A Study of Graph Based Learning Models On Real Time Videos

February 2021
Vol-4, Issue-1
Paper ID: 13583
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
computer science & engineering
Keywords
Sparse Spatio-Temporal Data Spatio-Temporal Graph Graph Structured Recurrent Neural Network Data Augmentation Crime Forecasting Traffic Forecasting.
Abstract
We present a general framework for the modelling, analysis and forecasting of spatio-time (ST) data, with a specific emphasis on spatially and temporally dissipated data. Our multifarious structure consists of a seamless linkage of two key components: an automated point mechanism that models the ST Data’s macro statistic behaviours and a graph structured recurrent neural network (GSRNN) to detect the ST data’s micro scale patterns on the graph in question. The new DNN introduces real-time graph node interactions to allow more accurate real time predictions. Crime and traffic forecasting are shown to be successful in our process.

Author Information

# Name Institute / Affiliation
1 Madhusekhar Yadla Research Scholar of Sri Satya Sai University
2 Dr. Santanu Sikdar Research Supervisor of Sri Satya Sai University

How to Cite

Use the following formats to cite this article in your research.

APA Style
Yadla, Madhusekhar & Sikdar, Dr. Santanu (2021). A Study of Graph Based Learning Models On Real Time Videos. International Journal of Advance Research and Innovative Ideas In Education, 4(1), 1190-1193.
MLA Style
Yadla, Madhusekhar, and Dr. Santanu Sikdar. "A Study of Graph Based Learning Models On Real Time Videos." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 1, 2021, pp. 1190-1193.
IEEE Style
Madhusekhar Yadla and Dr. Santanu Sikdar, "A Study of Graph Based Learning Models On Real Time Videos," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 1, pp. 1190-1193, 2021.
Vancouver Style
Yadla Madhusekhar, Sikdar Dr. Santanu. A Study of Graph Based Learning Models On Real Time Videos. International Journal of Advance Research and Innovative Ideas In Education. 2021;4(1):1190-1193.
Harvard Style
Yadla, Madhusekhar & Sikdar, Dr. Santanu (2021) 'A Study of Graph Based Learning Models On Real Time Videos', International Journal of Advance Research and Innovative Ideas In Education, 4(1), pp. 1190-1193.
Chicago Style
Yadla, Madhusekhar and Dr. Santanu Sikdar. "A Study of Graph Based Learning Models On Real Time Videos." International Journal of Advance Research and Innovative Ideas In Education 4, no. 1 (2021): 1190-1193.
Turabian Style
Yadla, Madhusekhar and Dr. Santanu Sikdar. "A Study of Graph Based Learning Models On Real Time Videos." International Journal of Advance Research and Innovative Ideas In Education 4, no. 1 (2021): 1190-1193.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable