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20篇 您的检索式：作者名="Shabri"

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	题名	作者	年代	出处	被引量
1	Nonparametric Kernel Estimation of Annual Maximum Stream Flow Quantiles显示文摘	Shabri A	2002	Matematika2002，18，2：	1
2	A hybrid model of se-organi- zing maps (SOM) and least square support vector machine (LSSVM)for time-series forecasting显示文摘	Ismail S Shabri A Samsudin R	2011	Expert Systems with Appli- cations2011，38，10：	1
3	A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting显示文摘	ISMAIL S SHABRI A SAMSUDIN R	2011	Expert Systems with Applications2011，38，10：	1
4	River flow time series using least squares support vector machines显示文摘	Samsudin R Saad P Shabri A		0，，06：	1
5	A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting显示文摘	Shuhaida Ismail Ani Shabri Ruhaidah Samsudin	2011	Expert Systems with Applications2011，38，10：	1
6	A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting 显示文摘	Ismail Shuhaida Shabri Ani Samsudin Ruhaidah	2011	EXPERT SYS- TEMS WITH APPLICATIONS2011，，10：	1
7	A hybrid model of self-organizing maps and least square support vector machine for time-series forecasting显示文摘	ISMAIL S SHABRI A SAMSUDIN R	2011	Expert Systems with Appli- cations2011，38，10：	1
8	Fitting the generalized logistic distribution by LQ-moments 显示文摘	Ani Shabri	2011	Applied Mathematical Sciences2011，5，54：	1
9	A Hybrid Model of Self-organizing Maps(SOM) and Least Square Support Vector Machine (LSSVM) for Timeseries Forecasting显示文摘	Shuhaida I Ani Shabri Ruhaidah Samsudin	2011	Expert Systems with Applications2011，38，10：	1
10	River flow time series using least squares support vector machines显示文摘	Samsudin R Saad P Shabri A	2011	Hy- drology Earth System Sciences2011，15，6：	1
11	Forecasting gold prices using multiple linear regression method显示文摘	Ismail Z Yahya A Shabri A	2009	American Journal of Applied Sciences2009，6，8：	1
12	A hybrid model of selforganizing maps(SOM)and least square support vector machine(LSSVM)for time-series forecasting显示文摘	Ismail S Shabri A Samsudin R	2011	Expert Systems with Applications2011，38，10：	1
13	Forecasting gold prices using multiple linear regression ethod显示文摘	Ismail Z Yahya A Shabri A	2009	American Journal of Applied Sci-ences2009，6，8：	1
14	A hybrid model of self-organ- izing maps (SOM) and least square support vector machine for time-series forecasting显示文摘	Ismail S Shabri A Samsudin R	2011	Expert Systems with Applications2011，38，10：	1
15	Forecasting Gold Prices Using Multi- ple Linear Regression Method 显示文摘	Ismail Z Yahya A Shabri A	2009	American Jnurnal of Applied Sciences2009，33，6：	1
16	Regional Frequency Analysis of Extreme Rainfalls in the West Coast of Peninsular Malaysia using Partial L-Moments显示文摘	Zahrahtul Amani Zakaria Ani Shabri Ummi Nadiah Ahmad	2012	Water Resources Management2012，，15：	1
17	River flow time series using least squares support vector machines显示文摘	Samsudin R Saad P Shabri A	2011	Hydrology and Earth Sys tem Sciences2011，15，6：	1
18	Forecasting Gold Prices Using Multiple Linear Regression Method显示文摘	ISMAIL Z YAHYA A SHABRI A	2009	American Journal of Applied Sciences2009，，8：	1
19	黑孜然的肝脏保护和心血管保护作用:一项荟萃分析显示文摘目的有大量证据揭示,非酒精性脂肪性肝病患者是心血管疾病的高危人群,而心血管疾病是此类患者死亡的首要原因。本研究旨在评价黑孜然对肝脏和心血管保护作用。方法采用PRISMA指南进行荟萃分析,于2022年6月在PubMed、ScienceDirect、Cochrane Library网站分别检索2010年1月至2021年12月发表的相关文献。应用Review Manager软件(5.3版)对天冬氨酸转氨酶和丙氨酸转氨酶水平、血脂、血糖、体重和体重指数等指标进行统计学分析。结果黑孜然能显著降低研究对象的天冬氨酸转氨酶(P=0.009)和丙氨酸转氨酶(P<0.05)水平。同时,黑孜然组受试者脂肪肝治愈率显著高于安慰剂组(P=0.0001)。此外,黑孜然组受试者的血脂、血压、空腹血糖均显著降低(P<0.05)。然而,黑孜然组与安慰剂组的体重和体重指数无显著差异(P>0.05)。结论尽管黑孜然组和安慰剂组的体重和体重指数差异不显著,但黑孜然对非酒精性脂肪性肝病或慢性肝病患者确实具有一定的肝脏保护和心血管保护作用。	Fathiyah Safithri Diah Hermayanti Isbandiyah Probo Yudha Pratama Putra Faiq Shabri Maulana Aji Muthi’ah Nur Azizah	2023	Digital Chinese Medicine2023，6，2：	0
20	The Group Method of Data Handling (GMDH) and Artificial Neural Networks (ANN)in Time-Series Forecasting of Rice Yield显示文摘	Nadira Mohamed Isa Shabri Ani Samsudin Ruhaidah	2011	材料科学与工程(中英文B版)2011，1，3：	0

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