A
Amit Kumar
Researcher at All India Institute of Medical Sciences
Publications - 370
Citations - 9353
Amit Kumar is an academic researcher from All India Institute of Medical Sciences. The author has contributed to research in topics: Approximation algorithm & Stroke. The author has an hindex of 45, co-authored 341 publications receiving 7809 citations. Previous affiliations of Amit Kumar include Indian Institute of Technology Delhi & Indian Institutes of Technology.
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E-waste: An overview on generation, collection, legislation and recycling practices
TL;DR: In this paper, an overview of the statistics on global e-waste generation and the sales of new electrical equipment and electronics in general is presented and the importance and benefits of recycling are emphasized while presenting the techniques currently used by the recycling facilities.
Proceedings ArticleDOI
Connectivity and inference problems for temporal networks
TL;DR: This work defines and studies the class of inference problems, in which it seeks to reconstruct a partially specified time labeling of a network in a manner consistent with an observed history of information flow, and provides results on two types of problems for temporal networks.
Proceedings ArticleDOI
Provisioning a virtual private network: a network design problem for multicommodity flow
TL;DR: This work establishes a relation between this collection of network design problems and a variant of the facility location problem introduced by Karger and Minkoff, and provides optimal and approximate algorithms for several variants of this problem, depending on whether the traffic matrix is required to be symmetric.
Proceedings ArticleDOI
A simple linear time (1 + /spl epsiv/)-approximation algorithm for k-means clustering in any dimensions
TL;DR: This work presents the first linear time (1 + /spl epsiv/)-approximation algorithm for the k-means problem for fixed k and /spl Epsiv/, which runs in O(nd) time.
Journal ArticleDOI
Corneal graft rejection.
TL;DR: Knowing the immunopathogenesis of graft rejection may allow a better understanding of the immunological process thus helping in its prevention, early detection and management.