Visualizing the Future on the Incidents of Dengue Fever in India by Using the Techniques of Time Series Analysis
Journal Title: International Journal of Emerging Technologies in Computational and Applied Sciences - Year 2018, Vol 25, Issue 1
Abstract
Time series analysis had been increasingly used to forecast the number of dengue fever in many studies. This study was conducted to determine trend and forecasting the dengue cases in the years, the three successive years from 2018 to 2020. A time series analysis was conducted by secular trend values to the live data by fitting the trend line using least square techniques.
A systematic study on the genus Erodium in Kurdistan of Iraq
Sixty two specimens of Erodium were loaned by Howler Botanical Garden herbarium to RNG herbarium at the University of Reading, UK, beside quite many living taxon that naturally found in the fields of Kurdistan. Morpholog...
Prediction of Earthquake using F.E.M Techniques
This proposal deals with the use of Finite Element Method to model the EARTH as a WHOLE to predict Earthquakes on time- scale .Here the EARTH is considered as a whole and hence a change recorded at any place when applied...
Theoretical Study of the Angular Frequencies for OPLP in BEC
This paper will focus mainly on angular frequencies of the laser beams and the role which these frequencies play in term of values and shapes of the optical lattice trapping potential OPLP induces through the working fie...
Smart Waste Management: An innovative approach to waste disposal and waste collection
In a large portion of the spots, the garbage are not cleaned at appropriate time interims which results in flooding of waste bringing about cleanliness issues, land contamination; additionally it makes a bad impact to th...
Pyrometallurgical recovery of Aluminum from Salt slag
Slag of aluminum is a residue which results during the melting process of primary and secondary aluminum production. Salt slag of aluminum is hazardous solid wastes due to the presence of the European Catalogue for Hazar...