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.
Use of a hypothetically optimal non-recursive digital smoothing filter for comparative study of signal denoising methods in analytical chemistry
We developed a hypothetically optimal non-recursive digital smoothing filter which minimises the sum of the squared norms of the residuals (between true and smoothed signals) and of the smoothed noise. It has been proven...
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...
APPLICATION OF TOPOGRAPHICAL SURVEY FOR ASSESSMENT OF ISUNJABA GULLY EROSION SITE IN ISU LOCAL GOVT. AREA OF IMO STATE
Topographical survey has been a useful tool to better understand the undulation of terrains (terrain relief), and in particular serve as a planning tool on how to remedy eroded terrains to avoid further degradation/defor...
Sum Square Difference Product Prime Labeling of Some Cycle Related Graphs
Sum square difference product prime labeling of a graph is the labeling of the vertices with {0,1,2---------,p-1} and the edges with absolute difference of the square of the sum of the labels of the incident vertices an...
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...