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Institution

Birla Institute of Technology, Mesra

EducationRanchi, India
About: Birla Institute of Technology, Mesra is a education organization based out in Ranchi, India. It is known for research contribution in the topics: Computer science & Dielectric. The organization has 2801 authors who have published 4789 publications receiving 52426 citations. The organization is also known as: BIT.


Papers
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Journal ArticleDOI
TL;DR: Six supervised machine learning algorithms such as k-Nearest Neighborhood, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine with radial basis function kernel, and Adam Gradient Descent Learning are presented.

63 citations

Journal ArticleDOI
TL;DR: New antimicrobials were identified, some of which warrant exploration as initial leads against potentially novel targets and small-molecule tools to assist in the elucidation of targets specific to iron-scarcity adapted Mtb and Yp.

63 citations

Journal ArticleDOI
TL;DR: Optimal microsponge loaded gel showed reduced frequency of application, no skin irritation, low cytotoxicity on dermal cell lines and enhanced wound contraction, and the antibacterial inhibitory efficiency of optimized gel was similar to the commercial product against the Staphylococcus aureus and Pseudomonas aeruginosa.

62 citations

Journal ArticleDOI
TL;DR: Both the experimental and statistical analyses show that improvements in ABC algorithm have an advantage over the conventional ABC algorithm for solving clustering problems.
Abstract: In the field of data analysis, clustering is a powerful technique which groups the data into different subsets using a distance function. Data belonging to the same subset are similar in nature and offer heterogeneity to the data that reside in other subsets. Clustering has proved its potentiality in various fields such as bioinformatics, pattern recognition, image processing and many more. In this paper, a two-step artificial bee colony (ABC) algorithm is proposed for efficient data clustering. In two-step ABC algorithm, the initial positions of food sources are identified using the K-means algorithm instead of random initialization. Along this, to discover the promising search areas, an improved solution search equation based on social behavior of PSO is applied in the onlooker bee phase of ABC algorithm and abandoned food source location is found by using Hooke and Jeeves-based direct search method. Five benchmark and two artificial datasets are applied to validate the proposed modifications in the ABC algorithm, and results of this study are compared with other well-known clustering algorithms. Both the experimental and statistical analyses show that improvements in ABC algorithm have an advantage over the conventional ABC algorithm for solving clustering problems.

62 citations

Journal ArticleDOI
TL;DR: In this article, the performance of modified poly-saccharides outperforms existing flocculants in national and international markets in turbulent drag reduction (DR), percolation, and rheology.
Abstract: Polysaccharides are abundantly available from farm, forest, and microbial re- sources. They are used in myriad applications. It has been established in the authors' labora- tory that their performance is enhanced considerably on purification, grafting by poly- acrylamide (PAM), and subsequent hydrolysis as well as cationization. The most significant performance is enhanced in flocculation where it has been found that the modified poly- saccharides outperform existing flocculants in national and international markets. Similar ef- fects are observed in their performance in turbulent drag reduction (DR), percolation, and rheology. The present article outlines the details of materials, mechanisms, and practical ap- plications of these novel materials.

62 citations


Authors

Showing all 2858 results

NameH-indexPapersCitations
Bharat Bhushan116127662506
Santosh Kumar80119629391
Ramesh Chandra6662016293
J. Paulo Davim6438213403
Manish Kumar61142521762
Sandeep Singh5267011566
Ajar Nath Yadav481476090
Indranil Manna462639306
Anant Paradkar431956260
Sagar Pal401415271
Pratyoosh Shukla391944373
Neha Gupta362134782
Prasanta K. Jana351694135
Sumit Basu341234275
Pradeep Sharma334364825
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
202280
2021590
2020476
2019465
2018406