Miriyala Geetha Pratyusha

About

Managing Director of iNeuBytes

Employment

• INEUBYTES AIML Researcher
  2022 - Present

Education

• VELLORE INSTITUTE OF TECHNOLOGY Doctor of Philosophy
  2018 - 2026
• Koneru Lakshmaiah Education Foundation M.Tech
  2016 - 2018
• DMSSVH ECE
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Calibrated Margin-Weighted Soft Voting Ensemble for Early Diagnosis of Coronary Artery Disease
  2026 International Conference on Computing, Communication, Control and Cyber-Physical Systems (I5CPS) 2026 DOI: 10.1109/i5cps67958.2026.11452542
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• Enhanced CAD patient length of stay prediction using the Graph Neuro Boost model
  Connection Science 2026 DOI: 10.1080/09540091.2026.2692841
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• Precision Diagnosis of Coronary Artery Disease with OTLGBM
  Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 2025 DOI: 10.58346/jowua.2025.i1.014
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• OAS-XGB: An OptiFlect Adaptive Search Optimization Framework Using XGBoost to Predict Length of Stay for CAD Patients
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3613771
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• PSO-XnB: a proposed model for predicting hospital stay of CAD patients
  Frontiers in Artificial Intelligence 2024 DOI: 10.3389/frai.2024.1381430
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• GraLSTM: A distributed learning model for efficient IoT resource allocation in healthcare
  Smart Embedded Systems 2023
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• Managing concept drift in IoT health data streams: A dynamic adaptive weighted ensemble approach
  Smart Embedded Systems: Advances and Applications 2023 DOI: 10.1201/9781032628059-11
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• Voting Ensemble Learning Technique with Improved Accuracy for the CAD Diagnosis
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-19-5936-3_45
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• Diagnostic Analysis of Diabetes Mellitus Using Machine Learning Approach
  Revue d'Intelligence Artificielle 2022 DOI: 10.18280/ria.360301
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• A Review on Recent Machine Learning Algorithms Used in CAD diagnosis
  2021 10th International Conference on Information and Automation for Sustainability, ICIAfS 2021 2021 DOI: 10.1109/ICIAfS52090.2021.9605854
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