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.
Egile Nagusiak: | Toufique, S.M, Bhuiyan, Sadiq Uddin, Lateef, Ahmed, Zaman, Arman, Islam, Jubaer Bin |
---|---|
Beste egile batzuk: | Ziaul Karim, Dewan |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
Brac University
2024
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/22779 |
Antzeko izenburuak
-
Predicting climate induced floods using machine learning
nork: Saleh, Chowdhury Nafis, et al.
Argitaratua: (2022) -
Multimodal human detection in disaster situations using deep learning & artificial intelligence
nork: Rafat, Md. Tasbi, et al.
Argitaratua: (2023) -
An implementation and analysis of deep learning models for the detection of wheat diseases
nork: Zubair, Ahmad, et al.
Argitaratua: (2024) -
An effective real-time flood disaster management with automated GSM warning system
nork: Faruk, Omar, et al.
Argitaratua: (2024) -
Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
nork: Islam, Roman, et al.
Argitaratua: (2024)