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在“Elsevier电子期刊”中，命中：15,198条，耗时：0.0149907 秒

在所有数据库中总计命中：18,525条

1.Maize kernel weight responses to sowing date-associated variation in weather conditions

作者：Baoyuan Zhou^a ; ¹ ; Yang Yue^b ; ¹ ; Xuefang Sun^a ; Zaisong Ding^a ; Wei Ma^a ; ^{weiwei_8200@126.com} ; Ming Zhao^a ; ^{zhaomingcau@163.net}

关键词：SD ; sowing date ; AT ; effective cumulative temperature ; Ra ; cumulative solar radiation ; Tmean ; daily mean temperature ; Tmax ; daily maximum temperature ; Tmin ; daily minimum temperature ; Pr ; cumulative precipitation ; KW ; kernel dry weight ; Wmax ; the increased kernel weight at the maximum grain-filling rate ; Pf ; the effective grain-filling duration ; Gmean ; the mean kernel growth rate ; R0 ; the initial grain-filling potential ; Gmax ; the maximum kernel growth rate ; Dmax ; date of maximum kernel growth r

刊名：The Crop Journal

出版年：2017

2.Changes in kernel morphology and starch properties of high-amylose brown rice during the cooking process

作者：Ting Pan ; Lingxiao Zhao ; Lingshang Lin ; Juan Wang ; Qiaoquan Liu ; ^{qqliu@yzu.edu.cn} ; Cunxu Wei ; ^{cxwei@yzu.edu.cn}

关键词：High-amylose rice ; Brown kernel ; Cooking ; Kernel morphology ; Starch properties

刊名：Food Hydrocolloids

出版年：2017

3.Relaxation and diffusion models with non-singular kernels

作者：HongGuang Sun^a ; Xiaoxiao Hao^a ; Yong Zhang^a ; ^b ; ^{yzhang264@ua.edu} ; Dumitru Baleanu^c ; ^d

关键词：Anomalous relaxation and diffusion ; Non-singular kernel ; Stretched exponential function kernel ; Memory characterization ; Mean squared displacement

刊名：Physica A: Statistical Mechanics and its Applications

出版年：2017

4.MREKLM: A fast multiple empirical kernel learning machine

作者：Qi Fan^aAuthor Vitae ; Zhe Wang^a ; ^c ; ^{wangzhe@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Hongyuan Zha^bAuthor Vitae ; Daqi Gao^a ; ^{gaodaqi@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Multiple Kernel Learning ; Empirical Kernel Mapping ; Random projection ; Analytical optimization ; Classifier design ; Pattern recognition

刊名：Pattern Recognition

出版年：2017

5.Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction

作者：Wentao Ma^a ; ^{mwt7980@aliyun.com} ; Jiandong Duan^a ; Weishi Man^a ; Haiquan Zhao^b ; Badong Chen^c

关键词：Kernel trick ; Mean p-power error criterion ; Noisy chaotic time series prediction ; Impulsive noises

刊名：Engineering Applications of Artificial Intelligence

出版年：2017

6.Canonical kernel dimension reduction

作者：Chenyang Tao^a ; ^b ; Jianfeng Feng^a ; ^b ; ^c ; ^{jianfeng64@gmail.com}

关键词：Canonical correlation analysis ; Canonical functions ; Kernel dimension reduction ; Krylov subspace ; Sufficient dimension reduction ; Reproducing kernel Hilbert space

刊名：Computational Statistics & Data Analysis

出版年：2017

7.On Wright’s generalized Bessel kernel

作者：Lun Zhang ^{lunzhang@fudan.edu.cn}

关键词：Wright&rsquo ; s generalized Bessel kernel ; Integrable representation ; Muttalib-Borodin ensembles ; Fredholm determinant ; Gap probability ; Coupled nonlinear differential equations

刊名：Physica D: Nonlinear Phenomena

出版年：2017

8.3D MR image denoising using rough set and kernel PCA method

作者：Ashish Phophalia^a ; ^{ashish_p@iiitvadodara.ac.in} ; Suman K. Mitra^b ; ^{suman_mitra@daiict.ac.in} ;

关键词：Image denoising ; Magnetic resonance imaging ; Rough set theory ; Kernel Principle Component Analysis

刊名：Magnetic Resonance Imaging

出版年：2017

9.In search of an optimal kernel for a bias correction method for density estimators

作者：Lyudmila Sakhanenko ^{luda@stt.msu.edu}

关键词：Kernel smoothing ; Integrated mean square error ; Density estimation

刊名：Statistics & Probability Letters

出版年：2017

10.Ultrasound technology enhances the hydration of corn kernels without affecting their starch properties

作者：Alberto Claudio Miano^a ; ^{cmiano@usp.br} ; Albert Ibarz^b ; Pedro Esteves Duarte Augusto^a ; ^{pedro.ed.augusto@usp.br}

关键词：Ultrasound ; Hydration ; Modeling ; Corn kernels ; Starch

刊名：Journal of Food Engineering

出版年：2017

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