Explainable artificial intelligence in Alzheimer's disease classification: A systematic review

V Viswan, N Shaffi, M Mahmud, K Subramanian… - Cognitive …, 2024 - Springer
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey

S Zaman, K Alhazmi, MA Aseeri, MR Ahmed… - Ieee …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …

Artificial intelligence and internet of things in screening and management of autism spectrum disorder

T Ghosh, MH Al Banna, MS Rahman, MS Kaiser… - Sustainable Cities and …, 2021 - Elsevier
Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …

An XAI based autism detection: the context behind the detection

M Biswas, MS Kaiser, M Mahmud, S Al Mamun… - … Conference on Brain …, 2021 - Springer
With the rapid growth of the Internet of Healthcare Things, a massive amount of data is
generated by a broad variety of medical devices. Because of the complex relationship in …

[HTML][HTML] A study of fall detection in assisted living: Identifying and improving the optimal machine learning method

N Thakur, CY Han - Journal of sensor and actuator networks, 2021 - mdpi.com
This paper makes four scientific contributions to the field of fall detection in the elderly to
contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive …

Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder

M Mahmud, MS Kaiser, MA Rahman… - … Conference on Human …, 2022 - Springer
Abstract Autism Spectrum Disorder (ASD) is a growing concern worldwide. To date there are
no drugs that can treat ASD, hence the treatments that can be administered are mainly …

A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques

SK Gharghan, HA Hashim - Measurement, 2024 - Elsevier
Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

Attention-based bi-directional long-short term memory network for earthquake prediction

MH Al Banna, T Ghosh, MJ Al Nahian, KA Taher… - IEEE …, 2021 - ieeexplore.ieee.org
An earthquake is a tremor felt on the surface of the earth created by the movement of the
major pieces of its outer shell. Till now, many attempts have been made to forecast …

A hybrid deep learning model to predict the impact of COVID-19 on mental health from social media big data

MH Al Banna, T Ghosh, MJ Al Nahian, MS Kaiser… - IEEE …, 2023 - ieeexplore.ieee.org
The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent
consequence on mental health because of less interaction among people, economic …

A review of wearable sensors based fall-related recognition systems

J Liu, X Li, S Huang, R Chao, Z Cao, S Wang… - … Applications of Artificial …, 2023 - Elsevier
Falls are an important factor in significantly deteriorating quality of life of older adults,
consequently leading to both physical and psychological harm. A wearable-based fall …