Predicting temperature of major cities using machine learning and deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Hoofdauteurs: | Jaharabi, Wasiou, Hossain, MD Ibrahim Al, Tahmid, Rownak, Islam, Md. Zuhayer, Rayhan, T.M. Saad |
---|---|
Andere auteurs: | Shakil, Arif |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
Brac University
2024
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/23616 |
Gelijkaardige items
-
An android application to predict human activity using a deep learning LSTM model
door: Sikder, Debabrata
Gepubliceerd in: (2024) -
The influence of neuromarketing: machine learning based empirical analysis
door: Muktadir, MD. Abdullah Al, et al.
Gepubliceerd in: (2024) -
Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
door: Chakraborty, Dhruba, et al.
Gepubliceerd in: (2022) -
Conversion of Bengali speech to text using long short-term memory(LSTM)
door: Chowdhury, Mohammad Fahim, et al.
Gepubliceerd in: (2021) -
Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks
door: Al-Wasee, Mohammad Samin, et al.
Gepubliceerd in: (2022)