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.

Bibliografiska uppgifter
Huvudupphovsman:	Marvin, Ggaliwango
Övriga upphovsmän:	Rahman, Md. Mahbubur
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	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
Länkar:	http://hdl.handle.net/10361/16665

Liknande verk

Explainable artificial intelligence and model calibration for water quality prediction
av: Hellen, Nakayiza
Publicerad: (2022)

Bank loan prediction using machine learning
av: Mahottam, Parthosarothi, et al.
Publicerad: (2023)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
av: Rahman, Masroor, et al.
Publicerad: (2023)

Predicting climate induced floods using machine learning
av: Saleh, Chowdhury Nafis, et al.
Publicerad: (2022)

Machine learning approach for improving decision support in ICU
av: Siddiquee, Mohib Billah, et al.
Publicerad: (2019)

Alumni opportunities using machine learning
av: Siaum, Arshif Sharlimin, et al.
Publicerad: (2019)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
av: Shakil, Mahmudul Hasan
Publicerad: (2023)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
av: Rafat, Md. Tasbi, et al.
Publicerad: (2023)

Investigation assistant with suspect anticipating intelligence
av: Abdullah, Saqueeb, et al.
Publicerad: (2019)

Personalization in federated recommendation system using SVD++ with explainability
av: Patwary, Kabbya Kantam, et al.
Publicerad: (2022)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
av: Khan, Labib Hasan, et al.
Publicerad: (2023)

Heart attack prediction using machine learning and XAI
av: Ahsan, Mumtahina
Publicerad: (2023)

Application of machine learning in credit risk assessment: a prelude to smart banking
av: Dhruba, Mir Ishrak Maheer, et al.
Publicerad: (2019)

Real time performance analysis on DDoS attack detection using machine learning
av: Suvra, Debashis Kar, et al.
Publicerad: (2021)

Implementation of diffusion model in realistic face generation
av: Rahman, Abidur, et al.
Publicerad: (2024)

Start up business solution using machine learning
av: Sohan, Saad Ahmed, et al.
Publicerad: (2018)

A review on the role of artificial intelligence in healthcare transformation
av: Brishti, Iffat Ara
Publicerad: (2024)

NLP-based AI robot for intelligent interaction
av: Dastagir, Golam, et al.
Publicerad: (2024)

XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
av: Rahman, Anika
Publicerad: (2024)

Impact of machine learning and deep learning on biomedical applications and healthcare industry
av: Kabir, Md Saif, et al.
Publicerad: (2024)

Yoga posture recognition using the deep learning process
av: Islam, Abidul, et al.
Publicerad: (2023)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
av: Radiah, Faiza, et al.
Publicerad: (2024)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
av: Mubin, Kazi Ehsanul, et al.
Publicerad: (2022)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
av: Ifty, Md. Hasin Sarwar, et al.
Publicerad: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
av: Ferdous, Md.Rubaiat, et al.
Publicerad: (2024)

Machine learning approach for ECG analysis and predicting different heart diseases
av: Tithi, Sushmita Roy, et al.
Publicerad: (2019)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
av: Rahman, Tahsinur, et al.
Publicerad: (2023)

Mobile sensors based human activity recognition using machine learning with explainable ML
av: Rahman, Raihan, et al.
Publicerad: (2021)

Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
av: Zahir, Shafkat, et al.
Publicerad: (2023)

Voice impersonation detection using LSTM based RNN and explainable AI
av: Barua, Kawshik, et al.
Publicerad: (2022)

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
av: Jahan, Asif
Publicerad: (2024)

RED-LSTM: Real time emotion detection using LSTM
av: Labiba, Mansura Rahman, et al.
Publicerad: (2023)

A machine learning approach to credit default prediction and Individual credit scoring
av: Rahman, Md. Jaber, et al.
Publicerad: (2018)

Comparison of machine learning techniques to predict cardiovascular disease
av: Jaber, Mir Mohammad, et al.
Publicerad: (2019)

A deep learning approach for prediction of ADHD using brain structure
av: Siam, Shafin Ahad, et al.
Publicerad: (2024)

Predicting obesity: a comparative analysis of machine learning models incorporating different features
av: Rahman, Md.Sakibur, et al.
Publicerad: (2023)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
av: Ahmed, Md. Sabbir, et al.
Publicerad: (2021)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
av: Sharma, Tanmoyee, et al.
Publicerad: (2021)

Detecting propagandistic poster title: a machine learning approach
av: Mahmood, Riaz, et al.
Publicerad: (2024)

Comparative analysis of machine learning models for stock price analysis across different dataset sizes
av: Srabon, Abir Alam, et al.
Publicerad: (2023)