Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Zahid Halim"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-11 (2023)
Abstract Emotion identification from text data has recently gained focus of the research community. This has multiple utilities in an assortment of domains. Many times, the original text is written in a different language and the end-user translates
Externí odkaz:
https://doaj.org/article/0b5935b05cfd4a85b38dc873d2449503
Publikováno v:
Machine Learning with Applications, Vol 14, Iss , Pp 100495- (2023)
Collaborative filtering is a widely used technique for providing personalized recommendations to users. However, traditional collaborative filtering methods fail to consider the social connections between users. The current study proposes a collabora
Externí odkaz:
https://doaj.org/article/84fe989286d341bb9ab107e1c00a1116
Autor:
Shanshan Tu, Sadaqat urRehman, Muhammad Waqas, Obaid ur Rehman, Zhongliang Yang, Basharat Ahmad, Zahid Halim, Wei Zhao
Publikováno v:
IET Computer Vision, Vol 14, Iss 5, Pp 259-267 (2020)
Training of the convolution neural network (CNN) is a problem of global optimisation. This study proposed a hybrid modified particle swarm optimisation (MPSO) and conjugate gradient (CG) algorithm for efficient training of CNN. The training involves
Externí odkaz:
https://doaj.org/article/db6735c015934501b2b9289337d46305
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 8, Iss 6 (2015)
With computers becoming ubiquitous and high resolution graphics reaching the next level, computer games have become a major source of entertainment. It has been a tedious task for game developers to measure the entertainment value of the computer gam
Externí odkaz:
https://doaj.org/article/7f75fa30aff548a6b2718359a939a23c
Publikováno v:
Information Sciences. 626:694-709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::406088c5f20c80977f69af95b74e3631
https://doi.org/10.1016/j.ins.2023.01.004
https://doi.org/10.1016/j.ins.2023.01.004
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:4461-4476
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea095af5a842ab059e1c0341d1a14d6c
https://doi.org/10.1007/s12652-023-04563-3
https://doi.org/10.1007/s12652-023-04563-3
Publikováno v:
IEEE Transactions on Vehicular Technology. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce5a9c3ae8fa4b5e5a41467033011b5b
https://doi.org/10.1109/tvt.2023.3268135
https://doi.org/10.1109/tvt.2023.3268135
Publikováno v:
Scientometrics. 128:1513-1545
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5579621acc45ca276e8d14e58bc35506
https://doi.org/10.1007/s11192-022-04627-9
https://doi.org/10.1007/s11192-022-04627-9
Autor:
Ehsan Elahi, Zahid Halim
Publikováno v:
Knowledge and Information Systems. 64:2457-2480
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d139a2f54bd220a1020c833ba4f05251
https://doi.org/10.1007/s10115-022-01709-1
https://doi.org/10.1007/s10115-022-01709-1
Autor:
Nadia Ali, Abdallah Tubaishat, Feras Al-Obeidat, Mohammad Shabaz, Muhammad Waqas, Zahid Halim, Imad Rida, Sajid Anwar
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing.
Emotion identification from text has recently gained attention due to its versatile ability to analyze human-machine interaction. This work focuses on detecting emotions from textual data. Languages, like English, Chinese, and German are widely used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99552b1bd9b33a997a8b4849937665d3
https://doi.org/10.1145/3592794
https://doi.org/10.1145/3592794