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36篇 您的检索式:作者名="Taimur"
    题名 作者 年代 出处 被引量
1Management of Newly Diagnosed Symptomatic Multiple Myeloma: Updated Mayo Stratification of Myeloma and Risk-Adapted Therapy (mSMART) Consensus Guidelines 2013显示文摘Joseph R. Mikhael David Dingli Vivek Roy Craig B. Reeder Francis K. Buadi Suzanne R. Hayman Angela Dispenzieri Rafael Fonseca Taimur Sher Robert A. Kyle Yi Lin Stephen J. Russell Shaji Kumar P. Leif Bergsagel Steven R. Zeldenrust Nelson Leung Matthew T. D 2013Mayo Clinic Proceedings2013,,4:2
2Treatment options for brain metastases in pati- ents with non-small cell lung cancer显示文摘Taimur S Edelman MJ 2003Curr Treat Options Oncol2003,4,1:1
3Protocols for E-Commerce显示文摘Aslam Taimur Dr Dobb 1998Software Tools for the Professional Programmer1998,23,12:1
4Treatment options for brain metastases in patients with non-small cell lung cancer显示文摘Taimur S Edelman MJ 2003Current Treatment Options in Oncology2003,4,1:1
5The accuracy of head and neck carcinoma sentinel lymph node biopsy in the clinically N0 neck显示文摘David S Soutar Taimur Shoaib 2001Cancer2001,91,11:1
6IL‐17 mediates estrogen‐deficient osteoporosis in an Act1‐dependent manner显示文摘Carl J. DeSelm Yoshifumi Takahata Julia Warren Jean C. Chappel Taimur Khan Xiaoxia Li Caini Liu Yongwon Choi Youngmi Faith Kim Wei Zou Steven L. Teitelbaum 2012J. Cell. Biochem2012,,:1
7Mem-brane fouling due to dynamic particle size changes in the aeratedhybrid PAC-MF system显示文摘Mohiuddin Md Taimur khan Satoshi Takizawa 2011Journal of Membrane Science2011,371,12:1
8Iliac vein compression syndrome:an underdiagnosed cause of lower extremity deep venous thrombosis显示文摘Naik Ami Mian Taimur Abraham Aney 2010Journal of Hospital Medicine2010,5,7:1
9Some new prospects in the understanding of the molecular basis of the pathogenesis of stroke 显示文摘Sheikh AS Kaneez FS Taimur S 2007Exp Brain Res2007,182,7:1
10Assessing biofouling on polyamide reverse osmosis (RO) membrane surfaces in a laboratory system 显示文摘TAIMUR KHANA M M STEWARTB P H MOLL D J et aI 2010Journal of Membrane Science2010,349,12:1
11Application of collision prediction models for quantifying the safety benefit of winter road maintenance显示文摘Taimur U Fu Liping Miranda-Moreno L F 0,,:1
12Small Cell Lung Cancer显示文摘Taimur Sher Grace K. Dy Alex A. Adjei 2008Mayo Clinic Proceedings2008,,3:1
13Treatment options for brain metastases in patients with non-small-cell lung cancer 显示文摘Taimur S Edelman MJ 2003Curr Oncol Rep2003,5,4:1
14Financial Market Contagion in the Asian Crisis显示文摘Taimur Baig lian Goldfajn IMF working0,,98:1
15Some new prospects in theunderstanding of the molecular basis of the pathogenesis of stroke显示文摘Sheikh Arshad Saeed Kaneez Fatima Shad Taimur Saleem 2007Exp Brain Res2007,182,1:1
16Growth temperature dependent dielectric properties of BiFeO 3 thin films deposited on silica glass substrates显示文摘Taimur Ahmed Andrei Vorobiev Spartak Gevorgian 2012Thin Solid Films2012,,13:1
17Treatment options for brain metastases in patients with non-small cell lung cancer显示文摘Taimur S Edelman MJ 2003Curr Treat Options Oncol2003,4,1:1
18Comparison of CNN-based deep learning architectures for rice diseases classification显示文摘Although convolutional neural network(CNN)paradigms have expanded to transfer learning and ensemble models from original individual CNN architectures,few studies have focused on the performance comparison of the applicability of these techniques in detecting and localizing rice diseases.Moreover,most CNN-based rice disease detection studies only considered a small number of diseases in their experiments.Both these shortcomings were addressed in this study.In this study,a rice disease classification comparison of six CNN-based deep-learning architectures(DenseNet121,Inceptionv3,MobileNetV2,resNext101,Resnet152V,and Seresnext101)was conducted using a database of nine of the most epidemic rice diseases in Bangladesh.In addition,we applied a transfer learning approach to DenseNet121,MobileNetV2,Resnet152V,Seresnext101,and an ensemble model called DEX(Densenet121,EfficientNetB7,and Xception)to compare the six individual CNN networks,transfer learning,and ensemble techniques.The results suggest that the ensemble framework provides the best accuracy of 98%,and transfer learning can increase the accuracy by 17%from the results obtained by Seresnext101 in detecting and localizing rice leaf diseases.The high accuracy in detecting and categorisation rice leaf diseases using CNN suggests that the deep CNN model is promising in the plant disease detection domain and can significantly impact the detection of diseases in real-time agricultural systems.This research is significant for farmers in rice-growing countries,as like many other plant diseases,rice diseases require timely and early identification of infected diseases and this research develops a rice leaf detection system based on CNN that is expected to help farmers to make fast decisions to protect their agricultural yields and quality.Md Taimur Ahad Yan Li Bo Song Touhid Bhuiyan 2023Artificial Intelligence in Agriculture2023,,3:1
19Preparation of 4,4-dimethoxybutyl chloride fromγ-butyrolactone显示文摘Taimur Athar 1998Indian of Chem1998,37,10:1
20Guideline for prophylactic feeding tube insertion in patients undergoing resection of head and neck cancers显示文摘David R. Jack Fiona R. Dawson Justice E. Reilly Taimur Shoaib 2011Journal of Plastic Reconstructive & Aesthetic Surgery2011,,5:1
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