2015 International Conference on Computers, Communications, and Systems (ICCCS)最新文献_第5页

Multi-label text categorization based on feature optimization using ant colony optimization and relevance clustering technique 基于蚁群优化和相关聚类技术特征优化的多标签文本分类

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562842

P. Nema, Vivek Sharma

引用次数: 9

A fusion design method of transfer function 传递函数的融合设计方法

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562875

Yao Xiaoling, X. Lin, Wang Yanni

引用次数: 0

A comparative study of classification algorithms for predicting gestational risks in pregnant women 预测孕妇妊娠风险的分类算法比较研究

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562849

B. Lakshmi, T. Indumathi, N. Ravi

{"title":"A comparative study of classification algorithms for predicting gestational risks in pregnant women","authors":"B. Lakshmi, T. Indumathi, N. Ravi","doi":"10.1109/CCOMS.2015.7562849","DOIUrl":"https://doi.org/10.1109/CCOMS.2015.7562849","url":null,"abstract":"Pregnant women must be protected from complications during the period of gestation which is a stage every woman undergoes many physiological changes, sometimes inducing complications that may turn severe and lead to death of both mother and fetus. Classification methods are popularly used method whose algorithms are best suitable in medical diagnosis. Among them C4.5 Decision Tree algorithm and Naïve Bayes algorithm are effectively used for classifying medical data. Both algorithms are most capable to classify the pregnancy data of present research study. The main aim of this paper is to highlight concept of standardization of parameters selected for data collection in study to achieve elevated results of classification by selected classification algorithms. The paper also presents how efficiently risk levels can be predicted by the selected algorithms to protect pregnant women from complications in pregnant women health. Pregnancy data of present research study is considered for classifying and predicting complications leading to different risk levels during pregnancy. The best algorithm among selected two algorithms namely C4.5 and Naïve Bayes Classifier is identified in the paper for further improving the efficiency of selected classifier. By identifying the risks in pregnancy, present maternal and fetal mortality rate can be efficiently reduced to lower rates thus providing a safe pregnancy period, post natal period and a healthy baby to pregnant mothers.","PeriodicalId":149896,"journal":{"name":"2015 International Conference on Computers, Communications, and Systems (ICCCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116744052","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: 13

Wireless mobile charging: A revolution 无线移动充电:一场革命

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562884

Gamini Sharma, Dixit Soni, Ranjeeta Bhargava

引用次数: 0

An efficient implementation of generalized extreme studentized deviate (GESD) on field programmable gate array (FPGA) 在现场可编程门阵列(FPGA)上有效实现广义极端学生化偏差(GESD)

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562844

D. Priyantini, Yulistiyan Wardhana, M. Alhamidi, Dwi M. J. Purnomo, Aprinaldi, P. Mursanto, W. Jatmiko

引用次数: 1

Rotating target classification base on micro-Doppler features using a modified adaptive boosting algorithm 基于微多普勒特征的旋转目标分类改进自适应增强算法

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562907

Kun Chen, Yuehua Li, Xingjian Xu

引用次数: 7

M5 model tree and gene expression programming for the prediction of metrological parameters 计量参数预测的M5模型树和基因表达编程

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562850

Khalid Raza

引用次数: 4

Research on multimodal SBAS technology supporting precision single point positioning 支持精确单点定位的多模态SBAS技术研究

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562887

X. Gan, Baoguo Yu

引用次数: 0

Study on ASON route selection based on genetic algorithm 基于遗传算法的ASON路由选择研究

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2015-11-01 DOI: 10.1109/CCOMS.2015.7562886

Wei Li, Lisha Kong, X. Zhan, Junxiu Jin

引用次数: 2

High frequency content based framework for perceptual sharpness assessment in natural images 基于高频内容的自然图像感知清晰度评估框架

2015 International Conference on Computers, Communications, and Systems (ICCCS) Pub Date : 2014-12-17 DOI: 10.1109/CCOMS.2015.7562897

Ashirbani Saha, Q. M. J. Wu

{"title":"High frequency content based framework for perceptual sharpness assessment in natural images","authors":"Ashirbani Saha, Q. M. J. Wu","doi":"10.1109/CCOMS.2015.7562897","DOIUrl":"https://doi.org/10.1109/CCOMS.2015.7562897","url":null,"abstract":"A blind approach to evaluate the perceptual sharpness present in a natural image is proposed. Though the existing literature demonstrates a set of variegated visual cues to detect or evaluate the absence or presence of sharpness, we emphasize in the current work that high frequency content and local standard deviation can form strong features to compute perceived sharpness in any natural image, and can be considered an able alternative for the existing cues. Unsharp areas in a natural image happen to exhibit uniform intensity or lack of sharp changes between regions. Sharp region transitions in an image are caused by the presence of spatial high frequency content. Therefore, in the proposed framework, we hypothesize that using the high frequency content as the principal stimulus, the perceived sharpness can be quantified in an image. Using extensive experiments, the performance of the proposed framework is demonstrated in terms of different filters and varying pooling strategies. The experiments conducted on four publicly available databases demonstrate improved performance of the proposed framework over that of the state-of-the-art techniques for blind evaluation of perceptual degradation resulting due to the presence of blur.","PeriodicalId":149896,"journal":{"name":"2015 International Conference on Computers, Communications, and Systems (ICCCS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126862938","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