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| 1 | 用于交通标志检测的窗口大小聚类残差SSD模型显示文摘SSD通常被认为适合于求解小目标图像检测问题,但在特征表征和检测效率两方面还存在改进空间.提出一种聚类残差SSD模型,一方面将原始SSD模型中的VGG16基础网络替换为更深的ResNet50残差网络,以改善特征表征能力.另一方面采用K-均值聚类算法取代盲目搜索机制,确定SSD中默认窗口的大小,以改善检测效率.针对德国交通标志检测数据集,模型获得了97.1%mAP和每幅图像0.07 s的检测速度.针对中国交通标志数据集,模型获得89.7%mAP和每幅图像0.08 s的检测速度.与原始SSD模型比较,本文所提模型的检测性能得到改善. | 宋青松 王兴莉 张超 陈禹 宋焕生 KHATTAK Asad Jan | 2019 | 湖南大学学报(自然科学版)2019，46，10： | 4 |
| 2 | Functional Characterization of Gibberellin-Regulated Genes in Rice Using Microarray System显示文摘Gibberellin (GA) is collectively referred to a group of diterpenoid acids, some of which act as plant hormones and are essential for normal plant growth and de- velopment. DNA microarray technology has become the standard tool for the parallel quantification of large numbers of messenger RNA transcripts. The power of this approach has been demonstrated in dissecting plant physiology and develop- ment, and in unraveling the underlying cellular signaling pathways. To understand the molecular mechanism by which GA regulates the growth and development of plants, with reference to the monocot model plant—rice, it is essential to identify and analyze more genes and their products at the transcription and translation levels that are regulated by GA. With the availability of draft sequences of two major rice types, indica and japonica rice, it has become possible to analyze global expression profiles of genes on a genome scale. In this review, the progress made in finding new genes in rice leaf sheath using microarray system and their char- acterization is discussed. It is believed that the findings made in this regard have important implications for understanding the mechanism by which GA regulates the growth and development of rice. | Asad Jan Setsuko Komatsu | 2006 | Genomics, Proteomics & Bioinformatics2006，4，3： | 3 |
| 3 | Fournier’s gangrene: A dreadful disease显示文摘 | S. Ullah M. Khan M. Asad Ullah Jan | 2009 | The Surgeon2009，，3： | 1 |
| 4 | Foumier' s gangrene: a dreadful disease 显示文摘 | Ullah S Khan M Asad Ullah Jan M | 2009 | Surgeon2009，7，3： | 1 |
| 5 | Identification of phosphoproteins regulated by gibberellin in rice leaf sheath显示文摘 | Md. Monowar Karim Khan Asad Jan Hideji Karibe Setsuko Komatsu | 2005 | Plant Molecular Biology2005，，1： | 1 |
| 6 | Deep Learning for Medication Recommendation:A Systematic Survey显示文摘Making medication prescriptions in response to the patient's diagnosis is a challenging task.The number of pharmaceutical companies,their inventory of medicines,and the recommended dosage confront a doctor with the well-known problem of information and cognitive overload.To assist a medical practitioner in making informed decisions regarding a medical prescription to a patient,researchers have exploited electronic health records(EHRs)in automatically recommending medication.In recent years,medication recommendation using EHRs has been a salient research direction,which has attracted researchers to apply various deep learning(DL)models to the EHRs of patients in recommending prescriptions.Yet,in the absence of a holistic survey article,it needs a lot of effort and time to study these publications in order to understand the current state of research and identify the best-performing models along with the trends and challenges.To fill this research gap,this survey reports on state-of-the-art DL-based medication recommendation methods.It reviews the classification of DL-based medication recommendation(MR)models,compares their performance,and the unavoidable issues they face.It reports on the most common datasets and metrics used in evaluating MR models.The findings of this study have implications for researchers interested in MR models. | Zafar Ali Yi Huang Irfan Ullah Junlan Feng Chao Deng Nimbeshaho Thierry Asad Khan Asim Ullah Jan Xiaoli Shen Wu Ruil Guilin Qi | 2023 | Data Intelligence2023，5，2： | 0 |
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