S Venkata Suryanarayana

Employment

• CVR College of Engineering Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• The Role of Transformers in Time Series Forecasting: A Comprehensive Survey of Existing Methodologies
  2026 IEEE International Conference on Emerging Computing and Intelligent Technologies Icoecit 2026 2026 DOI: 10.1109/ICoECIT68303.2026.11497370
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• A Comprehensive Review on Deep Learning Based Fall Detection in Elderly People
  2nd International Conference on Machine Learning and Autonomous Systems Icmlas 2025 Proceedings 2025 DOI: 10.1109/ICMLAS64557.2025.10968589
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• A TabNet-Based Deep Learning Framework for Predicting Uric Acid Elevation and Kidney Health Risks
  2nd Asian Conference on Intelligent Technologies Acoit 2025 2025 DOI: 10.1109/ACOIT66109.2025.11436965
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• Deep Neural Networks for Early Diabetes Mellitus Prediction
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-97-8836-1_11
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• Empowering Software Development with Machine Learning
  E3s Web of Conferences 2025 DOI: 10.1051/e3sconf/202561602023
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• Hybrid CNN-LSTM Model for Accurate Time Series Forecasting: A Deep Learning Approach
  Proceedings of International Conference on Sustainable Communication Networks and Application Icscn 2025 2025 DOI: 10.1109/ICSCN67106.2025.11308601
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• ODESMAN: Optimizing Decision-Making in Complex Environments: Integrating Neutrosophic and Fuzzy Logic for Advanced System Modeling
  International Journal of Neutrosophic Science 2024
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• Hybrid Sentiment Polarity Prediction Scheme in Social Networks using Attention Mechanism and Improved CNN
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-97-1724-8_24
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• ODESMAN: Optimizing Decision-Making in Complex Environments: Integrating Neutrosophic and Fuzzy Logic for Advanced System Modeling
  International Journal of Neutrosophic Science 2024 DOI: 10.54216/IJNS.240226
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• Survival Analysis of Heart Failure Patients with Advanced Machine Learning Models
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-97-1724-8_25
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