Shaibal Barua

发表

Intelligent Driver Mental State Monitoring System Using Physiological Sensor Signals

Shaibal Barua, Shaibal Barua, 2015 .

Classification of Ocular Artifacts in EEG Signals Using Hierarchical Clustering and Case-based Reasoning

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2014 .

A Machine Learning Approach for Biomass Characterization

Mobyen Uddin Ahmed, Elena Tomas Aparicio, Shaibal Barua, 2019, Energy Procedia.

A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks

Mobyen Uddin Ahmed, S. Begum, Shaibal Barua, 2022, Applied Sciences.

Real-time Biomass Characterization in Energy Conversion Processes using Near Infrared Spectroscopy : A Machine Learning Approach

Mobyen Uddin Ahmed, Elena Tomas Aparicio, Shaibal Barua, 2019 .

A Novel Mutual Information Based Feature Set for Drivers’ Mental Workload Evaluation Using Machine Learning

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2020, Brain sciences.

Deep Learning for Automatic EEG Feature Extraction: An Application in Drivers' Mental Workload Classification

Gianluca Di Flumeri, Mobyen Uddin Ahmed, Shaibal Barua, 2019, H-WORKLOAD.

Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera

Hamidur Rahman, Shaibal Barua, Shahina Begum, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

A Randomized Clinical Trial on the Need of Continuing Oxytocin Infusion in Active Phase of Induced Labour

Shaibal Barua, S. Nahar, R. Begum, 2013 .

A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory

Mobyen Uddin Ahmed, G. Borghini, F. Babiloni, 2022, Applied Sciences.

Automatic driver sleepiness detection using EEG, EOG and contextual information

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2019, Expert Syst. Appl..

Knowledge and Practice of Contraceptive Among Lactating Mothers Attending at Radda Maternal and Child Health and Family Planning Centre at Mirpur, Dhaka

Shaibal Barua, Mohammad Taslim Uddin, 2019, Chattagram Maa-O-Shishu Hospital Medical College Journal.

Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—An Overview

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2020, Intelligent Systems Reference Library.

Physiological Sensor Signals Classification for Healthcare Using Sensor Data Fusion and Case-Based Reasoning

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2014, Sensors.

Multi-sensor Information Fusion for Classification of Driver's Physiological Sensor Data

Shaibal Barua, Shaibal Barua, 2013 .

Supervised Machine Learning Algorithms to Diagnose Stress for Vehicle Drivers Based on Physiological Sensor Signals

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2015, pHealth.

Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2020, Brain sciences.

Non-contact-based driver's cognitive load classification using physiological and vehicular parameters

Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, 2020, Biomed. Signal Process. Control..

Machine Learning Models for Industrial Applications

Shaibal Barua, Tomas Olsson, Enislay Ramentol, 2021, AI and Learning Systems - Industrial Applications and Future Directions.

Automated EEG Artifact Handling With Application in Driver Monitoring

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2018, IEEE Journal of Biomedical and Health Informatics.

Vehicle driver monitoring : sleepiness and cognitive load

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2017 .

Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2020, Intelligent Systems Reference Library.

Multivariate Data Analytics to Identify Driver's Sleepiness, Cognitive load, and Stress

Shaibal Barua, Shaibal Barua, 2019 .

Driver's State Monitoring: A Case Study on Big Data Analytics

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2016, HealthyIoT.

AUTOMATED EEG ARTIFACTS HANDLING FOR DRIVER SLEEPINESS MONITORING

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2016 .

Hypothyroid Disease Diagnosis with Causal Explanation using Case-based Reasoning and Domain-specific Ontology

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2019, ICCBR Workshops.

EEG sensor based classification for assessing psychological stress.

Shaibal Barua, Shahina Begum, Shaibal Barua, 2013, Studies in health technology and informatics.

Intelligent Automated EEG Artifacts Handling Using Wavelet Transform, Independent Component Analysis and Hierarchal Clustering

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2016, MobiHealth.

Data analytics using statistical methods and machine learning: a case study of power transfer units

Sharmin Sultana Sheuly, Shaibal Barua, E. Güclü, 2021, The International Journal of Advanced Manufacturing Technology.

Clustering based Approach for Automated EEG Artifacts Handling

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2015, SCAI.

In-Vehicle Stress Monitoring Based on EEG Signal

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2017 .

Classification of physiological signals for wheel loader operators using Multi-scale Entropy analysis and case-based reasoning

Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, 2014, Expert Syst. Appl..