Flood prediction using machine learning models

Flood prediction using machine learning models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliografiske detaljer
Main Authors:	Syeed, Miah Mohammad Asif, Farzana, Maisha, Namir, Ishadie, Ishrar, Ipshita, Nushra, Meherin Hossain
Andre forfattere:	Rahman, Tanvir
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2022
Fag:	Binary logistic regression Support Vector Classifier(SVC) K-Nearest Neighbor(KNN) Decision Tree Classifier(DTC) Flood prediction Rainfall Machine learning Artificial intelligence
Online adgang:	http://hdl.handle.net/10361/16635

Lignende værker

Effectiveness of data mining in predicting heart diseases
af: Afrin, Shahria, et al.
Udgivet: (2018)

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

Prediction of earthquakes: a step towards predicting the unpredictable
af: Chowdhury, Maheen, et al.
Udgivet: (2023)

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

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

An approach to detect epileptic seizure using XAI and machine learning
af: Bijoy, Emam Hasan, et al.
Udgivet: (2022)

A comparative study of car image generation quality using DCGAN and VSGAN
af: Shayer, Mirza Ahmad, et al.
Udgivet: (2022)

Enhancing crops production based on environmental status using machine learning techniques
af: Talukder, Shiyam, et al.
Udgivet: (2021)

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

Sentiment analysis for Bengali newspaper headlines
af: Hossain, Mohammad Samman, et al.
Udgivet: (2017)

Parking data analysis
af: Ahamed, Kasfi, et al.
Udgivet: (2023)

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

EMG controlled bionic robotic arm using artificial intelligence and machine learning
af: Rupom, Farhan Fuad, et al.
Udgivet: (2021)

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

Detecting online recruitment fraud by using machine learning
af: Ghosh, Gitanjali, et al.
Udgivet: (2021)

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
af: Hossain, Shoumik, et al.
Udgivet: (2022)

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

Human recognition using wireless router signal
af: Chowdhury, S. M. A. Muksit, et al.
Udgivet: (2019)

Flood prediction using ensemble machine learning models
af: Rahman, Tanvir
Udgivet: (2024)

Heart disease prediction system
af: Amit, Tayab Al Azad, et al.
Udgivet: (2022)

Machine learning In breast cancer prognosis and prediction
af: Chowdhury, Shah Abul Hasnat, et al.
Udgivet: (2023)

Email classification and meeting scheduling using classifier algorithm
af: Khan, Behroz Newaz, et al.
Udgivet: (2017)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
af: Mahmud, Booshra Nazifa, et al.
Udgivet: (2019)

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

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

Use of machine learning and IoT for monitoring and tracking of livestock
af: Aunindita, Rudaba Farhin, et al.
Udgivet: (2023)

Assistive Guideline of Categorization for Competitive Programming Problems
af: Dhrubo, Najmus Sakib, et al.
Udgivet: (2021)

Prediction of rainfall using data mining techniques
af: Prema, Fahmida Tasnim, et al.
Udgivet: (2018)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
af: Mouli, Nazifa, et al.
Udgivet: (2023)

Analysis on IOT Botnet and DDOS attack
af: Nur, Md. Walid Bin
Udgivet: (2018)

Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
af: Shrestha, Soptorsi Paul, et al.
Udgivet: (2021)

Performance analysis of stacking neural network and machine learning model for detecting fraudulent transaction
af: Chowdhury, Ahnaf Shahriyar, et al.
Udgivet: (2021)

Breast cancer prediction using different machine learning models
af: Khandker Al- Muhaimin, et al.
Udgivet: (2020)

Emotion detection using EEG signals
af: Hossain, Mohammad Adnan
Udgivet: (2021)

Best feature selection and data visualization for breast cancer prediction
af: Hemel, Tanjim Ahmed, et al.
Udgivet: (2020)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
af: Shourin, Bushra, et al.
Udgivet: (2018)

Perspectives on flood 1998 /
Udgivet: (2000)

Flood 2000 /
Udgivet: (2002)

Image recognition by deep learning
af: Mohiuddin, Karishma, et al.
Udgivet: (2018)

Botnet detection In IoT devices using machine learning
af: Rouf, Shakir, et al.
Udgivet: (2020)