|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 油藏模拟历史拟合中Levenberg-Marquardt算法的改进显示文摘为了更高效地利用历史拟合方法估算油藏参数,提出采用差分进化(DE)方法估算最佳阻尼因子,改进标准的Levenberg-Marquardt(LM)算法,并通过算例分析验证改进后的算法。标准的LM算法中采用试错法估算阻尼因子,对于大型反演问题可靠性较差,采用DE方法可以有效解决此问题,且不需要使用线搜索去寻找合理步长。将改进后的算法应用于两个不同大小油藏模型的历史拟合中,并与其他算法进行对比,结果表明:运用DE方法使LM算法的收敛速度加快、残差减小,不仅适用于小型、中型反演问题,更适用于大型反演问题;在预设LM算法迭代终止标准的情况下,使用改进后的算法可以减少迭代次数、大幅节省总计算时间,从而提高历史拟合效率。 | 张鲜 AWOTUNDE A A | 2016 | 石油勘探与开发2016，43，5： | 10 |
| 2 | Protein phosphatase 2A: variety of forms and diversity of functions 显示文摘 | Lechward K Awotunde OS Swiatek W | 2001 | Acta Biochimica Polonica ( English Edition )2001，48，4： | 1 |
| 3 | Osmotic stress induces rapid activation of a s~icylic acid induced protein kinase and a homolog of protein kinase ASK1 in tobacco cells显示文摘 | Mikolajczyk M Awotunde 0 S Muszyska G | 2000 | The Plant Cell2000，12，： | 1 |
| 4 | Osmotic Stress Induces Rapid Activation of a Salicylic Acid Induced Protein Kinase and a Homolog of Protein Kinase ASK1 in Tobacco Cells 显示文摘 | Mikolajczyk M Awotunde 0 S Muszyska G | 2000 | Plant Cell2000，12，： | 1 |
| 5 | Characterisation of two protein phosphatase 2A holoenzymes from maize seedlings显示文摘 | Awotunde O S Sugajska E Zolnierowicz S | 2000 | Biochim Biophys Acta2000，1480，： | 1 |
| 6 | Osmotic stress induces rapid activation of a sali- cylic acid-induced protein kinase and a homolog of protein kinase ASK1 in tobacco cells显示文摘 | Mikolajczyk M Awotunde O S Muszynska G | 2000 | Plant Cell2000，12，1： | 1 |
| 7 | Coworkers' and supervisor interactional justice:Correlates of extension personnel's job satisfaction,distress,and aggressive behavior显示文摘 | Ladebo O Awotunde J.M AbdulSalaam-Saghir P.A | | 0，，02： | 1 |
| 8 | Estimation of well test parameters using globaloptimization techniques显示文摘 | AWOTUNDE A A | 2015 | Journal of Petroleum Science &Engineering2015，125，： | 1 |
| 9 | An improved adjoint sensitivitycomputation for multiphase flow using wavelets显示文摘 | AWOTUNDE A A HORNE R | 2012 | SPE Journal2012，17，2： | 1 |
| 10 | A multi-resolution adjoint sensitivity analysis oftime-lapse saturation maps显示文摘 | AWOTUNDE A A | 2014 | Computational Geosciences2014，18，5： | 1 |
| 11 | Protein phosphatase 2A:variety of forms and diversity of functions显示文摘 | AWOTUNDE O S SWIATEKW | 2001 | Acta Biochim Pol2001，48，： | 1 |
| 12 | Mitochondrial DNA sequence analyses and phylogenetic relationships among two Nigerian Goat Breeds and the South African Kalahari Red 显示文摘 | AWOTUNDE EoO BEMJI M N OLOWOFESO O | 2015 | Animal Biotechnology2015，26，3： | 1 |
| 13 | Osmotic Stress Induces Rapid Activation of a Salicylic Acid-induced Protein Kinase and a Homolog of Protein Kinase ASK1 in Tobacco Cells显示文摘 | MIKOLAJCZYK M AWOTUNDE O S MUSZYNSKA G | 2000 | The Plant Cell2000，12，： | 1 |
| 14 | Determinants of Adoption of Sawah Rice Technology among Farmers in Ashanti Region of Ghana显示文摘 | Cornelius Idowu Alarimal Comfort Oyekale Adamu Joseph Mubo Awotunde Mary Nuako Bandoh Tsugiyuki Masunaga Toshiyuki Wakatsuki | 2013 | Journal of Agricultural Science and Technology(B)2013，3，7： | 0 |
| 15 | An Ensemble-Based Hotel Reviews System Using Naive Bayes Classifier显示文摘The task of classifying opinions conveyed in any form of text online is referred to as sentiment analysis.The emergence of social media usage and its spread has given room for sentiment analysis in our daily lives.Social media applications and websites have become the foremost spring of data recycled for reviews for sentimentality in various fields.Various subject matter can be encountered on social media platforms,such as movie product reviews,consumer opinions,and testimonies,among others,which can be used for sentiment analysis.The rapid uncovering of these web contents contains divergence of many benefits like profit-making,which is one of the most vital of them all.According to a recent study,81%of consumers conduct online research prior to making a purchase.But the reviews available online are too huge and numerous for human brains to process and analyze.Hence,machine learning classifiers are one of the prominent tools used to classify sentiment in order to get valuable information for use in companies like hotels,game companies,and so on.Understanding the sentiments of people towards different commodities helps to improve the services for contextual promotions,referral systems,and market research.Therefore,this study proposes a sentiment-based framework detection to enable the rapid uncovering of opinionated contents of hotel reviews.A Naive Bayes classifier was used to process and analyze the dataset for the detection of the polarity of the words.The dataset from Datafiniti’s Business Database obtained from Kaggle was used for the experiments in this study.The performance evaluation of the model shows a test accuracy of 96.08%,an F1-score of 96.00%,a precision of 96.00%,and a recall of 96.00%.The results were compared with state-of-the-art classifiers and showed a promising performance andmuch better in terms of performancemetrics. | Joseph Bamidele Awotunde Sanjay Misra Vikash Katta Oluwafemi Charles Adebayo | 2023 | Computer Modeling in Engineering & Sciences2023，，10： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员