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Institution

Government College

About: Government College is a based out in . It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 4481 authors who have published 5986 publications receiving 57398 citations.


Papers
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Journal ArticleDOI
M.L. Jeswani1
01 Jul 1979-Wear
TL;DR: In this paper, an empirical equation was obtained which relates the volume of material eroded from the tool electrode to the energy of the pulse, density, thermal conductivity, specific heat and latent heat of vaporization of the electrode material.

44 citations

Journal ArticleDOI
TL;DR: The PGG isolated from MEMI inhibits 11β-HSD-1 activity and ameliorates HFD-induced diabetes in male C57BL/6 mice.

44 citations

Journal ArticleDOI
TL;DR: Plant-mediated synthesis of ZnO Nanoparticles (NPs) have multiple advantages over conventional synthetic methods like easy, inexpensive, eco-friendly, nontoxic by-products and no critical condition.
Abstract: Plant-mediated synthesis of ZnO Nanoparticles (NPs) have multiple advantages over conventional synthetic methods like easy, inexpensive, eco-friendly, nontoxic by-products and no critical condition...

43 citations

Journal ArticleDOI
TL;DR: In this article, different decay modes of superheavy nuclei such as spontaneous fission, ternary fission and cluster decay were studied and the authors proposed a method to study these decay modes.
Abstract: It is important to study the different decay modes of superheavy nuclei such as spontaneous fission, ternary fission and cluster decay. We studied the spontaneous fission, ternary fission and clust...

43 citations

Proceedings ArticleDOI
15 Jun 2017
TL;DR: It is observed that using appropriate pre-processing technique and Machine learning model, it is possible to improve accuracy rate of short-term trend prediction and using Fundamental and Technical Data, Long term Stock Prediction is Possible.
Abstract: This paper presents the results of method designed to predict price trends in the stock market. First objective of this research is to optimize the stock price trend prediction for short term using some oscillators and indicators: Moving Average Convergence Divergence (MACD), the Relative Strength Index (RSI), the Stochastic Oscillator (KDJ) and Bollinger Band (BB). It is observed that using appropriate pre-processing technique and Machine learning model, it is possible to improve accuracy rate of short-term trend prediction. Applying Preprocessing and then using combination of data can yield a better Accuracy rate in Short term Trades, while predicting for Long-term Trend of Stock this Technical indicators are not sufficient. Along with some of this Technical data and Fundamental Data of the company, it is possible to predict Long term stock movement. For Long term Prediction its Debt to Equity, Net profit of pervious 3 year, Promoters holding, Dividend yield and PE ratio is used along with Technical Factors. It is observed that using Fundamental and Technical Data, Long term Stock Prediction is Possible.

43 citations


Authors

Showing all 4481 results

NameH-indexPapersCitations
Rajesh Kumar1494439140830
Sanjeev Kumar113132554386
Rakesh Kumar91195939017
Praveen Kumar88133935718
V. Balasubramanian5445710951
Ghulam Murtaza53100514516
Marimuthu Govindarajan522126738
Muhammad Akram433937329
Ghulam Abbas404396396
Shivaji H. Pawar391684754
Muhammad Afzal381184318
Deepankar Choudhury351993543
Hidayat Hussain343165185
Hitesh Panchal341523161
Sher Singh Meena331873547
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202227
2021991
2020797
2019477
2018486
2017437