Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Akshi Kumar"'
Publikováno v:
IEEE Access, Vol 12, Pp 149861-149874 (2024)
To maintain overall health and well-being, it is crucial to manage mental stress. This study focuses on developing a deep learning model for recognizing mental stress levels using the sensors of smartwatches. Most related research with notable perfor
Externí odkaz:
https://doaj.org/article/03e623a6fd8641f2a0300a8c786c0259
Publikováno v:
IEEE Access, Vol 8, Pp 26172-26189 (2020)
Deciphering user purchase preferences, their likes and dislikes is a very tricky task even for humans, making its automation a very complex job. This research work augments heuristic-driven user interest profiling with reviewer credibility analysis a
Externí odkaz:
https://doaj.org/article/5dfe33a8f54042b5afd1d71b199bc56f
Publikováno v:
IEEE Access, Vol 7, Pp 18480-18489 (2019)
The term web-app defines the current dynamic pragmatics of the website, where the user has control. Finding faults in such dynamic content is challenging, as to whether the fault is exposed or not depends on its execution path. Moreover, the complexi
Externí odkaz:
https://doaj.org/article/3247f9f9caa14ef7b711f552ca72769c
Autor:
Le Hoang Son, Akshi Kumar, Saurabh Raj Sangwan, Anshika Arora, Anand Nayyar, Mohamed Abdel-Basset
Publikováno v:
IEEE Access, Vol 7, Pp 23319-23328 (2019)
A large community of research has been developed in recent years to analyze social media and social networks, with the aim of understanding, discovering insights, and exploiting the available information. The focus has shifted from conventional polar
Externí odkaz:
https://doaj.org/article/255b5bd2633b4b73bd3e25f1aa38511d
Publikováno v:
Sensors, Vol 22, Iss 15, p 5566 (2022)
Medical audio classification for lung abnormality diagnosis is a challenging problem owing to comparatively unstructured audio signals present in the respiratory sound clips. To tackle such challenges, we propose an ensemble model by incorporating di
Externí odkaz:
https://doaj.org/article/8cb0685f24aa43989257a22016df426a
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-26
The Asian social networks are dominated by the society’s collectivist culture, and this interestingly introduces an influence mechanism aided by word-of-mouth and opinion leaders. An opinion leader can help to generate and shape other people’s op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44000abf14bc5eab5de7ce1be8791ce7
https://doi.org/10.1145/3555311
https://doi.org/10.1145/3555311
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-20
The Asian social networking market dominates the world landscape with the highest consumer penetration rate. Businesses and investors often look for winning strategies to attract consumers to increase revenues from sales, advertisements, and other se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de84f005c859f00d6cafc7b602da6a56
https://doi.org/10.1145/3571584
https://doi.org/10.1145/3571584
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-20
Automated sarcasm detection is deemed as a complex natural language processing task and extending it to a morphologically-rich and free-order dominant indigenous Indian language Hindi is another challenge in itself. The scarcity of resources and tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::945873c034668ec5ffd95d7fe1cd203a
https://doi.org/10.1145/3519299
https://doi.org/10.1145/3519299
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-22
In today's intelligent age, the vigorous development of education-based information analysis technology has had a profound impact on the education and teaching process. The use of computational linguistics technology to extract teaching data for lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f64cd0771f736a91cc8d885010c3df65
https://doi.org/10.1145/3474367
https://doi.org/10.1145/3474367
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:703-711
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2efe3aae77adb55fb21803fa4c76a44
https://doi.org/10.1109/tii.2022.3203059
https://doi.org/10.1109/tii.2022.3203059