A review of deep transfer learning approaches for class-wise prediction of Alzheimer's disease using MRI images

PS Sisodia, GK Ameta, Y Kumar, N Chaplot - Archives of Computational …, 2023 - Springer
Alzheimer's disease is an irreversible, progressive neurodegenerative disorder that destroys
the brain and memory functionalities. In Alzheimer's disease, the brain starts shrinking, and …

A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of genetic disorders using various gene disorders

N Chaplot, D Pandey, Y Kumar, PS Sisodia - Archives of Computational …, 2023 - Springer
A medical analysis of diagnosing rare genetic diseases has rapidly become the most
expensive and time-consuming component for doctors. By combining predictive methods …

Alzheimer's disease diagnosis using machine learning: a survey

OA Dara, JM Lopez-Guede, HI Raheem, J Rahebi… - Applied Sciences, 2023 - mdpi.com
Alzheimer's is a neurodegenerative disorder affecting the central nervous system and
cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition …

Deep learning and image processing-based early detection of Alzheimer disease in cognitively normal individuals

P Borkar, VA Wankhede, DT Mane, S Limkar… - Soft Computing, 2023 - Springer
Alzheimer's patients typically suffer from a decline in cognitive abilities, which makes it
difficult for them to carry out the activities of daily living. At this time, it is unknown whether or …

Poly (allylamine) coated layer-by-layer assembly decorated 2D carbon backbone for highly sensitive and selective detection of Tau-441 using surface plasmon …

S Nangare, P Patil - Analytica Chimica Acta, 2023 - Elsevier
The determination of clinically significant amounts of tau protein in bodily fluids is a major
problem in Alzheimer's disease (AD) diagnosis. As a result, the present work aims to …

Impact and research challenges of penetrating testing and vulnerability assessment on network threat

A Fatima, TA Khan, TM Abdellatif… - … for Technology and …, 2023 - ieeexplore.ieee.org
The primary goal of this research article is to identify prevalent network dangers and provide
countermeasures to these threats. In this modern era, everyone has access to the internet …

AI-Based Intelligent Model to Predict Epidemics Using Machine Learning Technique.

L Ali, SEA Alnawayseh, M Salahat… - … Automation & Soft …, 2023 - search.ebscohost.com
The immediate international spread of severe acute respiratory syndrome revealed the
potential threat of infectious diseases in a closely integrated and interdependent world …

[PDF][PDF] Early detection of autism in children using transfer learning

TM Ghazal, S Munir, S Abbas, A Athar… - … Automation & Soft …, 2023 - researchgate.net
Autism spectrum disorder (ASD) is a challenging and complex neurodevelopment syndrome
that affects the child's language, speech, social skills, communication skills, and logical …

The effect of artificial intelligence on cybersecurity

A Ali, MA Khan, K Farid, SS Akbar… - … for Technology and …, 2023 - ieeexplore.ieee.org
Cyber-attacks present a greater threat to individuals and the security of the modern state in
the globalized world. Artificial intelligence offers several tools that can be used to improve …

[PDF][PDF] IoMT-based smart healthcare of elderly people using deep extreme learning machine

M Jarrah, H Al Hamadi, A Abu-Khadrah… - … , Materials & Continua, 2023 - cdn.techscience.cn
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …