1.An Analysis of Speech Recognition Performance Based Upon Network Layers and Transfer Functions

作　　者：Kuldeep Kumar ;R. K. Aggarwal ;Ankita Jain

出　　处：International Journal of Computer Science, Engineering and Applications (IJCSEA). 2011 ;1(3).

出版社：Academy & Industry Research Collaboration Center (AIRCC)

文章 ID：86831451

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2.Tridax procumbens Linn. is a weed found throughout India. It is reported to be composed of useful phytochemicals for medicinal purpose. In the present study, preliminary phytochemical screening of T. procumbens stem, leaf and callus cultures were carried out. Using TLC presence of two Sterols like β -sitosterol, stigmasterol and three flavonoids viz., Kaempferol, Quercetin and Luteolin, were identified. They were evaluated by their color, RF value, TLC behavior, melting point, and IR spectral studies Quantitative analysis revealed the presence of 5.88 mg/g.dw of total sterols, and 3.51 mg/gdw of total flavonoids. GC-MS analysis detected the presence of 33 useful compounds. In the leaf extract highest peak area (%) 14.65, was obtained by ethyl oleate and the lowest peak area (%) 0.46 was obtained by 9-Octadecenamide. Whereas, in stem extract the highest peak area (%) 14.24 was obtained by Tetracontane and the lowest peak area (%) 0.49 was obtained by 2, 8-Dimethyl-2-(4, 8, 12-Trimethyltridecyl)-6-CH. The total ion chromatogram showing the peak identities of the compounds have been identified using NIST library in the plant species. The presence of various bioactive compounds justifies the use of this plant in the modern system of health care for developing a novel drug

作　　者：ANKITA JAIN ;D.V RAO ;V. L. SIRISHA 等

出　　处：IMPACT : International Journal of Research in Applied, Natural and Social Sciences. 2015 ;3(5):9-26.

出版社：IMPACT Journals

文章 ID：174808789

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3.Software Effort Prediction using Statistical and Machine Learning Methods

作　　者：Ruchika Malhotra ;Ankita Jain

出　　处：International Journal of Advanced Computer Science and Applications(IJACSA). 2011 ;2(1).doi:10.14569/IJACSA.2011.020122

出版社：Science and Information Society (SAI)

文章 ID：111489378

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4.Privacy Preservation using On Demand Computational of Gain using Vertical Partition

作　　者：Ankita Jain ;Shubha Dubey ;Anurag Jain

出　　处：International Journal of Computer Science and Information Technologies. 2015 ;6(3):3175-3179.

出版社：TechScience Publications

文章 ID：125951213

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5.Tridax procumbens Linn. is a weed found throughout India. It is reported to be composed of useful phytochemicals for medicinal purpose. In the present study, preliminary phytochemical screening of T. procumbens stem, leaf and callus cultures were carried out. Using TLC presence of two Sterols like β -sitosterol, stigmasterol and three flavonoids viz., Kaempferol, Quercetin and Luteolin, were identified. They were evaluated by their color, RF value, TLC behavior, melting point, and IR spectral studies Quantitative analysis revealed the presence of 5.88 mg/g.dw of total sterols, and 3.51 mg/gdw of total flavonoids. GC-MS analysis detected the presence of 33 useful compounds. In the leaf extract highest peak area (%) 14.65, was obtained by ethyl oleate and the lowest peak area (%) 0.46 was obtained by 9-Octadecenamide. Whereas, in stem extract the highest peak area (%) 14.24 was obtained by Tetracontane and the lowest peak area (%) 0.49 was obtained by 2, 8-Dimethyl-2-(4, 8, 12-Trimethyltridecyl)-6-CH. The total ion chromatogram showing the peak identities of the compounds have been identified using NIST library in the plant species. The presence of various bioactive compounds justifies the use of this plant in the modern system of health care for developing a novel drug

作　　者：ANKITA JAIN, D.V RAO, V. L. SIRISHA ;AMITA JAIN

出　　处：IMPACT : International Journal of Research in Applied, Natural and Social Sciences. 2015 ;3(5):9-26.

出版社：IMPACT Journals

文章 ID：112940226

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6.COMPARATIVE QUANTITATIVE ESTIMATION OF SECONDARY METABOLITES AND HPLC ANALYSIS IN DIFFERENT PLANT PARTS OF TRIGONELLA FOENUM GRACEUM (L.)

作　　者：Tailor Varsha ;Ankita Jain

出　　处：IMPACT : International Journal of Research in Applied, Natural and Social Sciences. 2018 ;6-8:75-84.

出版社：IMPACT Journals

文章 ID：219789290

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	Ankita Jain	4篇
	AMITA JAIN	2篇
	ANKITA JAIN	1篇
	ANKITA JAIN, D.V RAO, V. L. SIRISHA	1篇
	Anurag Jain	1篇

	D.V RAO	1篇
	Kuldeep Kumar	1篇
	R. K. Aggarwal	1篇
	Ruchika Malhotra	1篇
	Shubha Dubey	1篇
	Tailor Varsha	1篇
	V. L. SIRISHA	1篇

	IMPACT : International Journal of Research in Applied, Natural and Social Sciences	3篇
	International Journal of Advanced Computer Science and Applications(IJACSA)	1篇
	International Journal of Computer Science and Information Technologies	1篇
	International Journal of Computer Science, Engineering and Applications (IJCSEA)	1篇

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