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Deepak Kumar 0020
Person information
Other persons with the same name
- Deepak Kumar — disambiguation page
- Deepak Kumar 0001 — Mahidra-British Telecom Ltd., Pune, India
- Deepak Kumar 0002 — Bryn Mawr College, PA, USA
- Deepak Kumar 0003
— Indian Institute of Technology (BHU), Varanasi, India - Deepak Kumar 0004
— University of Western Australia, Crawley, WA, Australia (and 1 more) - Deepak Kumar 0005
— Sant Longowal Institute of Engineering and Technolog, Department of Mathematics, India - Deepak Kumar 0006
— University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA - Deepak Kumar 0007
— Amity University Uttar Pradesh, Amity Institute of Information Technology, Noida, India - Deepak Kumar 0008
— University of Massachusetts Dartmouth, Dartmouth, MA, USA - Deepak Kumar 0009
— University of Petroleum and Energy Studies, Dehradun, India
- Deepak Kumar 0010
— Birla Institute of Technology, Mesra, India - Deepak Kumar 0011
— Amity University Uttar Pradesh, Noida, India - Deepak Kumar 0012 — Raman Research Institute, Bangalore, India
- Deepak Kumar 0013
— State University of New York, Atmospheric Science Research Center (ASRC), Albany, NY, USA (and 2 more) - Deepak Kumar 0014
— Institute of Advanced Research, Gandhinagar, Gujarat, India (and 1 more) - Deepak Kumar 0015
— Johannes Kepler University of Linz, Linz, Austria (and 1 more) - Deepak Kumar 0016
— Samsung R&D Institute India - Bangalore, Bangalore, India - Deepak Kumar 0017
— Government Engineering College Munger, Munger, Bihar, India - Deepak Kumar 0018
— La Trobe University, Melbourne, Australia - Deepak Kumar 0019
— Czech Academy of Sciences, Prague, Czech Republic - Deepak Kumar 0021
![0000-0003-3482-7391 [0000-0003-3482-7391]](https://devdomain4test.ir/img/orcid-mark.12x12.png)
- Deepak Kumar 0022
![0000-0002-1028-5594 [0000-0002-1028-5594]](https://devdomain4test.ir/img/orcid-mark.12x12.png)
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2020 – today
- 2026
[j6]Deepak Kumar, Vinay Kukreja, Mohammed Al-Sarem, Vivek Bhardwaj
:
CaiT-YOLOv9s-CBAM Deep Learning Model for Wheat Fungal Diseases: In-Depth Multifaceted Approach for Feature Refinement, Localization and Recognition. SN Comput. Sci. 7(3): 274 (2026)- 2025
[j5]Deepak Kumar, Vinay Kukreja
:
Impact of image segmentation and feature sets in automated plant disease classification: a comprehensive review based on wheat plant images. Prog. Artif. Intell. 14(4): 451-504 (2025)- 2024
[j4]Deepak Kumar
, Vinay Kukreja
:
Image segmentation, classification, and recognition methods for wheat diseases: Two Decades' systematic literature review. Comput. Electron. Agric. 221: 109005 (2024)
[j3]Deepak Kumar
, Vinay Kukreja
, Amitoj Singh:
A novel hybrid segmentation technique for identification of wheat rust diseases. Multim. Tools Appl. 83(29): 72221-72251 (2024)
[c6]Naman Nayak, Deepak Kumar
, Abhiraj Malhotra:
Crop Health Monitoring: YOLACT Deep Learning Model and Histogram Equalization for Enhanced Leaf Blight Detection. IC3I 2024: 485-490- 2023
[c5]Naman Joshi, Deepak Kumar
, Vinay Kukreja
, Pradeepta Kumar Sarangi
:
Automated Tea Leaves Recognition: Multi-Classification Using YOLOv5 and Inception V3 Model. ICCCNT 2023: 1-6
[c4]Deepak Kumar
, Yash Kumar, Vinay Kukreja
, Shanmugasundram Hariharan, Bhawna Goyal, Aditya Verma:
Preserving Heritage Palaces: A Deep Learning CNN-SVM Hybrid Approach for Multi-classification. ICCCNT 2023: 1-5
[c3]Aaryan Sharma, Deepak Kumar
, Vinay Kukreja
:
Boosting Crop Yield and Quality: Deep Learning-Based Multi-Classification of Wheat Eye Spot Disease. ICCCNT 2023: 1-6
[c2]Sohail, Deepak Kumar
, Vinay Kukreja
:
Ensemble Deep Learning Using faster RCNN Model and Fuzzy rule System for Health Monitoring of Heritage Castles. ICCCNT 2023: 1-6
[c1]Yashu
, Deepak Kumar
, Vinay Kukreja
, Pradeepta Kumar Sarangi:
Integrating YOLOv5 and Pretrained Models to Enhance Wheat Leaf Rust Disease Recognition. ICCCNT 2023: 1-5- 2022
[j2]Deepak Kumar
, Vinay Kukreja
:
Deep learning in wheat diseases classification: A systematic review. Multim. Tools Appl. 81(7): 10143-10187 (2022)- 2021
[j1]Huma Naz
, Sachin Ahuja, Deepak Kumar
, Rishu
:
DT-FNN based effective hybrid classification scheme for twitter sentiment analysis. Multim. Tools Appl. 80(8): 11443-11458 (2021)
Coauthor Index

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last updated on 2026-06-18 00:24 CEST by the dblp team
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