Predicting climate induced floods using machine learning

Predicting climate induced floods using machine learning

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

Bibliografiske detaljer
Main Authors:	Saleh, Chowdhury Nafis, Alam, Farhan, Khan, Md. Jawad
Andre forfattere:	Shakil, Arif
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2022
Fag:	Flood prediction Climate change Machine learning Artificial intelligence
Online adgang:	http://hdl.handle.net/10361/17160

Lignende værker

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Udgivet: (2019)

Crop prediction based on geographical and climatic data using machine learning and deep learning
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Udgivet: (2019)

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Machine learning approach for improving decision support in ICU
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Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
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Udgivet: (2021)

An effective real-time flood disaster management with automated GSM warning system
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Udgivet: (2019)

Machine learning approach for ECG analysis and predicting different heart diseases
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Udgivet: (2019)

Comparison of machine learning techniques to predict cardiovascular disease
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Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
af: Tasnia, Rifah, et al.
Udgivet: (2024)

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Udgivet: (2018)

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Heart disease prediction using machine learning algorithms
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Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
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Predicting depression in Bangladeshi undergraduates using machine learning
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Udgivet: (2019)

Machine learning for stress prediction
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Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
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Predictive maintenance of HVAC system using supervised machine learning algorithms
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Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
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Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
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Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
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A deep learning approach for prediction of ADHD using brain structure
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Heart attack prediction using machine learning and XAI
af: Ahsan, Mumtahina
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Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
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Udgivet: (2023)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
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Udgivet: (2022)

Impact of machine learning and deep learning on biomedical applications and healthcare industry
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Breast cancer prediction using different machine learning models
af: Khandker Al- Muhaimin, et al.
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