Ranjith kumar Gatla

Employment

• Institute of Aeronautical Engineering Dean Research & Development and Associate Professor
  2021 - Present
• Wuhan University of Technology Teaching Assistant
  2017 - 2017
• Padmasri Dr BV Raju Institute of Technology Assistant Professor
  2015 - 2015
• Christu Jyothi Institute of Technology Assistant Professor
  2011 - 2015

Education

• Wuhan University of Technology Ph.D
  2015 - 2019
• SRM University M.Tech
  2009 - 2011
• Jawaharlal Nehru Technological University B.Tech
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (51)

• A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx
  Scientific Reports 2025 DOI: 10.1038/S41598-025-85156-2
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• Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach
  Scientific Reports 2025 DOI: 10.1038/s41598-025-86590-y
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• XAI-SkinCADx: A Six-Stage Explainable Deep Ensemble Framework for Skin Cancer Diagnosis and Risk-Based Clinical Recommendations
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3616738
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• SpinachXAI-Rec: a multi-stage explainable AI framework for spinach freshness classification and consumer recommendation
  Scientific Reports 2025 DOI: 10.1038/S41598-025-19804-Y
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• Multi stage sentiment analysis for product reviews on Twitter using optimized machine learning algorithm
  Scientific Reports 2025 DOI: 10.1038/S41598-025-23451-8
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• Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images
  Cognitive Computation 2025 DOI: 10.1007/S12559-025-10433-1
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• GeoDisasterAINet: An Explainable Deep Ensemble Framework for Real-Time Urban and Rural Disaster Classification and Resilience
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3574451
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• Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3532807
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• Dynamic Lissajous patterns for real time identification and localization of power quality disturbance
  Scientific Reports 2025 DOI: 10.1038/S41598-025-10218-4
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• Cyber-Resilient Detection of Power Quality Events With NSCT and PCA-SVM
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3562606
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