Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Stock market prediction under a deep learning approach using Variational Autoencoder, and kernel extreme learning machine.

Hemant, A. Parida, R. Kumari, A. Singh, A. Bandyopadhyay, and S. Swain. OCIT, page 156-161. IEEE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Saurav Bandyopadhyay

Mahuya Bandyopadhyay

Anjan Pakhira

Nadimpalli Anjaneyulu

Mainak Bandyopadhyay

Other publications of authors with the same name

An auction framework for DaaS in cloud computing and its evaluation.A. Bandyopadhyay, F. Xhafa, S. Mukhopadhyay, V. Singh, and A. Sharma. Int. J. Web Grid Serv., 15 (2): 119-138 (2019)EdgeMatch: A Smart Approach for Scheduling IoT-Edge Tasks With Multiple Criteria Using Game Theory.A. Bandyopadhyay, V. Mishra, S. Swain, K. Chatterjee, S. Dey, S. Mallik, A. Al-Rasheed, M. Abbas, and B. Soufiene. IEEE Access, (2024)Matching IoT Devices to the Fog Service Providers: A Mechanism Design Perspective.A. Bandyopadhyay, V. Singh, S. Mukhopadhyay, U. Rai, F. Xhafa, and P. Krause. Sensors, 20 (23): 6761 (2020)An Efficient Framework for Resource Allocation and Dynamic Pricing Scheme for Completion Time Failure in Cloud Computing.A. Bandyopadhyay, V. Singh, S. Mukhopadhyay, U. Rai, and A. Bandyopadhyay. NBiS, volume 313 of Lecture Notes in Networks and Systems, page 143-153. Springer, (2021)A Framework for Allocation of IoT Devices to the Fog Service Providers in Strategic Setting.A. Bandyopadhyay, F. Xhafa, S. Mallik, P. Krause, S. Mukhopadhyay, V. Singh, and U. Maulik. 3PGCIC, volume 96 of Lecture Notes in Networks and Systems, page 340-351. Springer, (2019)Multilingual Hate Speech and Offensive Language Detection.S. Turjya, R. Kumari, S. Swain, and A. Bandyopadhyay. OCIT, page 660-664. IEEE, (2023)On free of cost service distribution in cloud computing.A. Bandyopadhyay, S. Mukhopadhyay, and U. Ganguly. ICACCI, page 1974-1980. IEEE, (2017)Quantum-Inspired Neural Network on Handwriting Datasets.M. Shah, J. Sarraf, P. Pattnaik, and A. Bandyopadhyay. TCCE, page 291-305. (2022)Excavating Multimodal Correlation for Movie Recommendation System.U. Pati, S. Swain, R. Kumari, V. Mishra, and A. Bandyopadhyay. ICCCNT, page 1-7. IEEE, (2023)An Auction Framework for DaaS in Cloud Computing.A. Bandyopadhyay, F. Xhafa, and S. Mukhopadhyay. EIDWT, volume 17 of Lecture Notes on Data Engineering and Communications Technologies, page 732-741. Springer, (2018)

BibSonomy

Disambiguation of "Bandyopadhyay, Anjan"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Stock market prediction under a deep learning approach using Variational Autoencoder, and kernel extreme learning machine.

Please choose a person to relate this publication to

Saurav Bandyopadhyay

Mahuya Bandyopadhyay

Anjan Pakhira

Nadimpalli Anjaneyulu

Mainak Bandyopadhyay

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bandyopadhyay, Anjan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Stock market prediction under a deep learning approach using Variational Autoencoder, and kernel extreme learning machine.

Please choose a person to relate this publication to

Saurav Bandyopadhyay

Mahuya Bandyopadhyay

Anjan Pakhira

Nadimpalli Anjaneyulu

Mainak Bandyopadhyay

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Stock market prediction under a deep learning approach using Variational Autoencoder, and kernel extreme learning machine.