KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/5334
Title: | ICAR-IASRI Newsletter, Jan-March, 2017 |
Other Titles: | Not Available |
Authors: | Director ICAR-IASRI |
Published/ Complete Date: | 2017-04-01 |
Project Code: | Not Available |
Keywords: | Agricultural Statistics Design of Experiments Sample Surveys Statistical Genetics Forecasting Techniques Bioinformatics Computer Applications |
Publisher: | ICAR-IASRI, Library Avenue, New Delhi |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Under creating awareness for efficient use of ICT and MOOCs in agriculture education, a website ICTIAA (http://ictiaa.icar.gov.in) has been developed to provide both the services of Massive Open Online Course (MOOC) as well as impact analysis of ICT Tools. It access the response or views of faculty, students and Non teaching staff with ICTs tools used in agriculture education via online form and predict the impact of ICTs agriculture education through the response of data set of questionnaire. Through the Hybrid ARFIMA Model for Forecasting Long Memory Time Series Data, attempts have been made to investigate the structure lone memory in daily wholesale price of mustard in Mumbai market. Forecasted values obtained from ARFIMS model and forecasts of residuals obtained from ANN are combined and forecasting accuracies one compared and the proposed hybrid model was found to be superior over ARFIMA model in terms of several measurements indices. Under An Improved Technique for selection of Biological Informative Genes, The Boot-SVM-RFE technique has been found to be efficient and robust for selection of biological informative gene selection as compared to existing gene selection techniques. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | News Letter |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
NAAS Rating: | Not Available |
Volume No.: | 21(4) |
Page Number: | 1-27 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://iasri.res.in/NewsLetters/year2017/Jan-Mar2017.pdf |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/5334 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Jan-Mar2017.pdf | 1.59 MB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.