Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ghufran Ahmad Khan"'
Autor:
Mohammad Ahmar Khan, Ghufran Ahmad Khan, Jalaluddin Khan, Taushif Anwar, Zubair Ashraf, Ibrahim A. Atoum, Naved Ahmad, Mohammad Shahid, Mohammad Ishrat, Abdulrahman Abdullah Alghamdi
Publikováno v:
IEEE Access, Vol 11, Pp 60681-60692 (2023)
Ongoing researches on multiple view data are showing competitive behavior in the machine learning field. Multi-view clustering has gained widespread acceptance for managing multi-view data and improves clustering efficiency. Large dimensionality in d
Externí odkaz:
https://doaj.org/article/cb6d797aad32487c8b4d10d9927eead6
Autor:
Mohammad Ahmar Khan, Ghufran Ahmad Khan, Jalaluddin Khan, Mohammad Rafeek Khan, Ibrahim Atoum, Naved Ahmad, Mohammad Shahid, Mohammad Ishrat, Abdulrahman Abdullah Alghamdi
Publikováno v:
IEEE Access, Vol 10, Pp 113249-113259 (2022)
Clustering of multi-view data has got broad consideration of the researchers. Multi-view data is composed through different domain which shows the consistent and complementary behavior. The existing studies did not draw attention of over-fitting and
Externí odkaz:
https://doaj.org/article/bcbb64b40d054dcc9811d93a7e536f0a
Autor:
Amin Ul Haq, Jian Ping Li, Abdus Saboor, Jalaluddin Khan, Samad Wali, Sultan Ahmad, Amjad Ali, Ghufran Ahmad Khan, Wang Zhou
Publikováno v:
IEEE Access, Vol 9, Pp 22090-22105 (2021)
Breast cancer is one the most critical disease and suffered many people around the world. The efficient and correct detection of breast cancer is still needed to ensure this medical issue although the researchers around the world are proposed differe
Externí odkaz:
https://doaj.org/article/177e63e8aece4e1283b086241bb281b4
Autor:
Jalaluddin Khan, Jian Ping Li, Bilal Ahamad, Shadma Parveen, Amin Ul Haq, Ghufran Ahmad Khan, Arun Kumar Sangaiah
Publikováno v:
IEEE Access, Vol 8, Pp 15747-15767 (2020)
The Internet of Things is made of diverse networked things (i.e., smart, intelligent devices) that are consistently interconnected, producing meaningful data across the network without human interaction. Nowadays, the Healthcare system is widely inte
Externí odkaz:
https://doaj.org/article/516daf92d6ee425ab6b8a6859adafb7b
Autor:
Amin Ul Haq, Jian Ping Li, Jalaluddin Khan, Muhammad Hammad Memon, Shah Nazir, Sultan Ahmad, Ghufran Ahmad Khan, Amjad Ali
Publikováno v:
Sensors, Vol 20, Iss 9, p 2649 (2020)
Significant attention has been paid to the accurate detection of diabetes. It is a big challenge for the research community to develop a diagnosis system to detect diabetes in a successful way in the e-healthcare environment. Machine learning techniq
Externí odkaz:
https://doaj.org/article/5d55e9ee825c42d58c34bbd35880c694
Autor:
Amin Ul Haq, Jian Ping Li, Ghufran Ahmad Khan, Jalaluddin Khan, Mohammad Ishrat, Abhishek Guru, Bless Lord Y. Agbley
Publikováno v:
2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6753e19362157a9a19d9b7c9ec2b58b1
https://doi.org/10.1109/iccwamtip56608.2022.10016496
https://doi.org/10.1109/iccwamtip56608.2022.10016496
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:233-253
During the past years, multi-view clustering algorithms have demonstrated satisfactory clustering results by fusing the multiple views of the dataset. Nowadays, the researches of dimensionality reduction and learning discriminative features from mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1d9c856102ce0a7e1572675905c642b
https://doi.org/10.1007/s13042-021-01394-6
https://doi.org/10.1007/s13042-021-01394-6
Publikováno v:
Neurocomputing. 433:96-107
Clustering large and high-dimensional document data has got a great interest. However, current clustering algorithms lack efficient representation learning. Implementing deep learning techniques in document clustering can strengthen the learning proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dd5cc9117991239236d6890c3c79d35
https://doi.org/10.1016/j.neucom.2020.12.094
https://doi.org/10.1016/j.neucom.2020.12.094
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:663-675
Numerous works implemented multi-view clustering algorithms in document clustering. A challenging problem in document clustering is the similarity metric. Existing multi-view document clustering methods broadly utilized two measurements: the Cosine s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367e07892829d863317e5cb07bb4614e
https://doi.org/10.1007/s13042-021-01295-8
https://doi.org/10.1007/s13042-021-01295-8
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:677-689
Nowadays, non-negative matrix factorization (NMF) based cluster analysis for multi-view data shows impressive behavior in machine learning. Usually, multi-view data have complementary information from various views. The main concern behind the NMF is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c285b9b836bfc6aaa45676b6a369f382
https://doi.org/10.1007/s13042-021-01307-7
https://doi.org/10.1007/s13042-021-01307-7