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.
Main Authors: | Toufique, S.M, Bhuiyan, Sadiq Uddin, Lateef, Ahmed, Zaman, Arman, Islam, Jubaer Bin |
---|---|
Other Authors: | Ziaul Karim, Dewan |
Format: | Thesis |
Language: | English |
Published: |
Brac University
2024
|
Subjects: | |
Online Access: | http://hdl.handle.net/10361/22779 |
Similar Items
-
Predicting climate induced floods using machine learning
by: Saleh, Chowdhury Nafis, et al.
Published: (2022) -
Multimodal human detection in disaster situations using deep learning & artificial intelligence
by: Rafat, Md. Tasbi, et al.
Published: (2023) -
An implementation and analysis of deep learning models for the detection of wheat diseases
by: Zubair, Ahmad, et al.
Published: (2024) -
An effective real-time flood disaster management with automated GSM warning system
by: Faruk, Omar, et al.
Published: (2024) -
Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
by: Islam, Roman, et al.
Published: (2024)