Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Mahboob E"'
Autor:
Mujeeb Ur Rehman, Mahboob e Rabbani, Sohail Arshad, Muhammad Sajid Hamid Akash, Tassawer-e-Meran, Salamat Ali
Publikováno v:
Journal of Contemporary Pharmacy, Vol 1, Iss 2 (2018)
Objective: This study was under taken for the evaluation of pediatric epileptic patients and to determine the antiepileptic drugs used in treatment of different epilepsy types and its comparison with other studies. Method: This prospective study was
Externí odkaz:
https://doaj.org/article/a7b3e0e8d583437099bbb8277892e614
Publikováno v:
In Renewable Energy April 2020 148:876-888
Publikováno v:
Renewable Energy. 148:876-888
A cylindrical latent heat thermal storage system having a phase change material, HS89, encased in spherical capsules and stacked in rows to form a packed bed phase change material containment was considered for the experimental investigation. The hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddd8240566d92fa293dce0fe3dd0458d
https://doi.org/10.1016/j.renene.2019.10.172
https://doi.org/10.1016/j.renene.2019.10.172
Publikováno v:
Culture, Health & Sexuality, 2009 Jun 01. 11(5), 543-558.
Externí odkaz:
http://dx.doi.org/10.1080/13691050902919093
Autor:
Mahboob E. Afshan, L. Anna Gowsalya
This chapter deals with the heat transfer characteristics between the cast and the mold. Generally the heat transfer behavior between the cast and the sand mold is used and all the three modes of heat transfer are studied. The heat transfer character
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e80727978745f7cd81186d08dfaf019
https://doi.org/10.5772/intechopen.95371
https://doi.org/10.5772/intechopen.95371
Autor:
Mahboob Elahi, Samuel Olaiya Afolaranmi, Jose Luis Martinez Lastra, Jose Antonio Perez Garcia
Publikováno v:
Discover Artificial Intelligence, Vol 3, Iss 1, Pp 1-78 (2023)
Abstract Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial intelligence (AI) has empowered smart manufacturing and digital transformation. AI enhances the migration towards industry 4.0 through AI-based decis
Externí odkaz:
https://doaj.org/article/fc8071bf7f7b481bb3064493bd60dea1
Autor:
null Mujeeb Ur Rehman, null Mahboob e Rabbani, Sohail Arshad, Muhammad Sajid Hamid Akash, null Tassawer-e-Meran, Salamat Ali
Publikováno v:
Journal of Contemporary Pharmacy. 1:42-50
Objective: This study was under taken for the evaluation of pediatric epileptic patients and to determine the antiepileptic drugs used in treatment of different epilepsy types and its comparison with other studies. Method: This prospective study was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2dc66775d3e2a47fee17542187ec68f
https://doi.org/10.56770/jcp201707
https://doi.org/10.56770/jcp201707
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109160- (2023)
Machine learning (ML) techniques are widely adopted in manufacturing systems for discovering valuable patterns in shopfloor data. In this regard, machine learning models learn patterns in data to optimize process parameters, forecast equipment deteri
Externí odkaz:
https://doaj.org/article/bde2ded882e64b12bfe88cf102bb1f76
Publikováno v:
Culture, Health & Sexuality. 11:543-558
The Intra-Uterine Device (IUD) is an effective method of contraception, but in Bangladesh is associated with high levels of discontinuation within the first year. This study involved data collection from a retrospective cohort of women who had an IUD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::707d54253fac7073259351b0d5406f55
https://doi.org/10.1080/13691050902919093
https://doi.org/10.1080/13691050902919093
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