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34篇 您的检索式:作者名="Akintayo"
    题名 作者 年代 出处 被引量
1Characteristics and composition of Parkia biglobbossa and Jatropha curcas oils and cakes 显示文摘Akintayo E T 2004Bioresour Technol2004,92,:1
2Characteristics and composition of Parkia biglobbossa and Jatropha curcas oils and cakes显示文摘Akintayo E T 2004Bioresource Technology2004,92,3:1
3Synthesis,characterization andevaluation of chlorinated albizia benth medium oil alkyds显示文摘Akintayo C O Adebowale K O 2004Prosress in Organic Coatings2004,50,:1
4Effects of NaCl, ionic strength and pH on the foaming and gelation of pigeon pea (Cajanus ca jan) protein concentrates显示文摘AKINTAYO E T OSHODI A A ESUOSO K O 1999Food Chemistry1999,66,:1
5Synthesis and characterization of acrylated Albizia benth medium oil alkyds 显示文摘Akintayo C O Adebowale K O 2004Progress in Organic Coatings2004,50,4:1
6Lipidlowering effects of methanol extract of Vernonia amygdalina leaves in rats fed on high cholesterol diet显示文摘Adaramoye OA Akintayo O Achem J 2008Vasc Health Risk Manag2008,4,1:1
7Characteristics and composition of parkia biglobbossa and jatropha curcas oils and cakes显示文摘Akintayo E T 2004Bioresource Technology2004,92,:1
8Effects of Naclionic strength and pH on the foaming and gelation of pi- geon pea protein concentrates显示文摘Akintayo E T Oshodi A A Esuoso K O 1999Food Chem1999,66,:1
9Synthesis and characterization of acrylated Albizia benth medium oil alkyds显示文摘Akintayo C.O Adebowale K.O 0,,04:1
10Characteristics and composition of Parkia biglobbossa and Jatropha curcas oils and cakes 显示文摘AKINTAYO E T 2004Bioresource Teehnol2004,92,:1
11Synthesis and characterization of acrylated Albizia benth medium oil alkyds显示文摘Akintayo CO Adebowale KO 2004Progress in Organic Coatings2004,50,4:1
12Gas chromato- graphic and spectroscopic analysis of epoxidised canola oil 显示文摘AKINTAYO E T ZIEGLER T ONIPEDE A 2006Bull Chem Soc Ethiop2006,20,1:1
13Effects of NaCl, ionic strength and pH on the foaming and gelation of pigeon pea (Cajanus cajan) protein concentrates显示文摘AKINTAYO E T OSHO9DI A A ESUOSO K O 1999Food Chemistry1999,66,:1
14Chemical composition and physicochemical properties of fluted purnpkin seed oils显示文摘Akintayo ET 1997Rivista Italiana delle sostanze Grasse1997,74,:1
15Effects of NaC1,ionic strength and pH on the foaming and gelation of pigeon pea(Cajanus cajan)protein concentrates 显示文摘Akintayo E T Oshodi A A Esuoso K O 1999Food Chemistry1999,66,:1
16Recent trend in the physical and chemical modification of starches from different botanical sources:A review显示文摘Adeleke Omodunbi Ashogbon Emmanuel Temitope Akintayo 2014Starch/Starke2014,66,:1
17Effects of NaC1,ionic strength and pH on the foaming and gelation of pigeon pea (Cajanus cajan)protein concentrates显示文摘Akintayo E T Oshodi A A Esuoso K O 1999Food Chemistry1999,66,:1
183D convolutional selective autoencoder for instability detection in combustion systems显示文摘While analytical solutions of critical(phase)transitions in dynamical systems are abundant for simple nonlinear systems,such analysis remains intractable for real-life dynamical systems.A key example is thermoacoustic insta-bility in combustion,where prediction or early detection of the onset of instability is a hard technical challenge,which needs to be addressed to build safer and more energy-efficient gas turbine engines powering aerospace and energy industries.The instabilities arising in combustion chambers of engines are mathematically too complex to model.To address this issue in a data-driven manner instead,we propose a novel deep learning architecture called 3D convolutional selective autoencoder(3D-CSAE)to detect the evolution of self-excited oscillations using spatiotemporal data,i.e.,hi-speed videos taken from a swirl-stabilized combustor(laboratory surrogate of gas turbine engine combustor).3D-CSAE consists of filters to learn,in a hierarchical fashion,the complex visual and dynamic features related to combustion instability from the training videos(i.e.,two spatial dimensions for the image frames and the third dimension for time).We train the 3D-CSAE on frames of videos obtained from a limited set of operating conditions.We select the 3D-CSAE hyper-parameters that are effective for characterizing hierarchical and multiscale instability structure evolution by utilizing the dynamic information available in the video.The proposed model clearly shows performance improvement in detecting the precursors and the onset of instability.The machine learning-driven results are verified with physics-based off-line measures.Advanced active control mechanisms can directly leverage the proposed online detection capability of 3D-CSAE to mitigate the adverse effects of combustion instabilities on the engine operating under various stringent requirements and conditions.Tryambak Gangopadhyay Vikram Ramanan Adedotun Akintayo Paige K Boor Soumalya Sarkar Satyanarayanan R Chakravarthy Soumik Sarkar 2021Energy and AI2021,4,2:1
19Effects of NaCl, ionic strength and pH on the foaming and gelation of pigeon pea (Cajanus cajan) protein concentrates显示文摘AKINTAYO E T OSHODI A A ESUOSO K O 1999Food Chemistry1999,66,1:1
20Calcium, zinc and phytate interrelationships in some foods of major consumption in Nigeria显示文摘Adeyeye E I Arogundade L A Akintayo E T Aisida O A Alao P A 2000Food Chemistry2000,71,:1
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