Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Umer Majeed"'
Autor:
Asif Amin, Aabid Mustafa Koul, Umer Majeed Wani, Faizah Farooq, Basit Amin, Zubair Wani, Asif Lone, Ayub Qadri, Raies A. Qadri
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-18 (2023)
Abstract Background Tumor cell-monocyte interactions play crucial roles in shaping up the pro-tumorigenic phenotype and functional output of tumor-associated macrophages. Within the tumor microenvironment, such heterotypic cell–cell interactions ar
Externí odkaz:
https://doaj.org/article/b9a0bccdb57e4c4aac310563da65fd84
Publikováno v:
IEEE Access, Vol 11, Pp 4381-4399 (2023)
Federated learning (FL) is an on-device distributed learning scheme that does not require training devices to transfer their data to a centralized facility. The goal of federated learning is to learn a global model over several iterations. It is chal
Externí odkaz:
https://doaj.org/article/cae05d923b064bc38be070c6ea108dc4
Autor:
Umer Majeed Wani, Zubair Ahmad Wani, Aabid M. Koul, Asif Amin, Basit Amin Shah, Faizah Farooq, Raies A. Qadri
Publikováno v:
BMC Research Notes, Vol 15, Iss 1, Pp 1-7 (2022)
Abstract Objective Isolating high-quality RNA is a basic requirement while performing high throughput sequencing, microarray, and various other molecular investigations. However, it has been quite challenging to isolate RNA with absolute purity from
Externí odkaz:
https://doaj.org/article/7ba43c9a6a264204a930f87bae293300
Publikováno v:
IEEE Access, Vol 10, Pp 87602-87616 (2022)
Federated learning (FL) enables the training of a shared collaborative machine learning model while keeping all the confidential training data on distributed devices. The FL state-of-the-art considers a monopolist FL task publisher. However, we prese
Externí odkaz:
https://doaj.org/article/4d2e8047f265416d98056c7c03ca0ee7
Autor:
Umer Majeed Wani, Sheikh Tahir Majeed, Vaseem Raja, Zubair Ahmad Wani, Nelofer Jan, Khursid Iqbal Andrabi, Riffat John
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Cold stress is considered as one of the major environmental factors that adversely affects the plant growth and distribution. Therefore, there arises an immediate need to cultivate effective strategies aimed at developing stress-tolerant cro
Externí odkaz:
https://doaj.org/article/de63f560579749d995cd60c24436755e
Publikováno v:
IEEE Access, Vol 9, Pp 155634-155650 (2021)
Federated Learning (FL) relies on on-device training to avoid the migration of devices’ data to a centralized server to address privacy leakage. Moreover, FL is feasible for scenarios (e.g., autonomous cars) where an enormous amount of data is gene
Externí odkaz:
https://doaj.org/article/46f427ed361841c381889c306c59b45a
Autor:
Durdana Shah, Azra N Kamili, Aijaz A Wani, Umer Majeed, Zubair Ahmad Wani, Nasreena Sajjad, Parvaiz Ahmad
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0231355 (2020)
The overexploitation of medicinal plants is depleting gene pool at an alarming rate. In this scenario inducing the genetic variability through targeted mutations could be beneficial in generating varieties with increased content of active compounds.
Externí odkaz:
https://doaj.org/article/9ff4e0392a304bdbb2a4e02b72f5557e
Autor:
Khaja, Umer Majeed, Jabeen, Farhat, Ahmed, Maroof, Rafiq, Asma, Ansar, Ruhban, Javaid, Khushboo, Chopra, Chirag, Singh, Reena, Ganie, Showkat Ahmad
Publikováno v:
In Journal of Ethnopharmacology 5 December 2024 335
Autor:
Dar, Khalid Bashir, Parry, Ruhban Ansar, Bhat, Aashiq Hussain, Beigh, Afaq Hameed, Ahmed, Maroof, Khaja, Umer Majeed, Ganie, Aijaz Hassan, Mir, Manzoor Ahmad, Reshi, Bilal Ahmad, Khan, Ishfaq Shafi, Ganie, Showkat Ahmad
Publikováno v:
In Journal of Ethnopharmacology 10 January 2023 300
Autor:
Nelofer Jan, Umer Majeed, Mubashir Ahmad Wani, Zubair Ahmad Wani, Niranjan Chakraborty, Riffat John
Publikováno v:
South African Journal of Botany. 158:31-48
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0d1b352dc65b2bf145c5c115742ae0f
https://doi.org/10.1016/j.sajb.2023.04.047
https://doi.org/10.1016/j.sajb.2023.04.047