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| 1 | The nicotine dependence phenotype, time to first cigarette, and larynx cancer risk 显示文摘 | Muscat JE Liu liP Livelsberger C | 2012 | Cancer Causes Control2012，23，3： | 1 |
| 2 | Microbial diversity of mesophilic hydro- gen producing sludge显示文摘 | FANG liP ZHANG T LIU H | 2002 | Appl Microbiol Blot2002，58，： | 1 |
| 3 | Significant enhancement of UV emission in ZnO nanorods subject to Ga+ ion beam irradiation显示文摘在光电子的 ZnO nanomaterials 的应用仍然由于他们的不够的光致发光效率被限制。以便优化 ZnO nanorods 的光致发光性质,在与在不同离子精力(0.5 keV16 keV ) 的 Ga + 离子照耀的关联,在 Si 底层上种的垂直地排列的 ZnO nanorods 的紫外排放在现在的学习被调查。我们发现紫外紧张与增加 Ga + 离子精力很快增加了,直到它在 2 keV,在点,紧张比由成长得当的 ZnO nanorods 生产了那高约 50 倍附近的最大值。低精力的 Ga + 离子的轻轻的轰炸把缺点从 ZnO nanorod 表面移开。在另一方面, Ga + 离子植入进 nanorods,导致压缩紧张。在表面缺点和压缩紧张的介绍的移动之上的水晶格子的完美的安排是贡献紫外轻产生的重要改进的二个因素,这被相信。 | Boluo Yadian Rui Chen Hai Liu Handong Sun Qing Liu Chee Lip Gan Zhou Kun Chunwang Zhao Bin Zhu Yizhong Huang | 2015 | Nano Research2015，8，6： | 1 |
| 4 | Evaluation of focal fatty infiltration of the liver using color Doppler and contrast-enhanced sonography 显示文摘 | Liu LIP Dong BW Yu X | 2008 | J Clin Ultrasound2008，36，9： | 1 |
| 5 | A comparative analysis of support vector machines and extreme learning machines 显示文摘 | LIU X Y GAO C H LIP | 2012 | Neural net- works2012，33，9： | 1 |
| 6 | Preparation of chito san-gelatin hybrid scaffolds with well organized micro- structures for hepatic tissue engineering 显示文摘 | HE J K LIP C LIU Y X | 2009 | Acta Bio- materialia2009，5，1： | 1 |
| 7 | EHects of aspect ratio and particlc sizc on the microwave properties of Fe-Cr-Si-Al alloy flakes显示文摘 | WANG X GONG R Z LIP G LIU L Y | 2007 | Materials Science and Engineering A2007，466，12： | 1 |
| 8 | Fuzzy lattice classifier and its application to bearing fault diagnosis显示文摘 | LIP Y LIU R X HU S S | 2012 | Applied Soft Computing2012，12，： | 1 |
| 9 | Multifrequency invisibility cloaking with a single shell of negative - index metamtar- ials 显示文摘 | LIP N LIU Y W MENG Y J | 2011 | Chinese Physics Letters2011，28，6： | 1 |
| 10 | Electrically controlled muhifrequency ferroelectric cloak 显示文摘 | LIP N LIU Y W MENG Y J | 2010 | Optics Express2010，18，12： | 1 |
| 11 | Grafting ofmethyl methylacrylate onto isotactic polyp ropylene film using supercritical CO2 a swelling agent显示文摘 | Liu Zhimin Song Lip ing Dai Xinhua | 2002 | Polymer2002，43，4： | 1 |
| 12 | Self-driven electronic cooling based on ther- mosyphon effect of room temperature liquid metal 显示文摘 | LIP P LIU J | 2011 | ASME Journal of Electronic Package2011，133，04： | 1 |
| 13 | Self-Driven Electronic Cooling Based on Thermosyphon Effect of Room Temperature Liquid Metal 显示文摘 | LIP P LIU J | 2011 | ASME Journal of Electronic Packaging2011，133，04： | 1 |
| 14 | Harvesting low grade heat to generate elec- tricity with thermosyphon effect of room temperature liquid metal显示文摘 | LIP P LIU J | 2011 | Applied Physics Letters2011，99，09： | 1 |
| 15 | Does low bone mineral density start in postteenage years in women with type 1 diabetes 显示文摘 | Liu EY Wactawski WJ Donahue liP | 2003 | Diabetes Care2003，26，8： | 1 |
| 16 | Learning trajectory in offshore OEM cooperation: transaction value for local suppliers in the emerging economies显示文摘 | LI Y LIP P LIU Y YANG D | 2010 | Journal of ()per ations Management2010，28，3： | 1 |
| 17 | Preparation of PET threads reinforced PVDF hollow fiber membrane 显示文摘 | LIU J LIP L XIE L X | 2009 | Desalination2009，249，2： | 1 |
| 18 | Adsorption of the anionic dye Congo red from aqueous solution onto natural zeolites modified with N, N- dimethyl dehydroabietylamine oxide 显示文摘 | LIU S G DING Y Q LIP F | 2014 | Chemical Engineering Journal2014，248，： | 1 |
| 19 | Ablation of gp78 in liver im- proves hyperlipidemia and insulin resistance by inhibiting SREBP to decrease lipid biosynthesis显示文摘 | LIU T F TANG J J LIP S | 2012 | Cell Metab2012，16，2： | 1 |
| 20 | Deep Learning-Based Trees Disease Recognition and Classification Using Hyperspectral Data显示文摘Crop diseases have a significant impact on plant growth and can lead to reduced yields.Traditional methods of disease detection rely on the expertise of plant protection experts,which can be subjective and dependent on individual experience and knowledge.To address this,the use of digital image recognition technology and deep learning algorithms has emerged as a promising approach for automating plant disease identification.In this paper,we propose a novel approach that utilizes a convolutional neural network(CNN)model in conjunction with Inception v3 to identify plant leaf diseases.The research focuses on developing a mobile application that leverages this mechanism to identify diseases in plants and provide recommendations for overcoming specific diseases.The models were trained using a dataset consisting of 80,848 images representing 21 different plant leaves categorized into 60 distinct classes.Through rigorous training and evaluation,the proposed system achieved an impressive accuracy rate of 99%.This mobile application serves as a convenient and valuable advisory tool,providing early detection and guidance in real agricultural environments.The significance of this research lies in its potential to revolutionize plant disease detection and management practices.By automating the identification process through deep learning algorithms,the proposed system eliminates the subjective nature of expert-based diagnosis and reduces dependence on individual expertise.The integration of mobile technology further enhances accessibility and enables farmers and agricultural practitioners to swiftly and accurately identify diseases in their crops. | Uzair Aslam Bhatti Sibghat Ullah Bazai Shumaila Hussain Shariqa Fakhar Chin Soon Ku Shah Marjan Por Lip Yee Liu Jing | 2023 | Computers, Materials & Continua2023，77，10： | 0 |
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