|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Bio-diesel as an alternative fuel for diesel engines—A review显示文摘 | A. Murugesan C. Umarani R. Subramanian N. Nedunchezhian | 2007 | Renewable and Sustainable Energy Reviews2007，，3： | 2 |
| 2 | Bio- diesel as an alternative fuel for diesel engines--a review 显示文摘 | Murugesan A Umarani C Subramanian R | 2009 | Renewable and Sustainable Energy Reviews2009，13，3： | 1 |
| 3 | Bio--diesel as an alternative fuel for diesel engines : A review 显示文摘 | Murugesan A Umarani C Subramanian R | 2009 | Renewable and Sustainable Energy Reviews2009，13，3： | 1 |
| 4 | Bio-diesel as an alternative fuel for diesel engines-a review显示文摘 | Murugesan A Umarani C Subramanian R | 2009 | Renewable and Sustainable Energy Reviews2009，13，2： | 1 |
| 5 | 1,3-Bis(salicylidineamino)thiourea dihydrate as an analytical reagent for the direct spectrophotometric determination of cobalt(Ⅱ) in natural samples显示文摘 | PRABHAKAR L D UMARANI C THANIKACHALAM V | 1992 | Indian Journal of Chemistry1992，31，9： | 1 |
| 6 | Evaluation of ultrasonography as a diagnostic tool in maxillofacial space infections显示文摘 | Pandey PK Umarani M Kotrashetti S | 2012 | J Oral Maxillofac Res2012，2，4： | 1 |
| 7 | Bio-diesel as an alternative fuel for diesel engines--a review显示文摘 | Murugesan A Umarani C Subramanian R | 2009 | Renewable and Sustainable Energy Reviews2009，13，3： | 1 |
| 8 | A Combined Statistical and St- ructural based Representation for Texture Edge Detection 显示文摘 | Umarani C Radhakrishnan S | 2007 | International Journal of Soft Computer2007，2，3： | 1 |
| 9 | Bio-diesel as an alternative fuel for diesel engines A review 显示文摘 | Murugesan A Umarani C Subramanian R | 2009 | Ren and Sus En Rev2009，，： | 1 |
| 10 | NDC-IVM:An automatic segmentation of optic disc and cup region from medical images for glaucoma detection显示文摘Glaucoma is an eye disease that usually occurs with the increased Intra-Ocular Pressure(IOP),which damages the vision of eyes.So,detecting and classifying Glaucoma is an important and demanding task in recent days.For this purpose,some of the clustering and segmentation techniques are proposed in the existing works.But,it has some drawbacks that include ineficient,inaccurate and estimates only the affected area.In order to solve these issues,a Neighboring Differential Clustering(NDC)-Intensity V ariation Making(IVM)are proposed in this paper.The main intention of this work is to extract and diagnose the abnormal retinal image by identifying the optic disc.This work includes three stages such as,preprocessing,clustering and segmentation.At first,the given retinal image is preprocessed by using the Gaussian Mask Updated(GMU)model for eliminating the noise and improving the quality of the image.Then,the cluster is formed by extracting the threshold and patterns with the help of NDC technique.In the segmentation stage,the weight is calculated for pixel matching and ROI extraction by using the proposed IVM method.Here,the novelty is presented in the clustering and segmentation processes by developing NDC and IVM algorithms for accurate Glaucoma identification.In experiments,the results of both existing and proposed techniques are evaluated in terms of sensitivity,specificity,accuracy,Hausdorff distance,Jaccard and dice metrics. | Umarani Balakrishnan | 2017 | Journal of Innovative Optical Health Sciences2017，，3： | 1 |
| 11 | Rutin potentially attenuates fluoride induced oxidative stress mediated cardiotoxicity, blood toxicity and dyslipidemia in rats显示文摘 | UMARANI V MUVVALA S RAMESH A | 2015 | Toxieol Mech Methods2015，25，2： | 1 |
| 12 | Production and analysis of bio - diesel from non - edible oils: a review 显示文摘 | MURUGESAN A UMARANI C CHINNUSAMY T R | 2009 | Renewable and Sustainable Energy Reviews2009，13，4： | 1 |
| 13 | Evaluation of ultrasonography as a diagnostic tool in maxillofacial space infections显示文摘 | Pandey PK Umarani M Kotrashetti S | 2012 | J Oral Maxillofac Res2012，2，4： | 1 |
| 14 | An enhanced PSO-DEFS based feature selection with biometric authentication for identi¯cation of diabetic retinopathy显示文摘Recently,automatic diagnosis of diabetic retinopathy(DR)from the retinal image is the most significant ressearch topic in the medical applications.Diabetic macular edema(DME)is the.major reason for the loss of vision in patients suffering fom DR.Early identification of the DR enables to prevent the vision loss and encourage diabetic control activities.Many techniques are.developed to diagnose the DR.The major drawbacks of the existing techniques are low accuracy and high time complexity.To owercome these issues,this paper propases an enhanced particle swarm optimization differential evolution feature selection(PSO DEFS)based feature selection approach with biometric aut hentication for the identification of DR.Initially,a hybrid median filter(HMF)is used for pre processing the input images.Then,the pre-processed images are embedded with each other by using least significant bit(LSB)for authentication purpose.Si-multaneously,the image features are extracted using convoluted local tetra pattern(CLTrP)and Tamura features.Feature selection is performed using PSO DEFS and PSO-gravitational search algorithm(PSO GSA)to reduce time complexity.Based on some performance metrics,the PSO-DEFS is chosen as a better choice for feature selection.The feature selection is performed based on the fitness value.A multi-relevance vector machine(M-RVM)is introduced to dlassify the 13 normal and 62 abnormal images among 75 images from 60 patients.Finally,the DR patients are further dassified by M-RVM.The experimental results exhibit that the proposed approach achieves better accuracy,sensitivity,and specificity than the exist ing techniques. | Umarani Balakrishnan Krishnamurthi Venkatachalapathy Girirajkumar S.Marimuthu | 2016 | Journal of Innovative Optical Health Sciences2016，9，6： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员