[HTML][HTML] A review of deep learning in dentistry
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education
Artificial neural networks (ANNs) have proven to be among the most important artificial
intelligence (AI) techniques in educational applications, providing adaptive educational …
intelligence (AI) techniques in educational applications, providing adaptive educational …
[HTML][HTML] Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer's disease using electroencephalogram
JC Sekhar, C Rajyalakshmi, S Nagaraj… - Journal of King Saud …, 2023 - Elsevier
Alzheimer's disease (AD) is a neurological disorder characterized by cognitive decline and
memory loss. An early and precise diagnosis of Alzheimer's disease is critical for effective …
memory loss. An early and precise diagnosis of Alzheimer's disease is critical for effective …
Graph Learning and Deep Neural Network Ensemble for Supporting Cognitive Decline Assessment
Cognitive decline represents a significant public health concern due to its severe
implications on memory and general health. Early detection is crucial to initiate timely …
implications on memory and general health. Early detection is crucial to initiate timely …
Alzheimer's detection by Artificial Bee Colony and Convolutional Neural Network at Mobile Environment
D Shan, F Shi, T Le - Mobile Networks and Applications, 2024 - Springer
Alzheimer's disease (AD) presents a significant challenge in healthcare, particularly in its
early detection. In this paper, we will introduce an innovative methodology that leverages the …
early detection. In this paper, we will introduce an innovative methodology that leverages the …
Automated classification of Alzheimer's disease based on deep belief neural networks
When it comes to the causes of dementia, Alzheimer's disease is the most mysterious. There
is no central genetic component connected to Alzheimer's disease. Previous approaches …
is no central genetic component connected to Alzheimer's disease. Previous approaches …
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans
This study presents an innovative method for Alzheimer's disease diagnosis using 3D MRI
designed to enhance the explainability of model decisions. Our approach adopts a soft …
designed to enhance the explainability of model decisions. Our approach adopts a soft …
[PDF][PDF] Advancing the Frontier: Neuroimaging Techniques in the Early Detection and Management of Neurodegenerative Diseases
AS Akram, H Grezenko, P Singh, M Ahmed, BD Hassan… - Cureus, 2024 - cureus.com
Alzheimer's and Parkinson's diseases are among the most prevalent neurodegenerative
conditions affecting aging populations globally, presenting significant challenges in early …
conditions affecting aging populations globally, presenting significant challenges in early …
The E-learning for Alzheimer's Disease
M Zhao - EAI Endorsed Transactions on e-Learning, 2023 - publications.eai.eu
With the increase of the aging population, the incidence rate of Alzheimer's disease (AD) is
also rising. Faced with this challenge, e-learning, as an innovative educational method, has …
also rising. Faced with this challenge, e-learning, as an innovative educational method, has …
Graph Convolutional Networks For Disease Mapping and Classification in Healthcare
In the context of healthcare, this study investigates the use of Graph A convolutional
Networks (GCNs) for disease mapping along with classification. Based on an interpretivist …
Networks (GCNs) for disease mapping along with classification. Based on an interpretivist …