P
Partha Pratim Roy
Researcher at Indian Institute of Technology Roorkee
Publications - 509
Citations - 8436
Partha Pratim Roy is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 36, co-authored 404 publications receiving 5505 citations. Previous affiliations of Partha Pratim Roy include Samsung & Indian Statistical Institute.
Papers
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Journal ArticleDOI
A croconate-directed supramolecular self-healable Cd(II)-metallogel with dispersed 2D-nanosheets of hexagonal boron nitride: a comparative outcome of the charge-transport phenomena and non-linear rectifying behaviour of semiconducting diodes.
TL;DR: In this paper , the use of croconic acid disodium salt (CADS) as an organic gelator with Cd(II) salt to obtain an efficient soft-scaffold supramolecular self-healable metallogel in N,N-dimethyl formamide (DMF) media was investigated following an ultrasonication technique.
Book ChapterDOI
Touching text character localization in graphical documents using SIFT
TL;DR: The adaptation of the SIFT approach in the context of text character localization (spotting) in graphical documents is presented and the applicability of this technique in such documents is evaluated and the scope of improvement is discussed by combining some state-of-the-art approaches.
Journal ArticleDOI
Wheatgrass inhibits the lipopolysaccharide-stimulated inflammatory effect in RAW 264.7 macrophages.
Somesh Banerjee,Parul Katiyar,Vijay Kumar,Bhairavnath Waghmode,Sandip Nathani,Vengadesan Krishnan,Debabrata Sircar,Partha Pratim Roy +7 more
TL;DR: In this paper, the anti-inflammatory effect of wheatgrass extract against the harmful impact of lipopolysaccharide (LPS) in macrophage cells, i.e., RAW 264.7 cells, was investigated.
Journal ArticleDOI
Trajectory-Based Scene Understanding Using Dirichlet Process Mixture Model
TL;DR: Wang et al. as discussed by the authors proposed an unsupervised and nonparametric method to learn the frequently used paths from the tracks of moving objects in $\Theta (kn)$ time.
Journal ArticleDOI
Evaluation of Instance-Based Learning and Q-Learning Algorithms in Dynamic Environments
TL;DR: In this paper, a comparison between the statistical Q-learning algorithm and the cognitive IBL algorithm is presented, where a well-known environment, “Frozen Lake,” is used to train, generalize, and scale Q-Learning and IBL algorithms.