A
Amritpal Singh
Researcher at Guru Nanak Dev University
Publications - 7
Citations - 50
Amritpal Singh is an academic researcher from Guru Nanak Dev University. The author has contributed to research in topics: Software deployment & Sorting. The author has an hindex of 2, co-authored 7 publications receiving 36 citations.
Papers
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Journal ArticleDOI
Peak to average power ratio reduction in OFDM system using hybrid technique
Amritpal Singh,Harjit Singh +1 more
TL;DR: A new method is proposed in this paper which is hybrid combination of PTS and SLM and this method has also reduced the PAPR from 6 to 5.
Journal ArticleDOI
Benzoflavone derivatives as potent antihyperuricemic agents.
Jatinder Singh,Gurbachan Mal,Gurleen Kaur,Manish K. Gupta,Amritpal Singh,Kunal Nepali,Harbinder Singh,Sahil Sharma,Preet Mohinder Singh Bedi +8 more
TL;DR: Benzoflavone derivatives exhibiting potent XO enzyme inhibition showed promising results in a hyperuricemic mice model when tested in vivo and docking results confirmed that their favorable binding conformations in the active site of XO can completely block the catalytic activity of the enzyme.
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Antiproliferative Effects of Roylea cinerea (D. Don) Baillon Leaves in Immortalized L6 Rat Skeletal Muscle Cell Line: Role of Reactive Oxygen Species Mediated Pathway.
Astha Bhatia,Harpal S. Buttar,Rohit Arora,Balbir Singh,Amritpal Singh,Sarabjit Kaur,Saroj Arora +6 more
TL;DR: The in vitro findings of these studies revealed that the bioactive ingredients present in the methanolic extract of leaves and stem of Roylea cinerea have the anticancer potential.
Journal Article
VRF: A Novel Algorithm for optimized Sorting
TL;DR: A novel sorting algorithm namely „V-Re-Fr (VRF) Sorting Algorithm‟ is proposed to address the limitations of the current popular sorting algorithms and provide improved functionality and reduce algorithm complexities.
Journal ArticleDOI
Harnessing Power of Decision Tree Approach for HPF Prediction using SIPINA and See5
TL;DR: This research study is primarily concentrated on such approach of HPF prediction with sequence derived features (SDF) using decision trees and there variants implemented using C5 and C4.5 algorithms like See5 and SIPINA.