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| 1 | Pentalogy of cantrell with ectopia cordis: CT findings 显示文摘 | Pirasteh A Carcano C Kirsch J | 2014 | J Radiol Case Rep2014，8，12： | 1 |
| 2 | Genetic control of photoperiod response in wheat显示文摘 | Welsh J R Keim D L Pirasteh B | 1973 | Proceeding1973，4，： | 1 |
| 3 | Comparison between prediction capabilities of neural network and fuzzy logic techniques for landslide susceptibility mapping显示文摘 | Pradhan B Pirasteh S | 2010 | Disaster Advances2010，3，3： | 1 |
| 4 | A review on development of solar drying applications显示文摘 | G. Pirasteh R. Saidur S.M.A. Rahman N.A. Rahim | 2014 | Renewable and Sustainable Energy Reviews2014，，： | 1 |
| 5 | A Review on Development of Solar Drying Applications显示文摘 | PIRASTEH G SAIDUR R RAHMAN S A | 2014 | Renewable and Sustainable Energy Reviews2014，31，3： | 1 |
| 6 | Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran显示文摘 | Aminreza Neshat Biswajeet Pradhan Saied Pirasteh Helmi Zulhaidi Mohd Shafri | 2014 | Environmental Earth Sciences2014，，7： | 1 |
| 7 | Temporal assessment of splenic function in patients who have undergone percutaneous image-guided splenic artery embolization in the setting of trauma 显示文摘 | Pirasteh A Snyder LL Lin R | 2012 | J Vasc In- terv Radio12012，23，1： | 1 |
| 8 | An Artificial Neural Network Model for Flood Simulation Using GIS: Johor River Basin, Malaysia 显示文摘 | Kia M B Pirasteh S Pradhan B | 2012 | Environmental Earth Sciences2012，，1： | 1 |
| 9 | An artificial neural network model for flood simulation using GIS:Johor River Basin,Malaysia显示文摘 | Kia M B Pirasteh S Pradhan B | 2012 | Environment Earth Sciences2012，67，1： | 1 |
| 10 | Oxidised porous silicon impregnated with congo red for chemical sensoring applications 显示文摘 | Rivolo P Pirasteh P Chaillou A | 2004 | Sensors and Actuators B2004，100，12： | 1 |
| 11 | Acute renal failure in a pa-tient with Sheehan syndrome and rhabdomyolysis 显示文摘 | Sohani P Rezvanfar MR Pirasteh S | 2008 | Iran J Kidney Dis2008，2，1： | 1 |
| 12 | Monosomic analysis of photoperiod response in wheat显示文摘 | Pirasteh B Welsh J R | 1975 | Crop Science1975，15，： | 1 |
| 13 | GiT-based structural geologic feature analysis of the southern segment of Longmenshan fault zone for earthquake evidence显示文摘The Longmenshan fault is a thrust fault which runs along the base of the Longmen Mountains in Sichuan province,southwestern China.The southern segment of the fault had two distinct responses to the Ms 8 Wenchuan and Ms 7 Lushan earthquakes.This study determines characteristics of the structural geology of the Longmenshan fault to evaluate how it influenced the two aforementioned earthquakes.This research was done within a Geoinformation Technologies(Gi T) environment based on multi-source remote sensing and crustal movement data extracted from the Global Positioning System(GPS).The spatial distribution of the southern segment of the Longmenshan fault zone was comprehensively analyzed to study both earthquakes.The study revealed that the Wenchuanand Lushan earthquakes occurred on two relatively independent faults.In addition,there was a nearly constant-velocity crustal movement zone between the two epicenters that probably had a compressive stress with slow motion.Furthermore,the central fault and a mountain back fault gradually merged from north to south.The Lushan earthquake was not an aftershock of the Wenchuan earthquake.The research showed that fault zones within 30–50 km of State Highway 318 are intensive and complex.In addition,crustal movement velocity decreased rapidly,with a strong multi-directional shear zone.Thus,activity in that zone was likely stronger than in the northern part over the medium to long term. | YE Cheng-ming CUI Peng Saied PIRASTEH Jonathan LI MENG Qingkai BI Xiao-jia ZHANG Jian-qiang | 2016 | Journal of Mountain Science2016，13，5： | 1 |
| 14 | Skin protective behavior amongst girl students based on health belief model显示文摘 | Davati A Pirasteh A Yahyaei M | 2013 | Acta Med Iran2013，51，9： | 1 |
| 15 | Coupling of DEM and re- mote - sensing - based approaches for semi - automated detection of regional geostruetural features in Zagros mountain, Iran 显示文摘 | Pirasteh S Pradhan B Safari H O | 2013 | Ara- bian Journal of Ceosciences2013，6，1： | 1 |
| 16 | Monosomic analysis of photoperiod response in wheat显示文摘 | Pirasteh B Welsh J R | 1975 | Crop Science1975，15，： | 1 |
| 17 | Development and validation of psychosocial determinants measures of physical activity among Iranian adolescent girls显示文摘 | Pirasteh A Hidarnia A Asghari A | 2008 | BMC Public Health2008，8，： | 1 |
| 18 | Oxidised porous silicon im- pregnated with Congo Red for chemical sensoring application- s显示文摘 | Rivolo P Pirasteh P Chaillou A | 2004 | Sensors and Actuators B: Chemical2004，100，12： | 1 |
| 19 | 基于高光谱遥感影像的建筑物表面材质识别方法(英文)显示文摘目的:建筑物的材质信息是灾害评估和城市调查等领域的重要信息。本文旨在利用高光谱遥感影像提取地面建筑物的表面材质信息(包括材质类型和主要组成成份),并对提取方法进行对比,给出应用建议。创新点:对建筑物材料进行光谱测试,并对其高光谱响应规律进行分析,找出有诊断意义的光谱位置;基于实验和验证得出应用方法的适应性,以提高信息提取精度。方法:1.设计建筑物材质信息提取流程(图1),并对高光谱数据进行基础处理;2.对建筑物材料进行光谱测试(波长范围为350~2500 nm,图3),并完成各类建筑物的诊断性光谱分析;3.利用光谱角度法(公式(1))和光谱信息散度法(公式(2))进行材质信息提取(图5和6);4.综合分析两种方法的应用过程与控制参数和准确率的关系。结论:1.两种方法皆可提取建筑物材质信息,但在应用过程中需要进行参数的适应性调整,这是提高准确率的关键;2.在建筑物材质信息提取方面,光谱角度法的提取准确率略高于光谱散度法。 | Cheng-ming YE Peng CUI Saied PIRASTEH Jonathan LI Yao LI | 2017 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2017，18，12： | 1 |
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