Sudarshana Kerenalli

Employment

• GITAM School of Technology Research Scholar
  2020 - Present
• Alva's Institute of Engineering and Technology Senior Asst Professor
  2010 - 2020
• Kalpataru Institute of Technology Lecturer
  2009 - 2010

Education

• Sri Jayachamarajendra College of Engineering M Tech
  2007 - 2009
• Bapuji Institute of Engineering and Technology BE
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Heart CAP
  Kerenalli Sudarshana, Vamsidhar Yendapalli, D. K. SanthoshKumar
  Predictive Methods in Next‐Generation Computing 2026 DOI: 10.1002/9781394248827.ch8
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• UAM-Net: Robust Deepfake Detection Through Hybrid Attention Into Scalable Convolutional Network
  Kerenalli Sudarshana, Vamsidhar Yendapalli
  Expert Systems 2025 DOI: 10.1111/exsy.70009
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• CADFRA: Coronary Artery Disease Feature Reduction with Autoencoder for Optimistic and Effective Classification
  Kerenalli Sudarshana, Vamsidhar Yendapalli, L. Kamala

  +2 more

  • Thanveer Habeeb Sardar
  • Zameer Ahmed Adhoni
  2024 DOI: 10.1007/978-3-031-69982-5_15
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• UAM-Net: Unified Attention EfficientNet for Robust Deepfake Detection
  Research Square 2024 DOI: 10.21203/rs.3.rs-4728068/v1
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• Classification of Deepfake Images Using a Novel Explanatory Hybrid Model
  Kerenalli Sudarshana, Vamsidhar Yendapalli, M.C. Chinnaiah
  Commit Journal 2023 DOI: 10.21512/commit.v17i2.8761
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• Classification of Credit Card Frauds Using Autoencoded Features
  Kerenalli Sudarshana, C. Mylarareddy, Zameer Ahmed Adhoni
  Intelligent Computing and Applications 2023 DOI: 10.1007/978-981-19-4162-7_2
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• Fake Face Image Classification by Blending the Scalable Convolution Network and Hierarchical Vision Transformer
  Kerenalli Sudarshana, Vamsidhar Yendapalli, C. Mylarareddy
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-8563-8_12
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• An effective feature descriptor method to classify plant leaf diseases using Extreme Gradient Boost
  Journal of Integrated Science and Technology 2022
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• Deep-Auto Encoders for Detecting Credit Card Fraud
  Kerenalli Sudarshana, Mylara C. Reddy, A. Usha Ruby
  2022 DOI: 10.4018/978-1-7998-8754-6.ch017
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• Recent trends in deepfake detection
  Kerenalli Sudarshana, C. Mylarareddy
  Deep Natural Language Processing and AI Applications for Industry 5 0 2021 DOI: 10.4018/978-1-7998-7728-8.ch001
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• A Novel Disease Divination System Using Field Data
  Kerenalli Sudarshana, Harshitha Ko, Pooja TS

  +2 more

  • Pooja Ramdas
  • Sam Hegde
  Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019 2019 DOI: 10.2139/ssrn.3462975
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• A new automated medicine prescription system for plant diseases
  S. Sachin, Kerenalli Sudarshana, R. Roopalakshmi

  +3 more

  • Suraksha
  • C. N. Nayana
  • D. S. Deeksha
  Lecture Notes in Computational Vision and Biomechanics 2019 DOI: 10.1007/978-3-030-00665-5_18
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• Drifting Approach for Energy Consumption in Wireless Sensor Networks
  International Journal of Application or Innovation in Engineering & Management 2017
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• Multi-Channel Multi-Path Video Transmission over Wireless Sensor Networks Using ACDP Technique
  International Journal of Computer Science and Mobile Computing 2014
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