulated as fuzzy multi-objective optimisation models. A case study of developing a manufacturing system for medium-size enterprise is used to illustrate the proposed methodology.","PeriodicalId":364571,"journal":{"name":"Int. J. Artif. Intell. Soft Comput.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133893400","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: 10