EXPLORING NEURAL NETWORK TOPOLOGIES FOR THE DETECTION OF FAKE NEWS: A HYBRID OF CONVOLUTIONAL AND RECURRENT NEURAL NETWORK
Department of Computer Science and Engineering,Kalasalingam Academy of Research and Education, Krishnankoil- 626126, Tamil Nadu, India; S. Ahamed Nishath; R Murugeswari; Department of Computer Science and Engineering,Kalasalingam Academy of Research and Education, Krishnankoil- 626126, Tamil Nadu, India
- Published
- Publisher
- PNAD Digital Publishers
- Journal / collection
- Journal of Dynamics and Control
- Research area
- AI & compute
- Source type
- Journal article
- DOI
- 10.71058/jodac.v8i9020
The original publisher provides the full text and its access options.
Cite this source
Department of Computer Science and Engineering,Kalasalingam Academy of Research and Education, Krishnankoil- 626126, Tamil Nadu, India; S. Ahamed Nishath; R Murugeswari; Department of Computer Science and Engineering,Kalasalingam Academy of Research and Education, Krishnankoil- 626126, Tamil Nadu, India. EXPLORING NEURAL NETWORK TOPOLOGIES FOR THE DETECTION OF FAKE NEWS: A HYBRID OF CONVOLUTIONAL AND RECURRENT NEURAL NETWORK. Journal of Dynamics and Control. 2024-08-31. https://doi.org/10.71058/jodac.v8i9020