Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Komal Bashir"'
Performing content-based image retrieval using rotated local binary pattern and multiple descriptors
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 41, Iss 3, Pp 142-148 (2022)
Images have been viewed as a powerful medium for displaying visual information in numerous applications. Content-based retrieval and querying the indexed collections are required to access visual information. Content image retrieval is an efficient m
Externí odkaz:
https://doaj.org/article/c2a204221b8d40b49bf6942bf83e3634
Publikováno v:
IEEE Access, Vol 8, Pp 73780-73790 (2020)
The future smart grid would help to benefit both the users and the electricity providing companies from smart pricing techniques. In addition, smart pricing can be used to achieve social objectives and would in turn fluctuate wholesale market into de
Externí odkaz:
https://doaj.org/article/61fed49980e54d6ca508b63e5d0a6982
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 38, Iss 1, Pp 239-250 (2019)
Image processing techniques are widely used for the detection and classification of diseases for various plants. The structure of the plant and appearance of the disease on the plant pose a challenge for image processing. This research implements SVM
Externí odkaz:
https://doaj.org/article/f83c2a29a3cf4fc28be4cf370b4c3ce7
Publikováno v:
Computer Systems Science and Engineering. 42:751-777
Autor:
Komal Bashir, Faisal Jamil, Muhammad Adnan Iqbal, Sadia Nazir, Umar Sohail Shoukat, Anam Bashir, Kainat Nasrullah, Ateeq-Ur Rehman
Publikováno v:
Reviews in Inorganic Chemistry.
Detection of different chemical moieties especially trace metals is important for humans as well as water safety. In this review, different detectors synthesized by the combination of different ligands with luminescent europium complexes were discuss
Autor:
Shahzadi Bakhtawar, Komal Bashir, Fatima Anjum, Faria Kanwal, Ayesha Afzaal, Ayesha Haider Ali
This study explores the potential for early detection of Metabolic Syndrome (MetS) using Machine Learning (ML) techniques. Dissection of prognostic components inciting the syndrome could help patients take cautious steps to prevent it in the early st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63e0c7aa9a1e3ac9fa91b9101e83be07
https://doi.org/10.21203/rs.3.rs-1800914/v1
https://doi.org/10.21203/rs.3.rs-1800914/v1
Publikováno v:
IEEE Access, Vol 8, Pp 73780-73790 (2020)
The future smart grid would help to benefit both the users and the electricity providing companies from smart pricing techniques. In addition, smart pricing can be used to achieve social objectives and would in turn fluctuate wholesale market into de
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 38, Iss 1, Pp 239-250 (2019)
Image processing techniques are widely used for the detection and classification of diseases for various plants. The structure of the plant and appearance of the disease on the plant pose a challenge for image processing. This research implements SVM
Publikováno v:
Sustainability, Vol 13, Iss 14027, p 14027 (2021)
Sustainability; Volume 13; Issue 24; Pages: 14027
Sustainability; Volume 13; Issue 24; Pages: 14027
The continuous rise in food scarcity is creating an alarming situation in underdeveloped countries and Pakistan is no exception. According to the Global Hunger Report published in 2020, Pakistan was ranked 88th among 107 countries, with 28.5% of the
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 7, Iss 4, Pp 1888-1893 (2017)
Engineering, Technology & Applied Science Research, Vol 7, Iss 4 (2017)
Engineering, Technology & Applied Science Research, Vol 7, Iss 4 (2017)
This review paper examines the prior studies on critical factors of e-learning adoption in Pakistan. The search terms identified 40 papers reporting 25 conceptual and qualitative and 15 quantitative evidence about the e-learning adoption and critical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::118cef41e30fad3c327ec619dc9a1b2b