Rakesh Singh Jadon

Orcid: 0000-0001-6951-2678

Affiliations:
  • Madhav Institute of Technology and Science, Gwalior, India


According to our database1, Rakesh Singh Jadon authored at least 14 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Correction: Characterization of Indian Visual Arts Architecture Ages and sub-ages using ML and Fuzzy-ML algorithms.
Multim. Tools Appl., February, 2024

2023
Characterization of Indian Visual Arts Architecture Ages and sub-ages using ML and Fuzzy-ML algorithms.
Multim. Tools Appl., April, 2023

2021
Recognition of 'yoga-asana' using bidirectional LSTM with CNN features.
Int. J. Arts Technol., 2021

2020
RUSDataBoost-IM: Improving Classification Performance in Imbalanced Data.
Proceedings of the Intelligent Data Engineering and Analytics, 2020

2019
Acoustic domain classification and recognition through ensemble based multilevel classification.
J. Ambient Intell. Humaniz. Comput., 2019

The art of domain classification and recognition for text conversation using support vector classifier.
Int. J. Arts Technol., 2019

Speech Recognition and System Controlling using Hindi Language.
Proceedings of the 10th International Conference on Computing, 2019

2018
An Insight into Rare Class Problem: Analysis and Potential Solutions.
J. Comput. Sci., 2018

Domain Classification of Textual Conversation Using Machine Learning Approach.
Proceedings of the 9th International Conference on Computing, 2018

2010
Intelligent Schemes for Indexing Digital Movies.
Proceedings of the Contemporary Computing - Third International Conference, 2010

2009
Movies genres classifier using neural network.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

2004
Sports Video Characterization Using Scene Dynamics.
Proceedings of the ICVGIP 2004, 2004

2002
Generic Video Classification: An Evolutionary Learning Based Fuzzy Theoretic Approach.
Proceedings of the ICVGIP 2002, 2002

2001
A fuzzy theoretic approach for video segmentation using syntactic features.
Pattern Recognit. Lett., 2001


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