Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Mahoor, Mohammad H."'
Automated Facial Expression Recognition (FER) is challenging due to intra-class variations and inter-class similarities. FER can be especially difficult when facial expressions reflect a mixture of various emotions (aka compound expressions). Existin
Externí odkaz:
http://arxiv.org/abs/2410.22506
Autor:
Alsuhaibani, Muath, Fard, Ali Pourramezan, Sun, Jian, Poor, Farida Far, Pressman, Peter S., Mahoor, Mohammad H.
This review paper explores recent advances in deep learning approaches for non-invasive cognitive impairment detection. We examine various non-invasive indicators of cognitive decline, including speech and language, facial, and motoric mobility. The
Externí odkaz:
http://arxiv.org/abs/2410.19898
Suicide remains a global health concern for the field of health, which urgently needs innovative approaches for early detection and intervention. In this paper, we focus on identifying suicidal intentions in SuicideWatch Reddit posts and present a no
Externí odkaz:
http://arxiv.org/abs/2402.02262
This paper presents a deep learning method using Natural Language Processing (NLP) techniques, to distinguish between Mild Cognitive Impairment (MCI) and Normal Cognitive (NC) conditions in older adults. We propose a framework that analyzes transcrip
Externí odkaz:
http://arxiv.org/abs/2402.01690
Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia. Deep Learning (DL) algorithms could help achieve early non-invasive, low-cost detection of MCI. This paper presents the de
Externí odkaz:
http://arxiv.org/abs/2308.15624
Publikováno v:
Expert Systems with Applications, 238, 121929 (2023)
Deep machine learning models including Convolutional Neural Networks (CNN) have been successful in the detection of Mild Cognitive Impairment (MCI) using medical images, questionnaires, and videos. This paper proposes a novel Multi-branch Classifier-
Externí odkaz:
http://arxiv.org/abs/2304.05292
Generative Adversarial Networks (GANs) are capable of synthesizing high-quality facial images. Despite their success, GANs do not provide any information about the relationship between the input vectors and the generated images. Currently, facial GAN
Externí odkaz:
http://arxiv.org/abs/2302.00908
Autor:
Alhomayani, Fahad, Mahoor, Mohammad H.
Publikováno v:
Journal of Location Based Services, 14:3, 129-200
Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning impractical. Location fingerprinting, which utilizes machine learning, has emerged as a viable met
Externí odkaz:
http://arxiv.org/abs/2205.14935
Autor:
Alhomayani, Fahad, Mahoor, Mohammad H.
Publikováno v:
Sci Data 8, 66 (2021)
In recent years, fingerprint-based positioning has gained researchers attention since it is a promising alternative to the Global Navigation Satellite System and cellular network-based localization in urban areas. Despite this, the lack of publicly a
Externí odkaz:
http://arxiv.org/abs/2205.14921
Children with Autism Spectrum Disorder (ASD) experience deficits in verbal and nonverbal communication skills including motor control, turn-taking, and emotion recognition. Innovative technology, such as socially assistive robots, has shown to be a v
Externí odkaz:
http://arxiv.org/abs/2205.04251