Implementing machine learning techniques to forecast floods In Bangladesh based on historical data

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.

Manylion Llyfryddiaeth
Prif Awduron:	Toufique, S.M, Bhuiyan, Sadiq Uddin, Lateef, Ahmed, Zaman, Arman, Islam, Jubaer Bin
Awduron Eraill:	Ziaul Karim, Dewan
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2024
Pynciau:	Machine learning Flood prediction Natural calamities Deep learning
Mynediad Ar-lein:	http://hdl.handle.net/10361/22779

Eitemau Tebyg

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Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
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Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
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Application of CNN based architectures in detection of distracted drivers
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Weather forecasting using Deep Learning
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Machine learning as an indicator for breast cancer prediction
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Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
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Flood prediction using ensemble machine learning models
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Estimating flood susceptibility of Bangladesh in the future year using machine learning
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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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Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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Comparative analysis and implementation of credit risk prediction through distinct machine learning models
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A modern technique to detect potholes by Computer Vision and Deep Learning
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Real-time foul detection in football matches using machine learning techniques
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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
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Investigation assistant with suspect anticipating intelligence
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Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
gan: Amin, M.M. Shahriar, et al.
Cyhoeddwyd: (2021)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
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Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
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A deep learning approach towards soft biometrics attributes prediction using CNN
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Corn leaf disease detection using deep convolution neural network
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Forecasting stock market prices using advanced tools of machine learning
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Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
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Empowering mobile network planning through deep learning: a path to democratization
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Emotion analysis using machine learning model and deep learning model on DEAP dataset
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Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
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Heart disease prediction using machine learning algorithms
gan: Ali, Musfiq, et al.
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An interpretable transformer based approach to classify Malaria from blood cell images
gan: Islam, Mehafuza, et al.
Cyhoeddwyd: (2023)

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

A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
gan: Islam, Md Rashidul
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A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
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A counseling system to predict the study path for freshmen
gan: Usha, Rowshni Tasneem, et al.
Cyhoeddwyd: (2019)

Predicting depression in Bangladeshi undergraduates using machine learning
gan: Choudhury, Ahnaf Atef, et al.
Cyhoeddwyd: (2019)

An efficient deep learning approach to detect skin Cancer
gan: Islam, Ashfaqul, et al.
Cyhoeddwyd: (2022)

Prostate cancer detection using deep learning neural network with transfer learning approach
gan: Badhon, Ariful Islam Mahmud, et al.
Cyhoeddwyd: (2022)