Rethinking graph transformers with spectral attention
In recent years, the Transformer architecture has proven to be very successful in sequence
processing, but its application to other data structures, such as graphs, has remained limited …
processing, but its application to other data structures, such as graphs, has remained limited …
Stacked deep dense neural network model to predict alzheimer's dementia using audio transcript data
Alzheimer's disease (AD) is caused by cortical degeneration leading to memory loss and
dementia. A possible criterion for the early identification of Alzheimer's dementia is to identify …
dementia. A possible criterion for the early identification of Alzheimer's dementia is to identify …
A hybrid deep learning model using grid search and cross-validation for effective classification and prediction of suicidal ideation from social network data
Suicide deaths due to depression and mental stress are growing rapidly at an alarming rate.
People freely express their feelings and emotions on social network sites while they feel …
People freely express their feelings and emotions on social network sites while they feel …
[Retracted] Convolutional Neural Network Face Recognition Method Using Fisher's Criterion
W Wang, F Wu - Mobile Information Systems, 2022 - Wiley Online Library
In order to further improve the ability of automatic feature extraction of deep learning
technology and better solve the problem of system recognition ability declining when the …
technology and better solve the problem of system recognition ability declining when the …
[图书][B] Guidage et planification réactive de trajectoire d'un drone monoculaire contrôlé par intelligence artificielle
A Duperré - 2020 - search.proquest.com
Le problème de guidage autonome est un domaine de recherche en constante évolution. La
popularisation des drones a étendu ce domaine de recherche au cours des dernières …
popularisation des drones a étendu ce domaine de recherche au cours des dernières …
Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration
Current research in convolutional neural networks (CNN) focuses mainly on changing the
architecture of the networks, optimizing the hyper-parameters and improving the gradient …
architecture of the networks, optimizing the hyper-parameters and improving the gradient …
[图书][B] Perchage automatique de drones basé sur la vision artificielle
L Greffier - 2019 - search.proquest.com
L'utilisation de l'intelligence artificielle et de la vision se développe considérablement dans
l'industrie des drones, notamment pour la saisie ou le dépôt d'objets ou encore pour …
l'industrie des drones, notamment pour la saisie ou le dépôt d'objets ou encore pour …