Dr. P S SUBHASHINI PEDALANKA

Employment

• RVR and JC College of Engineering PROFESSOR
  2001 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• A HYBRID CYBERSECURITY FRAMEWORK FOR SMART EV CLOUD SYSTEMS USING FUZZY LOGIC, MACHINE LEARNING, AND BLOCKCHAIN
  Journal of Theoretical and Applied Information Technology 2025
  +Save
• SMART VEHICLE CYBERSECURITY: IMPLEMENTING AN AUTONOMOUS AND ADAPTIVE INTRUSION RESPONSE SYSTEM
  Asean Engineering Journal 2025 DOI: 10.11113/aej.v15.24631
  +Save
• An Enhanced Deep Neural Network-Based Approach for Speaker Recognition Using Triumvirate Euphemism Strategy
  International Journal of Image and Graphics 2024 DOI: 10.1142/S0219467824500074
  +Save
• Cross B-HUB Based RNN with Random Aural-Feature Extraction for Enhanced Speaker Extraction and Speaker Recognition
  Wireless Personal Communications 2023 DOI: 10.1007/s11277-022-10096-3
  +Save
• Brain tumor classification based on deep CNN and modified butterfly optimization algorithm
  Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2023 DOI: 10.1080/21681163.2023.2219754
  +Save
• Mel Frequency Cepstral Coefficients based Bacterial Foraging Optimization with DNN-RBF for Speaker Recognition
  Indian Journal of Science and Technology 2021
  +Save
• Bacterial Foraging Optimized Parameters for ANN using Adaptive Harris Hawks Weight Optimization
  Proceedings of the 6th International Conference on Inventive Computation Technologies, ICICT 2021 2021 DOI: 10.1109/ICICT50816.2021.9358701
  +Save
• Classification of glaucoma Optical Coherence Tomography (OCT) images based on blood vessel identification using CNN and firefly optimization
  Traitement du Signal 2021 DOI: 10.18280/TS.380126
  +Save
• Mel Frequency Cepstral Coefficients based Bacterial Foraging Optimization with DNN-RBF for Speaker Recognition
  Indian Journal of Science and Technology 2021 DOI: 10.17485/IJST/V14I41.1858
  +Save
• Recognition using DNN with bacterial foraging optimization using MFCC coefficients
  Journal Europeen des Systemes Automatises 2021 DOI: 10.18280/JESA.540210
  +Save