Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/357216
Title: | Design and Implementation of High Precision Rain Forecasting Model Using Dynamic Model Selection Method |
Researcher: | Yogesh Kumar Jakhar |
Guide(s): | Gandhi, Geeta Chhabra and Mishra, Nidhi and Poonia, Rakesh |
Keywords: | Computer Science Computer Science Theory and Methods Engineering and Technology |
University: | Poornima University |
Completed Date: | 2021 |
Abstract: | newline Weather is possibly the mostly commonly meet natural occurrence which influence the newlinehuman life worldwide on day to day basis. Weather forecasting depends on lots of parameters; newlinethese parameters influence the weather condition directly or indirectly. The research area of newlineweather events forecasting has increased evolution of many scientists from various newlineinvestigation societies, because of its direct effects to the world wide human being life. newlineWeather estimate models are the most weighty equation type models that should be solved by newlinean advanced computer system. The weather events ice storms, fog and snow storms are very newlinehazardous events that can happen on the roads and creating many major troubles for highway newlineroad protection. So whereas a conventional weather prediction model offers an influential newlinesystem intelligent to provide signals or warning regarding the weather progression in next newlinehours/days in a huge geographical area, where as the embedded method is used to formulate newlineextremely short-term narrow location forecasting. newlineWeather event prediction has increased attention of numerous researchers or scientist from newlinedifferent research societies due to its impact on human being worldwide. In the present time, newlinethere is a wide accessibility of huge weather surveillance datasets and the arrival of data or newlineinformation and computer science techniques in the last years have inspired several new newlineinvestigates to discover hidden pattern in the huge dataset for weather event forecasting newlineworldwide. On daily basis huge amount of weather related data are gathered from satellites, newlineweather station using different devices and sensors that are fixed on different geographical newlinelocation worldwide. These datasets can be used to predict weather conditions for a particular newlinelocation in the world. Now day s weather scientists give prediction report about weather newlineconditions for next 24, 48, and 72 hours or up to one week for broad areas. Today these newlinereports are reasonably trustworthy but they are unusual that in a limited area... |
Pagination: | |
URI: | http://hdl.handle.net/10603/357216 |
Appears in Departments: | Department of Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 1.36 MB | Adobe PDF | View/Open |
certificate.pdf | 1.41 MB | Adobe PDF | View/Open | |
chapter-1.pdf | 1.74 MB | Adobe PDF | View/Open | |
chapter-2.pdf | 1.61 MB | Adobe PDF | View/Open | |
chapter-3.pdf | 1.62 MB | Adobe PDF | View/Open | |
chapter-4.pdf | 1.89 MB | Adobe PDF | View/Open | |
chapter-5.pdf | 1.72 MB | Adobe PDF | View/Open | |
preliminary pages.pdf | 1.43 MB | Adobe PDF | View/Open | |
title.pdf | 1.34 MB | Adobe PDF | View/Open |
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