Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mustafa, Imran"'
Publikováno v:
Arthritis Rheumatol
OBJECTIVE Systemic sclerosis (SSc) is characterized by widespread fibrosis and vascular complications. This study was undertaken to examine the chromatin landscape and transcription factor footprints in SSc, using an assay for genome-wide chromatin a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aaeb9a75b471cb73039065c438a7085
https://doi.org/10.1002/art.41694
https://doi.org/10.1002/art.41694
Publikováno v:
In Diabetes Research and Clinical Practice 2012 95(1):98-104
Autor:
Arora, Manisha1 drmanishaarora@gmail.com, Mustafa, Imran1, Mahat, Roshan Kumar1,2, Kumar, Sudeep1, Muzammil, Khursheed3, Arora, Saurabh4, Sah, Sumesh Prasad1
Publikováno v:
Future of Medical Education Journal. Jun2019, Vol. 9 Issue 2, p46-51. 6p.
Autor:
Kannan, Vivekanandan, Gadamsetty, Deepak, Rose, Madhankumar, Maria, Stella, Mustafa, Imran, Khedkar, Anand, Dave, Nitesh, Arumugam, Muruganandam, Iyer, Harish
Publikováno v:
In Journal of Chromatography B 2010 878(15):1069-1076
Autor:
IQBAL, SHAHID, MITTAL, ANJU, KUMAR, SUDEEP, SAH, SUMESH PRASAD, MUSTAFA, IMRAN, SHARMA, MANJU
Publikováno v:
Journal of Clinical & Diagnostic Research; Oct2020, Vol. 14 Issue 10, p24-27, 4p
Publikováno v:
Arabian Journal for Science and Engineering. 36:259-278
Combinatorial optimization problems are generally NP hard problems that require large run-times when solved using iterative heuristics. Parallelization using distributed or shared memory computing clusters thus becomes a natural choice to speed up th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80d9a7aaea712d8797c9c3f7529c200b
https://doi.org/10.1007/s13369-010-0024-6
https://doi.org/10.1007/s13369-010-0024-6
Publikováno v:
Journal of Mathematical Modelling and Algorithms. 6:433-454
Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to well established stochastic heuristics such as SA, TS and GA, with shorter runtimes. However, for optimization problems with a very large set of eleme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1da4d58b672d50ea5d055f07e3b94739
https://doi.org/10.1007/s10852-007-9064-7
https://doi.org/10.1007/s10852-007-9064-7
Publikováno v:
ISDA
JUCS-Journal of Universal Computer Science 14(15): 2471-2490
JUCS-Journal of Universal Computer Science 14(15): 2471-2490
The paper discusses the parallelization of stochastic evolution metaheuristic, identifying effective parallelization for a distributed parallel environment. Multiobjective VLSI cell placement is used as an optimization problem. A comprehensive set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb75d1740b914c28d21f0061a44572bb
Publikováno v:
16th Asian Test Symposium (ATS 2007).
An effective reconfigurable broadcast scan compression scheme that employs test set partitioning and relaxation-based test vector decomposition is proposed. Given a constraint on the number of tester channels, the technique classifies the test set in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b23b9de468e40256aef4b610273db393
https://doi.org/10.1109/ats.2007.41
https://doi.org/10.1109/ats.2007.41
Publikováno v:
ISCAS (6)
Simulated evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach near-optimal solutions in less time than simulated annealing. Nevertheless, depend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6a80916d47ba7770110582dc1ef9a8f
https://doi.org/10.1109/iscas.2005.1466063
https://doi.org/10.1109/iscas.2005.1466063