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80篇 您的检索式:作者名="Krishnaraj"
    题名 作者 年代 出处 被引量
1Groundwater Potential Zoning in Thirumanimuttar Sub-Basin Tamilnadu, India—A GIS and Remote Sensing Approach显示文摘The main objective of the study is to identify groundwater potential zones in Thirumanimuttar basin with an integrated approach using Remote Sensing and geographical information system(GIS).FCC Image of Landsat TM 30 m resolution data and topographic maps has been used to generate thematic maps like geology,geomorphology,lineament and lineament density,drain-age,drainage density,and slope map of the study area.A number of geomorphic units such as Denudational hills,structural hills,Bajadas,Colluvial plain,Pediplain,Deep Pediment and Alluvial plains have been observed.A composite groundwater potential map has been generated as very high,high,medium,low and very low based on the groundwater availability area.The upper,mid-dle and downstream of the basins have been identified as potential zones for groundwater exploration.The regions of lineaments and intersecting lineaments proved for groundwater potential zones.The data generated was validated with field checks and ob-served to be in conformity with the same.MURUGESAN Vasanthavigar KRISHNARAJ Srinivasamoorthy KANNUSAMY Vijayaragavan SELVARAJ Gopinath SUBRAMANYA Sarma 2011Geo-Spatial Information Science2011,14,1:10
2miRNA-24 and miRNA-466i-5p controls inflammation in rat hepatocytes显示文摘Subramanian Saravanan Krishnaraj Thirugnanasambantham Hamza Hanieh Kulandaivelu Karikalan Durairaj Sekar Rukkumani Rajagopalan Villianur Ibrahim Hairul Islam 2015Cellular & Molecular Immunology2015,12,1:7
3Synthesis of silver nanoparticles using Acalypha indica leaf extracts and its antibacterial activity against water borne pathogens显示文摘C. Krishnaraj E.G. Jagan S. Rajasekar P. Selvakumar P.T. Kalaichelvan N. Mohan 2009Colloids and Surfaces B: Biointerfaces2009,,1:4
4Paddy Leaf Disease Detection Using an Optimized Deep Neural Network显示文摘Precision Agriculture is a concept of farm management which makes use of IoT and networking concepts to improve the crop.Plant diseases are one of the underlying causes in the decrease in the number of quantity and quality of the farming crops.Recognition of diseases from the plant images is an active research topic which makes use of machine learning(ML)approaches.A novel deep neural network(DNN)classification model is proposed for the identification of paddy leaf disease using plant image data.Classification errors were minimized by optimizing weights and biases in the DNN model using a crow search algorithm(CSA)during both the standard pre-training and fine-tuning processes.This DNN-CSA architecture enables the use of simplistic statistical learning techniques with a decreased computational workload,ensuring high classification accuracy.Paddy leaf images were first preprocessed,and the areas indicative of disease were initially extracted using a k-means clustering method.Thresholding was then applied to eliminate regions not indicative of disease.Next,a set of features were extracted from the previously isolated diseased regions.Finally,the classification accuracy and efficiency of the proposed DNN-CSA model were verified experimentally and shown to be superior to a support vector machine with multiple cross-fold validations.Shankaranarayanan Nalini Nagappan Krishnaraj Thangaiyan Jayasankar Kalimuthu Vinothkumar Antony Sagai Francis Britto Kamalraj Subramaniam Chokkaligam Bharatiraja 2021Computers, Materials & Continua2021,,7:2
5Initial experience with single-source dual-energy CT abdominal angiography and comparison with single-energy CT angiography: image quality, enhancement, diagnosis and radiation dose 显示文摘Pinho DF Kulkarni NM Krishnaraj A 2013Eur Radiol2013,23,:1
6Morphological and physiological changes during thidiazuron-induced somatic embryogenesis in geranium (Pelargonium × Horttorum Bailey) hypoeotyls cultures显示文摘HUTCHINSON M J KRISHNARAJ S SAXENA P K 1996Chicago: International Journal of Plant Sciences1996,157,4:1
7Functionalization of electrochemically deposited chitosan films with alginate and prussian blue for enhanced performance of microbial fuel cells显示文摘Navanietha Krishnaraj R Karthikeyan R Sheela Berchmans 2013Eleetrochimiea Acta2013,112,:1
8Influence of machining parameters and new nano-coated tool on drilling performance of CFRP/aluminium sandwich显示文摘Zitoune R Krishnaraj V Almabouacif B S 2012Composites Part B:Engineering2012,43,3:1
9Study of drilling of composite material and aluminium stack显示文摘Zitoune R Krishnaraj V Collombet F 2010Composite Structures2010,92,5:1
10Plant extract synthesized silver nanoparticles: An ongoing source of novel biocompatible materials显示文摘Ramachandran Rajan Krishnaraj Chandran Stacey L. Harper Soon-Il Yun P. Thangavel Kalaichelvan 2015Industrial Crops & Products2015,,:1
11Optimization of machining parameters at high speed drilling of carbon fiber reinforced plastic (CFRP) laminates显示文摘Krishnaraj V Prabukarthi A Ramanathan A 2012Composites Part B : Engineering2012,43,4:1
12Study on tool wear and chip formation during drilling carbon fiber reinforced polymer(CFRP)/titanium alloy(Ti6Al4V)stacks显示文摘Senthilkumar M Prabukarthi A Krishnaraj V 2013Procedia Engineering2013,64,:1
13Thidiazuron-indueed morphogenesis of Regal geranium (Pelargonium domesticum):a potential stress response显示文摘Mureh S J KrishnaRaj S Saxena P 1997Physlol Plant1997,101,:1
14Initial experience with single-source dual energy CT abdominal angiography and comparison with single energy CT angiographyimage quality, en hancement,diagnosis and radiation dose显示文摘Pinho DF Kulkarni NM Krishnaraj A 2013Eur Radiol2013,23,2:1
15Evaluation of nanostructured composite collagen-chitosan matrices for tissue engineering 显示文摘Tan W Krishnaraj R Desai T A 2001Tissue Eng2001,7,2:1
16Occupant knee impact simulations:A parametric study显示文摘Krishnaraj S Kulkami K B Narayanasamy V 0,,05:1
17Effects of oral dosing paradigms (garage versus diet) on pharmacokinetics and pharmacodynamics显示文摘Kapetanovic I M Krishnaraj R Martin-Jimenez T 0,,:1
18Study of drilling of composite material and aluminium stack显示文摘ZITOUNE R KRISHNARAJ V COLLOMBET F 2010Composite Structures2010,92,5:1
19Influence of machining parameters and new nano-coated tool on drilling performance of CFRP/aluminium sandwich显示文摘ZITOUNE R KRISHNARAJ V ALMABOUACIF B S 2012Composites Part B-Engineering2012,43,3:1
20Evaluation of nanostructured composite collagen-chitosan matrices for tissue engineering显示文摘 Krishnaraj R Desai TA 2001Tissue Eng2001,7,2:1
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