|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 腮腺良、恶性肿瘤的CT与MRI诊断显示文摘目的探讨腮腺良、恶性肿瘤的CT与MR诊断与鉴别诊断,以提高诊断准确率。方法回顾性分析我院经手术与病理证实的28例腮腺良、恶性肿瘤患者的临床资料与CT、MR资料。结果 28例患者中良性腮腺肿瘤18例,CT与MR主要表现为:呈类圆形等密度、MR等信号结节影,边界较清,轻度或中度均匀强化。恶性肿块10例,CT与MR主要表现为:类圆形或不规则形密度不均肿块,边界欠清,MR信号不均匀,增强后不均匀强化,伴侵犯周围组织。结论腮腺良、恶性肿瘤的CT与MR表现具有一定特征性,若肿块密度不均、形态不规则、边界不清、不均匀强化,常提示恶性腮腺肿瘤可能性大。 | Sristi Singh 刘珍银 | 2014 | 临床医学工程2014，21，8： | 10 |
| 2 | A new variable step-size LMS algorithm and its application in subband adaptive filtering for echo cancellation显示文摘 | SRISTI P LU W S ANTONIOU A | 2012 | IEEE Int Sympos2012，2，6： | 1 |
| 3 | A new variable-step-size LMS algorithm and its application in subband adaptive filtering for echo cancellation显示文摘 | Sristi P Lu W-S Antoniou A | 2001 | IEEE International Symposium2001，2，69： | 1 |
| 4 | A New Wariable- Step-Size LMS Algorithm and Its Application in Subband Adaptive Filtering for Echo Cancellation 显示文摘 | SRISTI P LU W S ANTONIOU A | 2001 | IEEE In-ternational Symposium2001，2，6： | 1 |
| 5 | A new variable-step size LMS algorithm and its application in subband a daptive filtering for echo cancellation显示文摘 | Sristi P Lu W S Antoniou A | 2012 | IEEE inter national symposium2012，，6： | 1 |
| 6 | A new variable step sizeLMS algorithm and its application in subband adaptivefiltering for echo cancellation 显示文摘 | Sristi P LuW S Antoniou A | 2010 | IEEE InternationalSymposium2010，12，6： | 1 |
| 7 | Combination of radiofrequency ablation with transarterial chemoembolization for hepatocellular carcinoma: an up-to-date meta-analysis显示文摘 | Zhenyin Liu Fei Gao Guang Yang Sristi Singh Mingjian Lu Tao Zhang Zhihui Zhong Fujun Zhang Rijie Tang | 2014 | Tumor Biology2014，，8： | 1 |
| 8 | A new variable-step-sizeI, M S algorithm and its application in subband adaptive filtering for echo cancellation显示文摘 | Sristi P Lu W S Antoniou A | 2012 | IEEE International Symposium2012，，6： | 1 |
| 9 | CT-guided implantation of radioactive 125 I seed in advanced non-small-cell lung cancer after failure of first-line chemotherapy显示文摘 | Tao Zhang Mingjian Lu Sheng Peng Weidong Zhang Guang Yang Zhenyin Liu Sristi Singh Yadi Yang Fujun Zhang Fei Gao | 2014 | Journal of Cancer Research and Clinical Oncology2014，，8： | 1 |
| 10 | Industry 4.0 Application in Manufacturing for Real-Time Monitoring and Control显示文摘Modern manufacturing aims to reduce downtime and track process anomalies to make profitable business decisions.This ideology is strengthened by Industry 4.0,which aims to continuously monitor high-value manufacturing assets.This article builds upon the Industry 4.0 concept to improve the efficiency of manufacturing systems.The major contribution is a framework for continuous monitoring and feedback-based control in the friction stir welding(FSW)process.It consists of a CNC manufacturing machine,sensors,edge,cloud systems,and deep neural networks,all working cohesively in real time.The edge device,located near the FSW machine,consists of a neural network that receives sensory information and predicts weld quality in real time.It addresses time-critical manufacturing decisions.Cloud receives the sensory data if weld quality is poor,and a second neural network predicts the new set of welding parameters that are sent as feedback to the welding machine.Several experiments are conducted for training the neural networks.The framework successfully tracks process quality and improves the welding by controlling it in real time.The system enables faster monitoring and control achieved in less than 1 s.The framework is validated through several experiments. | Debasish Mishra Ashok Priyadarshi Sarthak M Das Sristi Shree Abhinav Gupta Surjya K Pal Debashish Chakravarty | 2022 | Journal of Dynamics, Monitoring and Diagnostics2022，1，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员