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of 61
pro vyhledávání: '"Tariq Habib"'
Autor:
Tariq Habib, Nudia Qadeer, Karamit Hussain, Shakeel Sabir, Ansar Mehmood, Muhammad Shakeel Awan, Taskeen Iqbal
Publikováno v:
Journal of Ecology and Environment, Vol 48 (2024)
Background: The present study provides valuable insights into the traditional uses of medicinal plants by the inhabitants of the Northern District of the lesser Himalayas in Azad Jammu and Kashmir, Pakistan. The study likely focuses on documenting an
Externí odkaz:
https://doaj.org/article/121b19bdb3094b489e96569395362dc4
Autor:
Duong Thi Thu Van, Muhammad Numan Khan, Tariq Habib Afridi, Irfan Ullah, Aftab Alam, Young-Koo Lee
Publikováno v:
IEEE Access, Vol 10, Pp 21684-21700 (2022)
Deep learning has recently been shown to be effective in uncovering hidden patterns in non-Euclidean space, where data is represented as graphs with complex object relationships and interdependencies. Because of the implicit data dependence in the bi
Externí odkaz:
https://doaj.org/article/4be8e562ee5c41218f584e1235eb360e
Autor:
Muhammad Majeed, Arshad Mahmood Khan, Tariq Habib, Muhammad Mushahid Anwar, Hakim Ali Sahito, Nasrullah Khan, Kishwar Ali
Publikováno v:
Ecological Indicators, Vol 142, Iss , Pp 109291- (2022)
Vegetation composition and/or plant species co-existence is influenced by the environmental variations in any region. The ecological knowledge and order of importance of selected environmental variations is important in conservation and management of
Externí odkaz:
https://doaj.org/article/dfcfd2064bcf40c4a9a9810bdfdf107b
Autor:
Khan, Asifullah, Sohail, Anabia, Fiaz, Mustansar, Hassan, Mehdi, Afridi, Tariq Habib, Marwat, Sibghat Ullah, Munir, Farzeen, Ali, Safdar, Naseem, Hannan, Zaheer, Muhammad Zaigham, Ali, Kamran, Sultana, Tangina, Tanoli, Ziaurrehman, Akhter, Naeem
Deep supervised learning models require high volume of labeled data to attain sufficiently good results. Although, the practice of gathering and annotating such big data is costly and laborious. Recently, the application of self supervised learning (
Externí odkaz:
http://arxiv.org/abs/2408.17059
Publikováno v:
PLoS ONE, Vol 17, Iss 6 (2022)
The antioxidant capacity of extracts of different parts of Cucurbitaceae vegetables was evaluated by DPPH (2, 2-diphenyl-1-picrylhydrazyl) and ABTS (2, 2’-azino bis (ethyl benzothiazoline 6)-sulphonic acid) methods. Total phenolic content (TPC) and
Externí odkaz:
https://doaj.org/article/93e6636d9a754ae1bb5630ab884b51ce
Autor:
Arshad Mahmood Khan, Rahmatullah Qureshi, Mirza Faisal Qaseem, Waseem Ahmad, Zafeer Saqib, Tariq Habib
Publikováno v:
Journal of Bioresource Management, Vol 3, Iss 3, Pp 22-54 (2016)
The problems of synonymy, incorrect species author citation/abbreviation and spelling errors are hampering botanical research around the globe. This article was aimed to quantify the intensity and errors encountered in this regard in published botani
Externí odkaz:
https://doaj.org/article/66a7573e55744220a9e01eb334377780
Autor:
Sultana, Tangina, Hossain, Md. Delowar, Morshed, Md Golam, Afridi, Tariq Habib, Lee, Young-Koo
Publikováno v:
In Information Sciences March 2024 662
Autor:
Alam, Aftab, Khalid, Shah, Khan, Muhammad Numan, Afridi, Tariq Habib, Ullah, Irfan, Lee, Young-Koo
On the rise of distributed computing technologies, video big data analytics in the cloud have attracted researchers and practitioners' attention. The current technology and market trends demand an efficient framework for video big data analytics. How
Externí odkaz:
http://arxiv.org/abs/2011.02694
Publikováno v:
SCA 2020
Memes are graphics and text overlapped so that together they present concepts that become dubious if one of them is absent. It is spread mostly on social media platforms, in the form of jokes, sarcasm, motivating, etc. After the success of BERT in Na
Externí odkaz:
http://arxiv.org/abs/2009.08395
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