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Sunil C K, Ph.D.
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Sunil C K, Ph.D.
  • Home
  • Teaching
  • Publications
  • Research
  • Sports
  • Contact
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    • Home
    • Teaching
    • Publications
    • Research
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Publications

Journals

Google Scholar

  1.  Sunil C K, Anusha R, Raghavendra CK,  Dai G., (2025). A Multi-Scale Deep Learning Approach for Nutrient Deficiency Detection in Banana Plants Using Adaptive Feature Pooling. Neural Computing and Applications.  

Scopus/Cite Score:  11.7 


https://doi.org/10.1007/s00521-025-11726-0 


  1.  Raghavendra C K, Srikantaiah K C, and Sunil C K. (2025).. "Dual module-wider and deeper stochastic gradient descent and dropout based dense neural network for movie recommendation." Scientific Reports 

Scopus/SCIE/IF: 3.9

https://doi.org/10.1038/s41598-025-30776-x  


  1.  Dai G., Wang C., Tang Q., He L., Chen H., Sunil CK., & Dewi C. (2025). Aerial infrared thermal imaging transmission line defect detection methods incorporating explicit visual center structures. Measurement, 245, 116605.  

Scopus/SCIE/IF: 5.6 https://doi.org/10.1016/j.measurement.2024.116605 


  1. Anusha R and Sunil CK (2024) “Feature Integration for Frontal Gait Recognition through Contour Image Analysis", Signal, Image and Video Processing, Springer, Scopus/SCIE/IF: 2 .1

https://doi.org/10.1007/s11760-024-03655-7 


  1. Guowei Dai, Zhimin Tian, Jingchao Fan, Sunil CK, Christine Dewi (2024) “DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification ”, Computers and Electronics in Agriculture, Pages 108481, DOI: 10.1016/j.compag.2023.108481  Scopus/SCIE/IF: 8.9

https://doi.org/10.1016/j.compag.2023.108481 


  1. Sunil C K, Jaidhar C D, and Nagamma Patil, “Systematic study on Deep Learning-based plant disease detection or classification ”, Artificial Intelligence Review, Springer, Pages 1–98, DOI: 10.1007/s10462-023-10517-0 Scopus/SCI/SCIE/JCR/IF: 13.9

 https://doi.org/10.1007/s10462-023-10517-0 


  1. Sunil C K, Jaidhar C D, and Nagamma Patil (2023), “Tomato Plant Disease Classification using Multilevel Feature Fusion with Adaptive Channel Spatial and Pixel Attention Mechanism ”, Expert Systems With Applications, Elsevier, Volume:228, Pages 120381, DOI: 10.1016/j.eswa.2023.120381. Scopus/SCIE/IF: 7.5 

https://doi.org/10.1016/j.eswa.2023.120381 


  1. Sunil C K, Jaidhar C D, and Nagamma Patil (2021), “Cardamom plant disease detection approach using efficientNetV2 ”, IEEE Access, Volume: 10, Pages 789–804, DOI 10.1109/ACCESS.2021.3138920 

Scopus/SCIE/JCR/IF:3.9 


  1. Sunil C K, Jaidhar C D, and Nagamma Patil (2022), “Binary class and multi-class plant disease detection using ensemble deep learning-based approach ”, International Journal of Sustainable Agricultural Management and Informatics, Volume: 8, Issue: 4, Pages 385–407 DOI 10.1504/IJSAMI.2022.10050415. 

Scopus/ESCI/IF:1.8 

https://doi.org/10.1504/IJSAMI.2022.126802 

Conferences

  1. Sunil C K,  Swetha M D, Samarth K, Sanmathi S, Sudhanva B, and  Dai G. (2025), “A Comprehensive Review of Smart Agriculture: Integrating AI, IoT, and Precision Farming ”, 2025 International Conference on Emerging Technologies in Electronics and Green Energy (ICETEG)

DOI: 10.1109/ICETEG66194.2025.11473226 

  1. Swetha M D , Rajanishree M, Sunil C K, Rashmi S, Deepti C L, Gagana M  (2025), “Cardio Risk Prognostics Framework for Prediction and Analysis  ”, International Conference on Artificial Intelligence and Emerging Technologies (ICAIET)-IEEE DOI:10.1109/ICAIET65052.2025.11210990 

  2. Shashidhar S, Sunil C K, and Vineetha B (2024), “A Survey of Digital twins in Smart Farming Systems ”, The IEEE Conference on Engineering Informatics 2024 (ICEI 2024), will be held at IIT Dharwad, IIIT Dharwad, and KLE Tech, Hubli, India. From 26-28th November 2024. 

DOI: 10.1109/ICEI64305.2024.10912241 

  1. Udayini Vedantham, Nithish Chouti, Karan Naik, and Sunil C K (2024), “Heart Health Insights: Analysing Data and Visualising Predictive Factors for Cardiovascular Disease”, The IEEE Conference on Engineering Informatics 2024 (ICEI 2024), will be held at IIT Dharwad, IIIT Dharwad, and KLE Tech, Hubli, India. From 26-28th November 2024. DOI: 10.1109/ICEI64305.2024.10912220

  2. Savitri Kulkarni, Keerthi Ready, Sunil CK Shubhodeep Pal Shreekanth Dash, P Deepa Shenoy, and Venugopal K R (2023), “Coffee Plant Disease Identification using Enhanced Short Learning EfficientNetV2”, In 20th IEEE India Council Conference (INDICON 2023), held at CMRIT, Hydrabad, India. DOI: 10.1109/INDICON59947.2023.10440883 

  3. Sunil C K, Jaidhar C D, and Nagamma Patil (2020), “Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection”, In 15th IEEE International Conference on Industrial and Information Systems (ICIIS 2020), held at IIT Ropar, India. Pages 460–465, DOI 10.1109/ICIIS51140.2020.9342729 . Scopus and Core Rank C 

  4. Sunil C K, Sujan Reddy, Shashikantha G Kanber, Sandeep V R and Nagamma Patil (2023), “Comparative Analysis of Intrusion Detection System using ML and DL Techniques”, In 22nd International Conference on Hybrid Intelligent Systems (HIS 2022), Lecture Notes in Networks and Systems, vol 647. Springer, Cham. DOI:10.1007/978-3-031-27409-1 67. Scopus and Core Rank C   

https://doi.org/10.1007/978-3-031-27409-1_67 


  1. Nirmal Kedkar, Kotla Karthik Reddy, Hritwik Arya, Chinnahalli K Sunil, and Nagamma Patil (2023), “Vehicle Re-identification Using Convolutional Neural Network”, In 4th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML)-2023 held at NIT Rourkela, India. Lecture Notes in Networks and Systems, vol 660. Springer, Singapore.DOI: 10.1007/978-981-99-1203-2 35 Scopus 

https://doi.org/10.1007/978-981-99-1203-2_35 


  1. Akashdeep S, Akshith Nettar Mahalinga, Harshvardhan R, Chinnahalli K Sunil, and Nagamma Patil (2022), “Using stacking ensemble method for rental bike prediction”, In International Conference on Intelligent Computing Systems and Applications, held at NIT Silchar, India.

Scopus 

https://doi.org/10.1007/978-981-96-3860-4_3 

Book Chapters

  1. Sunil CK and Jaidhar CD (2024), “An Efficient Infectious Disease Detection in Plants Using Deep Learning”, In Intelligent Technologies: Concepts, Applications, and Future Directions, Volume: 3, Pages 55-74, DOI 10.1007/978-981-97-5204-1 3. Scopus  

https://doi.org/10.1007/978-981-97-5204-1_3 

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