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| 1 | A Multi-Threaded Semantic Focused Crawler显示文摘The Web comprises of voluminous rich learning content.The volume of ever growing learning resources however leads to the problem of information overload.A large number of irrelevant search results generated from search engines based on keyword matching techniques further augment the problem.A learner in such a scenario needs semantically matched learning resources as the search results.Keeping in view the volume of content and significance of semantic knowledge,our paper proposes a multi-threaded semantic focused crawler(SFC) specially designed and implemented to crawl on the WWW for educational learning content.The proposed SFC utilizes domain ontology to expand a topic term and a set of seed URLs to initiate the crawl.The results obtained by multiple iterations of the crawl on various topics are shown and compared with the results obtained by executing an open source crawler on the similar dataset.The results are evaluated using Semantic Similarity,a vector space model based metric,and the harvest ratio. | Punam Bedi Anjali Thukral Hema Banati Abhishek Behl Varun Mendiratta | 2012 | Journal of Computer Science & Technology2012，27，6： | 4 |
| 2 | 基于模糊距离变换的三维血管造影冠状动脉形状分析显示文摘对血管造影(CTA)数据进行了冠状动脉的形状分析,以辅助临床诊断冠心病。提出了模糊距离变换的三维CTA的冠状动脉的形状分析的方法。利用几何拓扑性获取表面骨架和曲线骨架,计算模糊距离变换函数值,利用此函数值检测冠状动脉的直径、冠状动脉狭窄的位置、长度、狭窄的百分比和冠状动脉的分叉点位置。用仿真数据模型和真实临床数据进行了实验分析和检验。结果表明:此方法准确、省时,能作为临床诊断的有效辅助工具。 | 许燕 Punam K. Saha 胡广书 耿进朝 | 2010 | 清华大学学报(自然科学版)2010，50，3： | 4 |
| 3 | Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network显示文摘Plants are susceptive to various diseases in their growing phases.Early detection of diseases in plants is one of the most challenging problems in agriculture.If the diseases are not identified in the early stages,then theymay adversely affect the total yield,resulting in a decrease in the farmers'profits.To overcome this problem,many researchers have presented different state-of-the-art systems based on Deep Learning and Machine Learning approaches.However,most of these systems either use millions of training parameters or have lowclassification accuracies.This paper proposes a novel hybrid model based on Convolutional Autoencoder(CAE)network and Convolutional Neural Network(CNN)for automatic plant disease detection.To the best of our knowledge,a hybrid system based on CAE and CNN to detect plant diseases automatically has not been proposed in any state-ofthe-art systems present in the literature.In this work,the proposed hybrid model is applied to detect Bacterial Spot disease present in peach plants using their leaf images,however,it can be used for any plant disease detection.The experiments performed in this paper use a publicly available dataset named PlantVillage to get the leaf images of peach plants.The proposed system achieves 99.35%training accuracy and 98.38%testing accuracy using only 9,914 training parameters.The proposed hybrid model requires lesser number of training parameters as compared to other approaches existing in the literature.This,in turn,significantly decreases the time required to train the model for automatic plant disease detection and the time required to identify the disease in plants using the trained model. | Punam Bedi Pushkar Gole | 2021 | Artificial Intelligence in Agriculture2021，，1： | 2 |
| 4 | Increasing the Persuasive- ness of Fear Appeals : The Effect of Arousal and Elaboration 显示文摘 | Anand Keller Punam Block | 1996 | Journal of Consumer Research1996，22，3： | 1 |
| 5 | Hospitalized children drawing their pain:The contents and cognitive and emotional characteristics of pain drawings显示文摘 | Kortesluoma RL Punamki RL Nikkonen M | 2008 | Journal of Child Heal Care2008，12，4： | 1 |
| 6 | Galactomannan gum coated mucoadhesive microspheres of glipizide for treatment of type 2 diabetes mellitus: In vitro and in vivo evaluation 显示文摘 | Punam G Sarbjot S Monika G | 2011 | Saudi Pharmaceutical Journal2011，19，3： | 1 |
| 7 | Fecal Sterol and Bile Acid Biomarkers: Runoff Concentrations in Animal Waste-Amended Pastures显示文摘 | Punam Tyagi Dwayne R. Edwards Mark S. Coyne | 2008 | Water, Air, and Soil Pollution2008，，1： | 1 |
| 8 | Parental perception of the nutritional quality of school meals and its association with students’ school lunch participation显示文摘 | Punam Ohri-Vachaspati | 2014 | Appetite2014，，： | 1 |
| 9 | An in vitro model of human red blood cell production from hematopoitic progenitor cells显示文摘 | Punam Malik Timothy C Fisher lora L | 1998 | Blood1998，91，8： | 1 |
| 10 | Prevalence and Determinants of PTSD among Plaesrinian Children Exposed to Military Violence显示文摘 | Qouta S Punamki RL El Sarraj E | 2003 | Eur Child Adolesc Psychiatry(S1018-8827)2003，12，6： | 1 |
| 11 | Evidence-based recommendations for PISA measurements in mitral regurgitation: systematic review, clinical and in-vitro study显示文摘 | Michela Moraldo Fabrizio Cecaro Matthew Shun-Shin Punam A. Pabari Justin E. Davies Xiao Y. Xu Alun D. Hughes Charlotte Manisty Darrel P. Francis | 2012 | International Journal of Cardiology2012，，： | 1 |
| 12 | Digital game playing and direct and indirect aggression in early adolescence:The roles of age,social intelligence,and parent-child communication显示文摘 | WALLENIUS M PUNAM KI RL RIMPEL A | 2007 | J Youth Adolesc2007，36，3： | 1 |
| 13 | Patterns of prescription anddrug dispensing显示文摘 | Sunil K Punam S Madhuri K | 2005 | J Am Med2005，72，2： | 1 |
| 14 | Char- acteristics of nucleation layer and epitaxy in GaN/sapphire hetero- structures 显示文摘 | Narayan J Pant Punam Chugh A Choi H Fan J C C | 2006 | Journal of Applied Physics2006，99，05： | 1 |
| 15 | Application of market mechanisms and incentives to reduce stormwater runoff 显示文摘 | Punam Parikh Michael A Taylor | 2005 | Environmental Science & Policy2005，，8： | 1 |
| 16 | Equity and bond flows to Latin America and Asia: the role of global and country factors 显示文摘 | Punam Chuhan Stijn Claessens Nlandu Mamingi | 1998 | Journal of Development Economics1998，，55： | 1 |
| 17 | Use of selected chemical markers in combination with a multiple regression model to assess the contribution of domesticated animal sources of fecal pollution in the environment显示文摘 | Punam Tyagi Dwayne R Edwards Mark S Coyne | | 0，，： | 1 |
| 18 | Optimum image threshyolding via class uncertainty and region homogeneity显示文摘 | Punam K S Jayaram K U | 2001 | IEEE Transactions on Pattern Analysis and Machine Intelligence2001，23，7： | 1 |
| 19 | Optimum image thresholding via class uncertainty and region homogeneity显示文摘 | Punam K S Jayaram K U | 2001 | IEEE Transactions on Pattern Analysis and Machine Intelligence2001，23，7： | 1 |
| 20 | Multimodal Biometric Authentication Using PSO Based on Watermarking显示文摘 | PUNAM B ROLI B PRITI S | 2012 | Procedia Technology2012，4，： | 1 |
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