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17篇 您的检索式:作者名="TOMIO O"
    题名 作者 年代 出处 被引量
1An Experimental Study on Bubble Rise Path after the Departure from a Nucleation Site in Vertical Upflow Boiling 显示文摘Tomio O Tatsuhiro I Isao K 2005Exp Therm and Fluid Sci2005,29,:1
2Solid Electrolytic Capacitors Using an Aluminum Alloy Electrode and Conducting Polymers显示文摘HIDEO Y MASASHI O TOMIO H 1999Synthetic Metals1999,104,:1
3Comparison of intrathecally administered urokinase, tissue-type plasminogen activator and combination ofurokinase and lysine -plasminogen for clot lysis after experimental subarachnoid hemorrhage in dogs显示文摘Yoshinaga K Tomio O Toshihiko K 1997Neurosurgery1997,40,:1
4Intrarterial injection of arminone for vasospasm induced dy subarachnoid hemorrhage显示文摘 Tomio O Toshihiko K 1997J Neurosurg1997,40,3:1
5Human thyroid peroxidace:complete cDNA and protein sequende,chromosome mapping,and identification of two alternately spliced mRNAs显示文摘SHIOKO K TOMIO K MCBRIDE O W 1987Proc Natl Acad Sci1987,84,16:1
6Cyclic stress-strain history and shear characteristics of Clay 显示文摘Tamotsu M Tomio I Hideo O 1980Journal of the Geotechnical Engineering Division ASCE1980,106,10:1
7A new technique for cranioplasty with L- shaped titanium plates and combination ceramic implants composed of hydroxyapatite and tricalcium phosphate (Ceratite) 显示文摘Hiroji M Tomio O Hideo T 2000Neurosurgery2000,46,2:1
8Intrarterial injection of arminone for vasospasm inbuced by suba-Rachnoid hemorrhage显示文摘 Tomio O Toshihiko K 1997J Neurosurg1997,40,3:1
9Nu- merical simulation of lateral distribution in turbu- lent upward bubbly two-phase flows显示文摘TOMIO O ISAO K M!CHITSUGU M 2002Nuclear Engineering and Design2002,213,23:1
10Intrarterial injection of arminone for vasospasm induced by subarachnoid hemorrhage显示文摘Yosida K Tomio O Toshihiko K 1997J Neurosurg1997,40,3:1
11Solid electrolytic capacitors using an aluminum alloy electrode and conducting polymers显示文摘Hideo Y Masashi O Tomio H 1999Synthetic Metals1999,104,1:1
12Deep-inspiration breath-hold PET/CT of lung cancer: maximum standardized uptake value analysis of 108 patients 显示文摘Tsuyoshi K Eiji O Tomio I 2008J Nuel Med2008,49,8:1
13A new technique for cranioplasty with L- shaped titanium plates and combination ceramic implants composed of hydroxyapatite and tricalcium phosphate (Ceratite) 显示文摘Hiroji M Tomio O Hideo T 2000Neurosurgery2000,46,2:1
14Comparison of intrathe cally administered urokinase, tissue-type plasminogen activator and combination ofurokinase and lysine-plasminogen for clot lysis after experimental subarachnoid hemorrhage in dogs显示文摘Yoshinaga K Tomio O Toshihiko K 1997Neurosurgery1997,40,:1
15A new technique for cranioplasty with L-shaped titanium plates and combination ceramic implants composed of hydroxyapatite and tricalcium phosphate (Ceratite) 显示文摘Hiroji M Tomio O Hideo T 2000Neurosurgery2000,46,2:1
16Oral administration of tetrahydrobiopterin prevents endothelial dysfunction and vascular oxidative stress in the aortas of insulin-resistant rats显示文摘Kazuya S Yoshihiko N Tomio O 2000Circ Res2000,87,7:1
17Resampling in neural networks with application to spatial analysis显示文摘In developing Artificial Neural Networks(ANNs),the available dataset is split into three categories:training,validation and testing.However,an important problem arises:How to trust the predic-tion provided by a particular ANN?Due to the randomness related to the network itself(architecture,initialization and learning procedure),there is usually no best choice.Considering this issue,we provide a framework,which captures the randomness related to the network itself.The idea is to perform several training and test trials based on the Jackknife resampling method.Jackknife consists of iteratively deleting a single observation each time from the sample and recomputing the ANN on the rest of the sample data.Consequently,interval prediction is available instead of point prediction.The proposed method was applied and tested using pH,Ca and P data obtained by analyzing 118 georeferenced soil points.The results,based on the dataset size simulation,showed that 60%reduction in available dataset offers compatible accuracy in relation to full dataset,and therefore a higher cost of sampling in the field would not be necessary.The re-sampling method spatially characterizes the points of greater or lesser accuracy and uncertainty.The re-sampling method increased the success rate by using interval prediction instead of using the mean as the most probable value.Although we restrict it to the regression neural network model,the resampling method proposed can also be extended to other modern statistical tools,such as Kriging,Least Squares Collocation(LSC),Convolutional Neural Network(CNN),and so on.Bruno Póvoa Rodrigues Vinicius Francisco Rofatto Marcelo Tomio Matsuoka Talita Teles Assunção 2022Geo-Spatial Information Science2022,25,3:0
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