An artificial intelligence based approach towards inclusive healthcare provisioning in society 5.0: a perspective on brain disorder

S Al Mamun, MS Kaiser, M Mahmud - International Conference on Brain …, 2021 - Springer
Face detection and sparse facial feature analysis is popular as a non-invasive approach to
diagnosis special disease. In futuristic intelligent healthcare system, the confined way of …

Covid-19 detection using chest x-ray images with a regnet structured deep learning model

MK Mahbub, M Biswas, AM Miah, A Shahabaz… - Applied Intelligence and …, 2021 - Springer
AI-based medical image processing has made significant progress, and it has a significant
impact on biomedical research. Among the imaging variants, Chest x-rays imaging is cheap …

Innovative technologies for occupational health and safety: a scoping review

O Flor-Unda, M Fuentes, D Dávila, M Rivera, G Llano… - Safety, 2023 - mdpi.com
Technological advancements have allowed for the design and development of multiple
intelligent devices that monitor the health and safety status of workers in the industry in …

Advanced mobile communication techniques in the fight against the COVID-19 pandemic era and beyond: An overview of 5G/B5G/6G

CF Lin, SH Chang - Sensors, 2023 - mdpi.com
The coronavirus disease 2019 (COVID-19) pandemic has severely affected people's lives
worldwide in an unexpected manner. According to the World Health Organization (WHO) …

An investigative study on the effects of pedagogical agents on intrinsic, extraneous and germane cognitive load: experimental findings with dyscalculia and non …

NJ Ahuja, M Thapliyal, A Bisht, T Stephan… - IEEE …, 2021 - ieeexplore.ieee.org
Several studies have warranted the need to explore the relationship between pedagogical
agents in the learning environment and the cognitive load on the learners, specifically, to …

SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals

M Fabietti, M Mahmud, A Lotfi, MS Kaiser, A Averna… - Brain Informatics, 2021 - Springer
Neuronal signals generally represent activation of the neuronal networks and give insights
into brain functionalities. They are considered as fingerprints of actions and their processing …

Classification of first trimester ultrasound images using deep convolutional neural network

R Singh, M Mahmud, L Yovera - … , AII 2021, Nottingham, UK, July 30–31 …, 2021 - Springer
Fetal ultrasound imaging is commonly used in correctly identifying fetal anatomical
structures. This is particularly important in the first-trimester to diagnose any possible fetal …

Violent video event detection: a local optimal oriented pattern based approach

BH Lohithashva, VNM Aradhya - … , AII 2021, Nottingham, UK, July 30–31 …, 2021 - Springer
Video/Camera-based monitoring is a prominent and difficult research problem in the field of
machine learning and pattern recognition and posed much interest in our safety in the …

COVIDSensing: social sensing strategy for the management of the COVID-19 crisis

A Sepúlveda, C Periñán-Pascual, A Muñoz… - Electronics, 2021 - mdpi.com
The management of the COVID-19 pandemic has been shown to be critical for reducing its
dramatic effects. Social sensing can analyse user-contributed data posted daily in social …

Is biological rhythm associated with the mortality of COVID-19?

E Allahyari, SJ Emadi Chashmi, M Mahmud… - Rhythms in …, 2022 - Springer
The high mortality rate of COVID-19 has led to extensive research to determine the factors
related to this disease. Most of these studies investigated all patients (with or without …