Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Nashva Ali"'
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 2, Iss , Pp 100057- (2022)
Background: Chatbots have been widely used in many spheres of life from customer services to mental health companions. Despite the breakthroughs in achieving human-like conversations, Arabic language chatbots driven by AI and NLP are relatively scarc
Externí odkaz:
https://doaj.org/article/481c7e610c72474fb025278fa9cf5121
Autor:
Arfan Ahmed, Nashva Ali, Mahmood Alzubaidi, Wajdi Zaghouani, Alaa A Abd-alrazaq, Mowafa Househ
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 2, Iss , Pp 100049- (2022)
Background: Corpora play a vital role when training machine learning (ML) models and building systems that use natural language processing (NLP). It can be challenging for researchers to access corpora in a language other than English, and even more
Externí odkaz:
https://doaj.org/article/a8a0eaee138b4fceb31845e8869d42dc
Autor:
Arfan Ahmed, Nashva Ali, Sarah Aziz, Alaa A Abd-alrazaq, Asmaa Hassan, Mohamed Khalifa, Bushra Elhusein, Maram Ahmed, Mohamed Ali Siddig Ahmed, Mowafa Househ
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 1, Iss , Pp 100012- (2021)
Background: Anxiety and depression rates are at an all-time high. Smartphone-based mental health chatbots can aid psychiatrists replacing some of the costly human based interaction providing a unique opportunity to expand the availability and quality
Externí odkaz:
https://doaj.org/article/36a086914ba544a8847fb1895490848b
Autor:
Arfan Ahmed, Nashva Ali, Anna Giannicchi, Alaa A Abd-alrazaq, Mohamed Ali Siddig Ahmed, Sarah Aziz, Mowafa Househ
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 1, Iss , Pp 100041- (2021)
Background: Over the past decade, there has been a steady increase of the number of mobile and web-based applications that enable people with mental disorders to self-regulate their mental health needs, to feel autonomous, and to take responsibility
Externí odkaz:
https://doaj.org/article/777287cfbe0545bda5d06065b4afd676
Autor:
Nashva, Ali, Alaa, Abd-Alrazaq, Zubair, Shah, Mohannad, Alajlani, Tanvir, Alam, Mowafa, Househ
Publikováno v:
Studies in health technology and informatics. 295
Children go through varied emotions such as happiness, sadness, and fear. At times, it may be difficult for children to express their emotions. Detecting and understanding the unexpressed emotions of children is very important to address their needs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bf6f974cc04eb3e69fc222db7c2e3f64
https://pubmed.ncbi.nlm.nih.gov/35773821
https://pubmed.ncbi.nlm.nih.gov/35773821
Children go through varied emotions such as happiness, sadness, and fear. At times, it may be difficult for children to express their emotions. Detecting and understanding the unexpressed emotions of children is very important to address their needs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f081c27af9f2f9141f1e89f44061c93e
https://doi.org/10.3233/shti220675
https://doi.org/10.3233/shti220675
Publikováno v:
Studies in health technology and informatics. 290
In this paper, we develop an artificial intelligence (A.I.) based Emotion Sensing Recognition App (ESRA) to help parents and teachers understand the emotions of children by analyzing their drawings. Four different experiments were conducted using a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2ab4a26759b0a0a56e182da071fdbfeb
https://pubmed.ncbi.nlm.nih.gov/35673240
https://pubmed.ncbi.nlm.nih.gov/35673240
In this paper, we develop an artificial intelligence (A.I.) based Emotion Sensing Recognition App (ESRA) to help parents and teachers understand the emotions of children by analyzing their drawings. Four different experiments were conducted using a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e5666056bc918f041bc36cf0a66428c
https://doi.org/10.3233/shti220302
https://doi.org/10.3233/shti220302
Autor:
Arfan Ahmed, Asmaa Hassan, Sarah Aziz, Alaa A Abd-alrazaq, Nashva Ali, Mahmood Alzubaidi, Dena Al-Thani, Bushra Elhusein, Mohamed Ali Siddig, Maram Ahmed, Mowafa Househ
Publikováno v:
Health Informatics Journal. 29:146045822211467
Chatbots can provide valuable support to patients in assessing and guiding management of various health problems particularly when human resources are scarce. Chatbots can be affordable and efficient on-demand virtual assistants for mental health con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::854e43a97e37e90bd81fa4ae74e82e4a
https://doi.org/10.1177/14604582221146719
https://doi.org/10.1177/14604582221146719
Autor:
Arfan Ahmed, Nashva Ali, Anna Giannicchi, Alaa A Abd-Alrazaq, Mohamed Ali Siddig Ahmed, Sarah Aziz, Mowafa Househ
BACKGROUND Background: Over the past decade, there has been a steady increase of the number of mobile and web-based applications that enable patients with mental disorders to self-regulate their mental health needs, to feel autonomous, and to take re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::486d748d4fa7e3fb456109eba25c783b
https://doi.org/10.2196/preprints.31010
https://doi.org/10.2196/preprints.31010