Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Autors principals: | Toufique, S.M, Bhuiyan, Sadiq Uddin, Lateef, Ahmed, Zaman, Arman, Islam, Jubaer Bin |
---|---|
Altres autors: | Ziaul Karim, Dewan |
Format: | Thesis |
Idioma: | English |
Publicat: |
Brac University
2024
|
Matèries: | |
Accés en línia: | http://hdl.handle.net/10361/22779 |
Ítems similars
-
Predicting climate induced floods using machine learning
per: Saleh, Chowdhury Nafis, et al.
Publicat: (2022) -
Multimodal human detection in disaster situations using deep learning & artificial intelligence
per: Rafat, Md. Tasbi, et al.
Publicat: (2023) -
An implementation and analysis of deep learning models for the detection of wheat diseases
per: Zubair, Ahmad, et al.
Publicat: (2024) -
An effective real-time flood disaster management with automated GSM warning system
per: Faruk, Omar, et al.
Publicat: (2024) -
Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
per: Islam, Roman, et al.
Publicat: (2024)