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pro vyhledávání: '"M. Ashish"'
Publikováno v:
International Journal of Research Publication and Reviews. 4:634-646
Publikováno v:
Silicon. 14:11007-11014
Publikováno v:
PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY.
Publikováno v:
International Journal of Environment and Climate Change. :34-38
Gibberellic acid is an essential growth promoter that aids in the systematic plant growth. Studies on the impact of GA3 during cold period discovered a positive effect on the growth of rice plants. The current study evaluated the impact of various co
Publikováno v:
INFORMATION TECHNOLOGY IN INDUSTRY. 9:472-478
Recommender systems are the backbone of all the prediction-based service platforms e.g. Facebook, Amazon, LinkedIn etc. Even companies now a days are using the recommender systems to show users personalized ads. These service providers capture the ri
Autor:
Gad, M. Ashish, Balaji, C.
Publikováno v:
In International Communications in Heat and Mass Transfer
Publikováno v:
Surgical Science. 10:164-168
Saphenous vein graft (SVG) bypass of the renal artery from the aorta has been well documented, though bypass of the internal iliac artery to the individual renal arteries is not yet described. We herewith present a case of early TRAS detected 6 hours
Autor:
M Ashish, Kabir, Thomas C, Chelimsky
Publikováno v:
Handbook of clinical neurology. 161
In this chapter, we describe the history, presentation, diagnosis and treatment of pure autonomic failure (PAF). The pathology underlying this condition is thought to involve the deposition of alpha synuclein in the autonomic ganglia leading to dimin
Autor:
M Ashish Kabir, Thomas C. Chelimsky
In this chapter, we describe the history, presentation, diagnosis and treatment of pure autonomic failure (PAF). The pathology underlying this condition is thought to involve the deposition of alpha synuclein in the autonomic ganglia leading to dimin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe824912a73d32693fb2f0193d5debc1
https://doi.org/10.1016/b978-0-444-64142-7.00064-3
https://doi.org/10.1016/b978-0-444-64142-7.00064-3
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1022:012003
Prediction of cardiovascular diseases is one of the crucial aspects which every healthcare organization has to do with. Prediction of cardiovascular disease well in time may save the life of patients. In this paper, we applied various machine learnin