Ashish Kumar

Orcid: 0000-0003-3466-8845

Affiliations:
  • Bennett University, School of Computer Science Engineering and Technology, Greater Noida, Uttar Pradesh, India
  • Bharati Vidyapeeth's College of Engineering, New Delhi, India
  • Delhi Technological University, Computer Science and Engineering Department, India


According to our database1, Ashish Kumar authored at least 14 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Analysis of recent techniques in marine object detection: a review.
Multim. Tools Appl., June, 2025

PolyNet-FractalNet deep feature fusion framework with modified spider monkey optimization for multi-modal biometric recognition.
Evol. Syst., June, 2025

FedBlocks: federated learning and blockchainbased privacy-preserved pioneering framework for IoT healthcare using IPFS in web 3.0 era.
Clust. Comput., April, 2025

Advances in DeepFake detection algorithms: Exploring fusion techniques in single and multi-modal approach.
Inf. Fusion, 2025

2024
A Deep Recurrent Neural Network for Plant Disease Classification.
SN Comput. Sci., December, 2024

Feature-adaptive FPN with multiscale context integration for underwater object detection.
Earth Sci. Informatics, December, 2024

Correlation filter based single object tracking: A review.
Inf. Fusion, 2024

2023
Explaining sentiment analysis results on social media texts through visualization.
Multim. Tools Appl., June, 2023

2020
Unified Graph-Based Multicue Feature Fusion for Robust Visual Tracking.
IEEE Trans. Cybern., 2020

Robust object tracking with crow search optimized multi-cue particle filter.
Pattern Anal. Appl., 2020

Real-time visual tracking via multi-cue based adaptive particle filter framework.
Multim. Tools Appl., 2020

Robust object tracking based on adaptive multicue feature fusion.
J. Electronic Imaging, 2020

Recent trends in multicue based visual tracking: A review.
Expert Syst. Appl., 2020

A novel approach for multi-cue feature fusion for robust object tracking.
Appl. Intell., 2020


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