Flood prediction using ensemble machine learning models

Flood prediction using ensemble machine learning models

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.

Detalhes bibliográficos
Autor principal:	Rahman, Tanvir
Outros Autores:	Alam,Golam Rabiul
Formato:	Tese
Idioma:	English
Publicado em:	2024
Assuntos:	Floods Machine learning Binary logistic regression Stacked generalization model Regression analysis > Data processing
Acesso em linha:	http://hdl.handle.net/10361/22984

Registros relacionados

Flood prediction using machine learning models
por: Syeed, Miah Mohammad Asif, et al.
Publicado em: (2022)

A thesis on utilizing machine learning models to predict material hardship
por: Das, Tirtha
Publicado em: (2024)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
por: Alim, Sakib Bin, et al.
Publicado em: (2021)

Predicting climate induced floods using machine learning
por: Saleh, Chowdhury Nafis, et al.
Publicado em: (2022)

A machine learning approach to detect depression and anxiety using supervised learning
por: Ullas, Md Tahmidur Rahman, et al.
Publicado em: (2019)

Prediction of bipolar disorder from mental episodes using machine learning approach
por: Tasmeem, Sumaiya, et al.
Publicado em: (2023)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
por: Boateng, Albert, et al.
Publicado em: (2024)

Performance analysis of machine learning algorithms in resume recommendation systems
por: Hasan, Ibteaz, et al.
Publicado em: (2018)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
por: Boateng, Albert, et al.
Publicado em: (2024)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
por: Karim, Shabab, et al.
Publicado em: (2018)

Machine learning for stress prediction
por: Salehin, Sherajus, et al.
Publicado em: (2023)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
por: Shihab, Ibne Farabi, et al.
Publicado em: (2018)

Application of machine learning techniques on the context of livestock analysis
por: Islam, Md. Shajedul, et al.
Publicado em: (2018)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
por: Imam, Saif
Publicado em: (2021)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
por: Turjo, Aquib Abtahi, et al.
Publicado em: (2021)

Stock market prediction using ensemble learning
por: Rabbani, Rakin Bin, et al.
Publicado em: (2021)

Heart disease prediction using techniques of classification in machine learning
por: Afrose, Sadia, et al.
Publicado em: (2021)

Polycystic ovary syndrome detection using neural network.
por: Istiyaq, Tahsin, et al.
Publicado em: (2024)

Forecasting stock market prices using advanced tools of machine learning
por: Anwar, Md. Tawhid, et al.
Publicado em: (2019)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
por: Alam, Auninda, et al.
Publicado em: (2021)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
por: Toufique, S.M, et al.
Publicado em: (2024)

Early detection of breast cancer using machine learning
por: Fuad, Wasi Mohammad
Publicado em: (2019)

Cardiovascular disease prediction model using Machine Learning Algorithm
por: Arefin Mirdha, MD Shamsul
Publicado em: (2023)

Weather forecasting using Deep Learning
por: Fahad, Sheikh Abdul, et al.
Publicado em: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
por: Rahee, Arnob, et al.
Publicado em: (2021)

Identification of fake news using machine learning in distributed system
por: Saif, Mehruz, et al.
Publicado em: (2021)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
por: Saquib, Muhammad Sadman, et al.
Publicado em: (2019)

Travel time prediction using machine learning and weather impact on traffic conditions
por: Deb, Bilash, et al.
Publicado em: (2018)

Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning
por: Ahmed, Shuvro, et al.
Publicado em: (2023)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
por: Farabe, Abdullah Al, et al.
Publicado em: (2021)

Heart disease prediction using machine learning algorithms
por: Ali, Musfiq, et al.
Publicado em: (2019)

Performance analysis of different machine learning approaches for single modal facial expression detection
por: Zinia, Surovi, et al.
Publicado em: (2018)

Machine learning based stream selection of secondary school students in Bangladesh
por: Ahmad, Shabbir
Publicado em: (2024)

Detecting online recruitment fraud by using machine learning
por: Ghosh, Gitanjali, et al.
Publicado em: (2021)

Finding ideal geographical location for businesses using machine learning technique
por: Mahmud, Mir Ibtid, et al.
Publicado em: (2022)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
por: Bhattacharjee, Ruposri, et al.
Publicado em: (2024)

Predicting depression in Bangladeshi undergraduates using machine learning
por: Choudhury, Ahnaf Atef, et al.
Publicado em: (2019)

Predicting depression in Bangladeshi undergraduates using machine learning
por: Choudhury, Ahnaf Atef, et al.
Publicado em: (2019)

Early grade prediction using profile data
por: Iqbal, Sumaiya, et al.
Publicado em: (2021)

Analyzing the security of e-Health data based on a hybrid federated learning model
por: Shafin, Md. Mehtabul Islam, et al.
Publicado em: (2023)