scispace - formally typeset
Search or ask a question
Institution

Banaras Hindu University

EducationVaranasi, Uttar Pradesh, India
About: Banaras Hindu University is a education organization based out in Varanasi, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Dielectric. The organization has 11858 authors who have published 23917 publications receiving 464677 citations. The organization is also known as: Kashi Hindu Vishvavidyalay & Benares Hindu University.


Papers
More filters
Journal ArticleDOI
TL;DR: Deep learning for stock prediction has been introduced in this paper and its performance is evaluated on Google stock price multimedia data from NASDAQ.
Abstract: Stock market is considered chaotic, complex, volatile and dynamic. Undoubtedly, its prediction is one of the most challenging tasks in time series forecasting. Moreover existing Artificial Neural Network (ANN) approaches fail to provide encouraging results. Meanwhile advances in machine learning have presented favourable results for speech recognition, image classification and language processing. Methods applied in digital signal processing can be applied to stock data as both are time series. Similarly, learning outcome of this paper can be applied to speech time series data. Deep learning for stock prediction has been introduced in this paper and its performance is evaluated on Google stock price multimedia data (chart) from NASDAQ. The objective of this paper is to demonstrate that deep learning can improve stock market forecasting accuracy. For this, (2D)2PCA + Deep Neural Network (DNN) method is compared with state of the art method 2-Directional 2-Dimensional Principal Component Analysis (2D)2PCA + Radial Basis Function Neural Network (RBFNN). It is found that the proposed method is performing better than the existing method RBFNN with an improved accuracy of 4.8% for Hit Rate with a window size of 20. Also the results of the proposed model are compared with the Recurrent Neural Network (RNN) and it is found that the accuracy for Hit Rate is improved by 15.6%. The correlation coefficient between the actual and predicted return for DNN is 17.1% more than RBFNN and it is 43.4% better than RNN.

204 citations

Journal ArticleDOI
TL;DR: This review aims to provide current updates about the biochemical and molecular networks involved in As uptake by plants and the recent developments in the area of functional genomics in terms of developing As tolerant and low As accumulating plants.

203 citations

Journal Article
TL;DR: Comparison with other European countries showed that Indian affluents are shorter and lighter; however, they are similar to their counterparts of Asian origin.
Abstract: The present study was conducted to study growth parameters on 12,899 boys and 9,951 girls of affluent class from 8 States of the country. In pooled data, the 50th centile height approached 30-40th centile till 6 1/2 years in boys and up to 10 years in girls, and ultimately the height growth curves for both fell between the 10-20th centile of NCHS standards. Similarly, for weight, they approached 10-20th centile of NCHS at the age of 17 yr. Comparison with other European countries showed that Indian affluents are shorter and lighter; however, they are similar to their counterparts of Asian origin. The secular trend for height in Delhi showed increase of 2.1 cm for boys, and 2.7 cm for girls per decade at 17 yr and 14 yr, respectively. In Varanasi, the corresponding trend was 1.5 and 2.1 cm at 16 yr for boys and girls, respectively. The mean ages for genital development stages G 2-5 were 11.9, 13.3, 14.6 and 15.9 yr; respectively. In girls, the breast development Stages B 2-5 had mean ages of 10.9, 12.8, 13.9 and 14.8 yr, respectively. The mean age for menarche was 12.6 yr. In 14 yr old boys, the mean height may vary between 150.3, 155.8, 161.2 and 165.2 cm and mean weight between 38.0, 42.5, 46.8 and 52.9 kg for genital stages G 2-5, respectively. Similarly, girls of 12.5 yr (close to menarcheal age of 12.6 yr) had mean height 145.3, 150.3, 152.1 and 153.8 cm and mean weight 34.7, 41.2, 45.4 and 54.4 kg for breast stages B 2-5, respectively. It is recommended that for growth assessment during adolescence these charts in relation to sexual development and age be used for comparison.

203 citations

Journal ArticleDOI
TL;DR: This review is concerned with emerging targeted nanomedicines and multifunctional carriers capable of combining targeted drug delivery and imaging in the field of pharmaceutical applications and the significant toxicity issues associated with these nanomediines are explored.

202 citations

Journal ArticleDOI
S. S. Adler1, S. Afanasiev2, Christine Angela Aidala1, N. N. Ajitanand3  +338 moreInstitutions (42)
TL;DR: The PHENIX experiment at the relativistic heavy ion collider (RHIC) has measured transverse energy and charged particle multiplicity at midrapidity in collisions at center-of-mass energies as mentioned in this paper.
Abstract: The PHENIX experiment at the relativistic heavy ion collider (RHIC) has measured transverse energy and charged particle multiplicity at midrapidity in $\mathrm{Au}+\mathrm{Au}$ collisions at center-of-mass energies $\sqrt{{s}_{\mathrm{NN}}}=19.6,130$, and $200\phantom{\rule{0.3em}{0ex}}\text{GeV}$ as a function of centrality. The presented results are compared to measurements from other RHIC experiments and experiments at lower energies. The $\sqrt{{s}_{\mathrm{NN}}}$ dependence of $dE{}_{T}/d\ensuremath{\eta}$ and $dN{}_{\mathrm{ch}}/d\ensuremath{\eta}$ per pair of participants is consistent with logarithmic scaling for the most central events. The centrality dependence of $dE{}_{T}/d\ensuremath{\eta}$ and $dN{}_{\mathrm{ch}}/d\ensuremath{\eta}$ is similar at all measured incident energies. At RHIC energies, the ratio of transverse energy per charged particle was found to be independent of centrality and growing slowly with $\sqrt{{s}_{\mathrm{NN}}}$. A survey of comparisons between the data and available theoretical models is also presented.

202 citations


Authors

Showing all 12110 results

NameH-indexPapersCitations
Ashok Kumar1515654164086
Rajesh Kumar1494439140830
Prashant Shukla131134185287
Sudhir Malik130166998522
Vijay P. Singh106169955831
Rakesh Agrawal105668107569
Gautam Sethi10242531088
Jens Christian Frisvad9945331760
Sandeep Kumar94156338652
E. De Clercq9077430296
Praveen Kumar88133935718
Shyam Sundar8661430289
Arvind Kumar8587633484
Padma Kant Shukla84123235521
Brajesh K. Singh8340124101
Network Information
Related Institutions (5)
University of Delhi
36.4K papers, 666.9K citations

96% related

Panjab University, Chandigarh
18.7K papers, 461K citations

96% related

Council of Scientific and Industrial Research
31.8K papers, 707.7K citations

94% related

Bhabha Atomic Research Centre
31.2K papers, 570.7K citations

93% related

Jadavpur University
27.6K papers, 422K citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202399
2022351
20211,606
20201,336
20191,162
20181,053