Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Nitin Khosla"'
Autor:
Nitin Khosla, Dharmendra Sharma
Publikováno v:
International Journal of Artificial Intelligence & Applications. 11:45-52
A semi-supervised classifier is used in this paper is to investigate a model for forecasting unpredictable load on the IT systems and to predict extreme CPU utilization in a complex enterprise environment with large number of applications running con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9471b67a39d71f14bd0d5ccbb379a88b
https://doi.org/10.5121/ijaia.2020.11104
https://doi.org/10.5121/ijaia.2020.11104
Autor:
Nitin Khosla, Dharmendra Sharma
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030853648
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8cd5a2d26a308edbd71ee68516c9acf
https://doi.org/10.1007/978-3-030-85365-5_3
https://doi.org/10.1007/978-3-030-85365-5_3
Autor:
Dharmendra Sharma, Nitin Khosla
Publikováno v:
9th International Conference on Information Technology Convergence and Services (ITCSE 2020).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02ae79bbdafc6bd5af2f825af02977b2
https://doi.org/10.5121/csit.2020.100513
https://doi.org/10.5121/csit.2020.100513
Autor:
Nitin Khosla, Dharmendra Sharma
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783030423629
This paper investigates a model to forecast memory-leak behavior in a big applications environment with short time frames, using neural networks. This process predicts the likelihood of a memory leakage in an IT infrastructure, with large number of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6392b0a742b1c018cfb7491dce8e499
https://doi.org/10.1007/978-3-030-42363-6_8
https://doi.org/10.1007/978-3-030-42363-6_8
Autor:
Dharmendra Sharma, Nitin Khosla
Publikováno v:
9th International Conference on Advances in Computing and Information Technology (ACITY 2019).
The aim of semi-supervised learning approach in this paper is to improve the supervised classifiers to investigate a model for forecasting unpredictable load on system and to predict CPU utilization in a big enterprise applications environment. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d083f2dffc18a8be4a6a316001c07d2b
https://doi.org/10.5121/csit.2019.91709
https://doi.org/10.5121/csit.2019.91709
Autor:
Nitin Khosla, Ravindra L. Mehta, Jonathan Himmelfarb, Emil P. Paganini, Sharon B. Soroko, T. Alp Ikizler, Glenn M. Chertow
Publikováno v:
Clinical Journal of the American Society of Nephrology. 4:1914-1919
Background and objectives: Acute kidney injury (AKI) is associated with adverse outcomes in critically ill patients. The influence of preexisting chronic kidney disease (CKD) on AKI outcomes is unclear. Design, setting, participants, & measurements:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0579aae41883a7afd2460cff0ffa74e0
https://doi.org/10.2215/cjn.01690309
https://doi.org/10.2215/cjn.01690309
Publikováno v:
Medical Clinics of North America. 93:697-715
There is an epidemic of chronic kidney disease in the Western world, with hypertension being the second most common cause. Blood pressure control rates, while improving, are still below 50% for the United States population. The following three challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::821f946e9aa0f3c1b344ae5442a10722
https://doi.org/10.1016/j.mcna.2009.02.001
https://doi.org/10.1016/j.mcna.2009.02.001
Autor:
Carolyn M. Feltes, Jennifer Van Eyk, Ravindra L. Mehta, Andrew D. Shaw, Peter A. McCullough, Mark Stafford-Smith, Didier Lebrec, Richard Moreau, Hamid Rabb, Madhav Swaminathan, Josée Bouchard, Nitin Khosla
Publikováno v:
Nephron Physiology. 109:I-VI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cb864d2b01172419fded7eea68d22d9
https://doi.org/10.1159/000157728
https://doi.org/10.1159/000157728
Publikováno v:
American Journal of Kidney Diseases. 49:12-26
The presence of proteinuria is a well-known risk factor for both the progression of renal disease and cardiovascular morbidity and mortality, and decreases in urine protein excretion level were associated with a slower decrease in renal function and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83082b61011e5bba5763865b86f75287
https://doi.org/10.1053/j.ajkd.2006.10.014
https://doi.org/10.1053/j.ajkd.2006.10.014
Autor:
Nitin Khosla, George L. Bakris
Publikováno v:
Clinical Journal of the American Society of Nephrology. 1:229-235
This article reviews BP trials with primary or secondary cardiovascular (CV) or renal end points. It focuses on how results of recent trials have influenced guidelines and clinical practice with specific reference to two issues: ( 1 ) Achievement of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::346ceacae4ef39bf2d271a77ce94dab4
https://doi.org/10.2215/cjn.00840805
https://doi.org/10.2215/cjn.00840805