Browsing by Subject "Time series analysis"
Now showing items 1-7 of 7
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Bitcoin price forecasting based on historical data
(BRAC University, 2018-07)Over the past few years, Bitcoin has been a topic of interest of many, from academic researchers to trade investors. Bitcoin is the first as well as the most popular cryptocurrency till date. Since its launch in 2009, it ... -
An exploratory analysis of the industrial machine's data for predictive maintenance operations
(Brac University, 2021-01)Modern industries nowadays heavily rely on hefty machineries which have lots of moving parts and contain sensor data. These sensor data are indexed in time order which are referred to as time series data. Industrial ... -
Forecasting electricity demand of Bangladesh and its relation with physical and natural variables using group method of data handling model
(Brac University, 2021-01)The purpose of this work is to forecast the electricity demand of Bangladesh using the Group Method of Data Handling (GMDH). Electricity is one of the key variables in ensuring economic growth and a higher standard of ... -
IoT based air components collection for machine learning reinforcement
(Brac University, 2022-05)Air pollution has been a noteworthy threat for a long time now in the 21st century. Human lives have never faced such an obscene amount of threat from the very air it needs to breathe to stay alive. As technology evolves ... -
Predicting temperature of major cities using machine learning and deep learning
(Brac University, 2022-05)Currently, the issue that concerns the world leaders most is climate change for its effect on agriculture, environment and economies of daily life. So, to combat this, temperature prediction with strong accuracy is vital. ... -
Stock market prediction using time series analysis
(BRAC University, 2018-12)Stock market, a very unpredictable sector of finance, involves a large number of investors, buyers and sellers. Stock prediction has been a phenomenon since machine learning was introduced. But very few techniques became ... -
Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning
(Brac University, 2023-01-23)Customers are the heart and soul of supermarkets, and these stores often suffer losses due to mishandling of customer service. This study aims to examine how the satisfaction of customers can be maximized with the help ...
