Deep learning in mining biological data

M Mahmud, MS Kaiser, TM McGinnity, A Hussain - Cognitive computation, 2021 - Springer
Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …

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 …

[Retracted] Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms

FW Alsaade, MS Alzahrani - Computational Intelligence and …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …

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 …

Detection of autism spectrum disorder in children using machine learning techniques

K Vakadkar, D Purkayastha, D Krishnan - SN computer science, 2021 - Springer
Abstract Autism Spectrum Disorder (ASD) is a neurological disorder which might have a
lifelong impact on the language learning, speech, cognitive, and social skills of an …

Four-way classification of Alzheimer's disease using deep Siamese convolutional neural network with triplet-loss function

F Hajamohideen, N Shaffi, M Mahmud, K Subramanian… - Brain Informatics, 2023 - Springer
Alzheimer's disease (AD) is a neurodegenerative disease that causes irreversible damage
to several brain regions, including the hippocampus causing impairment in cognition …

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 …

iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings

MS Kaiser, M Mahmud, MBT Noor, NZ Zenia… - Ieee …, 2021 - ieeexplore.ieee.org
The recent outbreak of the novel Coronavirus Disease (COVID-19) has given rise to diverse
health issues due to its high transmission rate and limited treatment options. Almost the …

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 …

Artificial intelligence evaluation of COVID-19 restrictions and speech therapy effects on the autistic children's behavior

F Sabzevari, O Amelirad, Z Moradi, M Habibi - Scientific Reports, 2023 - nature.com
In the present study, we aimed to quantify the effects of COVID-19 restrictions and speech
treatment approaches during lockdowns on autistic children using CBCL and neuro-fuzzy …