Deepak Kumar

Orcid: 0000-0002-6282-8925

Affiliations:
  • Chitkara University, Chandigarh, India


According to our database1, Deepak Kumar authored at least 12 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CaiT-YOLOv9s-CBAM Deep Learning Model for Wheat Fungal Diseases: In-Depth Multifaceted Approach for Feature Refinement, Localization and Recognition.
SN Comput. Sci., March, 2026

2025
Impact of image segmentation and feature sets in automated plant disease classification: a comprehensive review based on wheat plant images.
Prog. Artif. Intell., December, 2025

2024
A novel hybrid segmentation technique for identification of wheat rust diseases.
Multim. Tools Appl., September, 2024

Image segmentation, classification, and recognition methods for wheat diseases: Two Decades' systematic literature review.
Comput. Electron. Agric., 2024

Crop Health Monitoring: YOLACT Deep Learning Model and Histogram Equalization for Enhanced Leaf Blight Detection.
Proceedings of the 7th International Conference on Contemporary Computing and Informatics, 2024

2023
Integrating YOLOv5 and Pretrained Models to Enhance Wheat Leaf Rust Disease Recognition.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Ensemble Deep Learning Using faster RCNN Model and Fuzzy rule System for Health Monitoring of Heritage Castles.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Boosting Crop Yield and Quality: Deep Learning-Based Multi-Classification of Wheat Eye Spot Disease.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Preserving Heritage Palaces: A Deep Learning CNN-SVM Hybrid Approach for Multi-classification.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Automated Tea Leaves Recognition: Multi-Classification Using YOLOv5 and Inception V3 Model.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Deep learning in wheat diseases classification: A systematic review.
Multim. Tools Appl., 2022

2021
DT-FNN based effective hybrid classification scheme for twitter sentiment analysis.
Multim. Tools Appl., 2021


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