Explainable artificial intelligence and model calibration for water quality prediction

Explainable artificial intelligence and model calibration for water quality prediction

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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Hellen, Nakayiza
Άλλοι συγγραφείς:	Alam, Dr. Md. Ashraful
Μορφή:	Thesis
Γλώσσα:	en_US
Έκδοση:	BRAC University 2022
Θέματα:	Explainable Artificial Intelligence (XAI) Machine Learning (ML) Ensemble Learning Water Quality Public Health Model Calibration Machine learning Water quality > Congresses.
Διαθέσιμο Online:	http://hdl.handle.net/10361/17501

Παρόμοια τεκμήρια

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Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
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Heart attack prediction using machine learning and XAI
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A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
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Chronic kidney disease detection using ensemble classi ers and feature set reduction
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Machine learning approach for improving decision support in ICU
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Application of machine learning in credit risk assessment: a prelude to smart banking
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Machine learning approach for ECG analysis and predicting different heart diseases
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Valuation of the benefits of improving drinking water quality for households in Dhaka
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Comparison of machine learning techniques to predict cardiovascular disease
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Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
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A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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Statistical analysis of network data flows and predictions using statistical and machine learning regression models
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RetinalNet-500: a newly developed CNN model for eye disease detection
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Voice impersonation detection using LSTM based RNN and explainable AI
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Predicting depression in Bangladeshi undergraduates using machine learning
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Yoga posture recognition using the deep learning process
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EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
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Sensor based water quality monitoring system
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Investigation assistant with suspect anticipating intelligence
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Machine learning as an indicator for breast cancer prediction
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