Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Mohammed Moiz"'
Autor:
Manish Kumar Thimmaraju, Bhavani Boddeda, Sahin Alamin Laskar, Mounika Vanamala, Uzma Uzma, Kabir Hussain Laskar, Aminul Islam, Navya Shirisha Devarakonda, Nahim Ahmed, Mohammed Moiz Khan, Jakaria Alom, A. Mohathasim Billah
Publikováno v:
International journal of health sciences. :1953-1961
Antibody fragments (FABs) are proteins that form part of the antigen recognition site. FABs are produced in genetically modified bacteriophages, bacteria, fungi, or plants and, consequently, can be produced in large quantities at a fraction of the co
Autor:
Ekasila Sangam, Syed Anisuddin, Mohammed Moiz, Vishali Binakar, Syed Shimroze, Mohammed Abdul Shahab, Adeeb Azam Khan
Publikováno v:
AIP Conference Proceedings.
Autor:
Samreen Huma, Ishrath Ayesha, Jamal Mohammed Moiz, Shareef Mohammed Mohiuddin, Omer Nishat Fatima
Publikováno v:
Journal of Drug Delivery and Therapeutics. 10:19-24
Objectives: To study the prescribing pattern of drugs & its use in the treatment of CLD & assess the pattern of co-morbidities associated with CLD. To Study the mortality rate of the patient using MELD score at a department of general medicine at Osm
Publikováno v:
Proceedings on Engineering Sciences; 2023 Special Issue, Vol. 5, p1-10, 10p
Autor:
Amr.W. Sadek, Mohammed Moiz Khan
Publikováno v:
Saudi Journal of Civil Engineering. 6:127
The present paper is concerned with the seismic risk assessment of buildings in the Kingdom of Saudi Arabia. A critical review of the existing literature is presented to identify the shortcomings of extant studies. None of the extant studies consider
India is a making country with an arrangement of structure practices and social and money related structure, which needs to build up its own special strategies for seismic danger appraisal. The latest decade has shown our lack in peril decline progra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::c541a243b2fff399c8ad0eaaa181159f
https://zenodo.org/record/5845134
https://zenodo.org/record/5845134
Publikováno v:
International Journal of Engineering Research and.
Publikováno v:
Emerging Research in Computing, Information, Communication and Applications ISBN: 9789811360008
In this paper, market indicators from three different approaches for algorithmic trading are analysed (moving average convergence divergence (MACD) crossovers, machine learning (ML) label-based indicators, and grid investing strategy). Market indicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7f72b6a48c8d8d1e0190d11ba2a0f98
https://doi.org/10.1007/978-981-13-6001-5_10
https://doi.org/10.1007/978-981-13-6001-5_10
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.