Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sharat Israni"'
Autor:
Rajesh Kabra, MD, FHRS, Sharat Israni, PhD, Bharat Vijay, MS, Chaitanya Baru, PhD, Raghuveer Mendu, BTech, Mark Fellman, BS, Arun Sridhar, MD, FHRS, Pamela Mason, MD, FHRS, Jim W. Cheung, MD, FHRS, Luigi DiBiase, MD, PhD, FHRS, Srijoy Mahapatra, MD, FHRS, Jerome Kalifa, MD, PhD, Steven A. Lubitz, MD, Peter A. Noseworthy, MD, FHRS, Rachita Navara, MD, David D. McManus, MD, FHRS, Mitchell Cohen, MD, Mina K. Chung, MD, FHRS, Natalia Trayanova, PhD, FHRS, Rakesh Gopinathannair, MD, FHRS, Dhanunjaya Lakkireddy, MD, FHRS
Publikováno v:
Cardiovascular Digital Health Journal, Vol 3, Iss 6, Pp 263-275 (2022)
Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of cardiovascular medicine, especially cardiac electrophysiology (EP), on multiple fronts. The goal of this review is to familiarize readers with the field o
Externí odkaz:
https://doaj.org/article/336de8e6be8a4621958360252fec7120
Autor:
John H Morris, Karthik Soman, Rabia E Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C Meng, Conrad C Huang, Gabriel Cerono, Gundolf Schenk, Angela Rizk-Jackson, Adil Harroud, Lauren Sanders, Sylvain V Costes, Krish Bharat, Arjun Chakraborty, Alexander R Pico, Taline Mardirossian, Michael Keiser, Alice Tang, Josef Hardi, Yongmei Shi, Mark Musen, Sharat Israni, Sui Huang, Peter W Rose, Charlotte A Nelson, Sergio E Baranzini
Publikováno v:
Bioinformatics (Oxford, England), vol 39, iss 2
MotivationKnowledge graphs (KGs) are being adopted in industry, commerce and academia. Biomedical KG presents a challenge due to the complexity, size and heterogeneity of the underlying information.ResultsIn this work, we present the Scalable Precisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08999d208d9350af4cd8a25a2c9dd7a4
https://escholarship.org/uc/item/12z7n7k5
https://escholarship.org/uc/item/12z7n7k5
Autor:
Rajesh Kabra, Sharat Israni, Bharat Vijay, Chaitanya Baru, Raghuveer Mendu, Mark Fellman, Arun Sridhar, Pamela Mason, Jim W. Cheung, Luigi DiBiase, Srijoy Mahapatra, Jerome Kalifa, Steven A. Lubitz, Peter A. Noseworthy, Rachita Navara, David D. McManus, Mitchell Cohen, Mina K. Chung, Natalia Trayanova, Rakesh Gopinathannair, Dhanunjaya Lakkireddy
Publikováno v:
Cardiovascular digital health journal. 3(6)
Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of cardiovascular medicine, especially cardiac electrophysiology (EP), on multiple fronts. The goal of this review is to familiarize readers with the field o
Autor:
Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung–Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert Patton, Sergio E. Baranzini, Richard Vuduc, Thomas Potok
Publikováno v:
SC22: International Conference for High Performance Computing, Networking, Storage and Analysis.
Autor:
Ying Ding, Amit Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Autor:
Vivek A. Rudrapatna, Rick Larsen, Bethany Percha, Marcus A. Badgeley, Nelson Lee, Riccardo Miotto, Benjamin S. Glicksberg, Nicholas P. Tatonetti, Kipp W. Johnson, Nadav Rappoport, Remi Frazier, Li Li, Nicholas Giangreco, Boris Oskotsky, Eugenia Rutenberg, Theodore C. Goldstein, Debajyoti Datta, Mark M. Shervey, Phyllis M. Thangaraj, Joel T. Dudley, Atul J. Butte, Sharat Israni
Publikováno v:
Bioinformatics (Oxford, England), vol 35, iss 21
Bioinformatics
Bioinformatics
Author(s): Glicksberg, Benjamin S; Oskotsky, Boris; Thangaraj, Phyllis M; Giangreco, Nicholas; Badgeley, Marcus A; Johnson, Kipp W; Datta, Debajyoti; Rudrapatna, Vivek A; Rappoport, Nadav; Shervey, Mark M; Miotto, Riccardo; Goldstein, Theodore C; Rut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f66036d7ed0dd6ff08dde309a36c9360
https://escholarship.org/uc/item/9qq756t2
https://escholarship.org/uc/item/9qq756t2
Autor:
Jerry L. Sanders, Sharat Israni
Publikováno v:
Journal of Manufacturing Systems. 1:169-182
The two-dimensional cutting stock problem addresses the allocation of a required bill of materials onto stock sheets in a manner that minimizes the trim losses. This paper surveys the progress made on the study of the problem from the original contri
Autor:
Jerry L. Sanders, Sharat Israni
Publikováno v:
Computers & Industrial Engineering. 8:207-214
The design of a Manufacturing Decision Support System (MDSS) for the control of a flamecutting operation is discussed. The MDSS incorporates the overall economics of a continuing inventory. It also takes into account the use of left-over offcuts or p
Autor:
Jerry L. Sanders, Sharat Israni
Publikováno v:
International Journal of Production Research. 23:437-456
We compare the performance of a set of rectangular layout heuristics on the basis of their packing densities and time performance, with a view to increase their applicability in manufacturing situations. Among the techniques is a class of heuristics