Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare

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

Manylion Llyfryddiaeth
Prif Awdur:	Marvin, Ggaliwango
Awduron Eraill:	Rahman, Md. Mahbubur
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2022
Pynciau:	Explainable Artificial Intelligence (XAI) Quantum Lattice Learning (QLL) Machine Learning (ML) Maternal and Child Health (MCH) Predictive Preventive and Precision Medicine (PPPM) Patient monitoring and management Artificial intelligence Machine learning
Mynediad Ar-lein:	http://hdl.handle.net/10361/16665

Eitemau Tebyg

Explainable artificial intelligence and model calibration for water quality prediction
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Bank loan prediction using machine learning
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Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
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Machine learning approach for improving decision support in ICU
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Alumni opportunities using machine learning
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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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Multimodal human detection in disaster situations using deep learning & artificial intelligence
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Investigation assistant with suspect anticipating intelligence
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Personalization in federated recommendation system using SVD++ with explainability
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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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Application of machine learning in credit risk assessment: a prelude to smart banking
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Real time performance analysis on DDoS attack detection using machine learning
gan: Suvra, Debashis Kar, et al.
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Implementation of diffusion model in realistic face generation
gan: Rahman, Abidur, et al.
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Start up business solution using machine learning
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Cyhoeddwyd: (2018)

A review on the role of artificial intelligence in healthcare transformation
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NLP-based AI robot for intelligent interaction
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XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
gan: Rahman, Anika
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Impact of machine learning and deep learning on biomedical applications and healthcare industry
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Yoga posture recognition using the deep learning process
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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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Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
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Machine learning approach for ECG analysis and predicting different heart diseases
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PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
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Mobile sensors based human activity recognition using machine learning with explainable ML
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Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
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Voice impersonation detection using LSTM based RNN and explainable AI
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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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RED-LSTM: Real time emotion detection using LSTM
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A machine learning approach to credit default prediction and Individual credit scoring
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Comparison of machine learning techniques to predict cardiovascular disease
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A deep learning approach for prediction of ADHD using brain structure
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Predicting obesity: a comparative analysis of machine learning models incorporating different features
gan: Rahman, Md.Sakibur, et al.
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Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
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Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
gan: Sharma, Tanmoyee, et al.
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Detecting propagandistic poster title: a machine learning approach
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Comparative analysis of machine learning models for stock price analysis across different dataset sizes
gan: Srabon, Abir Alam, et al.
Cyhoeddwyd: (2023)