Estimating flood susceptibility of Bangladesh in the future year using machine learning

Estimating flood susceptibility of Bangladesh in the future year using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiska uppgifter
Huvudupphovsmän:	Alim, Sakib Bin, Lucky, Rakebun Islam, Ahmed, Aunindya Arif, Nahian, Prethu
Övriga upphovsmän:	Islam, MD Saiful
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2021
Ämnen:	Flood Susceptibility Machine Learning Flood in Bangladesh Linear Regression Model and Random forest Naive Bayes Theorem Artificial Neural Network
Länkar:	http://hdl.handle.net/10361/15202

Liknande verk

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

Flood prediction using ensemble machine learning models
av: Rahman, Tanvir
Publicerad: (2024)

A feature selection approach to determine obesity using machine learning method
av: Antor, Shahidul Alam, et al.
Publicerad: (2021)

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

A machine learning approach to predict young voter enthusiasm based on non-political factors
av: Rahman, Md. Nowroz Junaed, et al.
Publicerad: (2021)

Predicting climate induced floods using machine learning
av: Saleh, Chowdhury Nafis, et al.
Publicerad: (2022)

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

An effective real-time flood disaster management with automated GSM warning system
av: Faruk, Omar, et al.
Publicerad: (2024)

A hybrid rumor detection model derived from a comparative study of supervised approaches
av: Aothoi, Mehzabin Sadat, et al.
Publicerad: (2023)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
av: Al Amin, Istiak, et al.
Publicerad: (2022)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
av: Sarkar, Ripa, et al.
Publicerad: (2024)

Stock market prediction using ensemble learning
av: Rabbani, Rakin Bin, et al.
Publicerad: (2021)

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

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

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

Cardiovascular disease prediction model using Machine Learning Algorithm
av: Arefin Mirdha, MD Shamsul
Publicerad: (2023)

Fighting depression: psychological approaches among Bangladeshi university students
av: Sen, Sanjib Kumar, et al.
Publicerad: (2022)

Recognizing sentimental emotions in text by using Machine Learning
av: Bushra, Tabassum Khan, et al.
Publicerad: (2023)

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

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

Polycystic ovary syndrome detection using neural network.
av: Istiyaq, Tahsin, et al.
Publicerad: (2024)

Parking data analysis
av: Ahamed, Kasfi, et al.
Publicerad: (2023)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
av: Rabbi, Md. Nafis
Publicerad: (2024)

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

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

Weather forecasting using Deep Learning
av: Fahad, Sheikh Abdul, et al.
Publicerad: (2023)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
av: Mahmud, Mahmudul Hasan
Publicerad: (2021)

Early detection of breast cancer using machine learning
av: Fuad, Wasi Mohammad
Publicerad: (2019)

Application of CNN based architectures in detection of distracted drivers
av: Arafin, Irfana, et al.
Publicerad: (2023)

Performance analysis of machine learning algorithms for Malware classification
av: Bushra, Raisa Hasan, et al.
Publicerad: (2023)

Early grade prediction using profile data
av: Iqbal, Sumaiya, et al.
Publicerad: (2021)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
av: Saad-Ul-Kabir, Syed, et al.
Publicerad: (2021)

An effective machine learning approach for sentiment analysis of restaurant reviews
av: Karim, Rabita
Publicerad: (2018)

A counseling system to predict the study path for freshmen
av: Usha, Rowshni Tasneem, et al.
Publicerad: (2019)

Text classification using machine learning algorithms
av: Hasnat, Fahim, et al.
Publicerad: (2018)

Localization of aid – a case of Bangladesh flood 2017
av: Alam, Shofiul
Publicerad: (2018)

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

Perspectives on flood 1998 /
Publicerad: (2000)

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

A guide to identification of affected persons, damage estimation and need-assessment during flood
av: Ahmed, Syed Masud
Publicerad: (2019)