Ravi Kurmvanshi

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Publications (15)

• A Static Sign Language Interpretation for Individuals with Hearing Impairment based on Deep CNN Framework
  2026 Innovations in Machine Engineering and Digital Conference Imed 2026 2026 DOI: 10.1109/IMED68921.2026.11484143
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• ATT-Based Deep Learning Framework for Security Enhancement in Wireless Powered Mobile Devices
  IEEE Wireless Communications Letters 2026 DOI: 10.1109/LWC.2026.3727299
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• DDPG-Enabled Accumulate-Then-Transmit Protocol for Interference-Assisted D2D-WPC Network Under Imperfect CSI
  IEEE Communications Letters 2026 DOI: 10.1109/LCOMM.2026.3735120
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• Analysis of REO mechanism in Ci 2 ER Protocol using DDPG algorithm
  2025 5th International Conference on Artificial Intelligence and Signal Processing (AISP) 2025 DOI: 10.1109/aisp68263.2025.11396246
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• Energy-Borrowing-Based Deep Learning Protocol to Enhance Bidirectional Data Rates in a UAV-Assisted WPC Network
  IEEE Internet of Things Journal 2025 DOI: 10.1109/JIOT.2025.3592842
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• An Improved DADE Algorithm for Engineering Application
  Conference Proceedings 2025 4th International Conference on Advances in Computing Communication Embedded and Secure Systems Access 2025 2025 DOI: 10.1109/ACCESS65134.2025.11135819
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• Analysis of ATT Protocol for IRS-assisted WPC Network: A DDPG Approach
  2025 5th International Conference on Artificial Intelligence and Signal Processing Aisp 2025 2025 DOI: 10.1109/AISP68263.2025.11396184
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• EBi2ET protocol for self-sustainable IRS-assisted bidirectional communication: A transfer learning approach
  PHYSICAL COMMUNICATION 2025 DOI: 10.1016/J.PHYCOM.2025.102807
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• Integrated Information and Energy Relaying Protocols for Cooperative Self-Sustainable Networks Using Deep Learning
  INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2025 DOI: 10.1002/DAC.70154
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• Non Linear EH Analysis in i2ER Network: A Transfer Learning Approach
  2025 IEEE 2nd International Conference on Information Technology Electronics and Intelligent Communication Systems Iciteics 2025 2025 DOI: 10.1109/ICITEICS64870.2025.11341266
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