Prakash Ramachandran

Employment

• VIT University AP-SG
  2006 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• Novel multistage deep convolution neural network-based Parkinson’s disease detection and severity grading of running speech using LSF spectrums for detection and STFT spectrums for grading
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.106642
  +Save
• Comparative analysis of different time-frequency image representations for the detection and severity classification of dysarthric speech using deep learning
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.104561
  +Save
• A GPSR-Based Sparse ECG Signal Recovery Approach for Hybrid Compressive Sensing Framework and Its Classification Using Deep Convolution Neural Network
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3560544
  +Save
• Intelligent Energy Management across Smart Grids Deploying 6G IoT, AI, and Blockchain in Sustainable Smart Cities
  IoT 2024 DOI: 10.3390/iot5030025
  +Save
• Compressive Wavelet Domain Deep CNN for Image Classification Using Genetic Algorithm Based Sensing Mask Learning
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3264605
  +Save
• Implementation of Deep Learning Algorithm on a Custom Dataset for Advanced Driver Assistance Systems Applications
  Applied Sciences 2022 DOI: 10.3390/app12188927
  +Save
• Review on Compressive Sensing Algorithms for ECG Signal for IoT Based Deep Learning Framework
  Applied Sciences 2022 DOI: 10.3390/app12168368
  +Save
• Compressive Domain Deep CNN for Image Classification and Performance Improvement Using Genetic Algorithm-Based Sensing Mask Learning
  Applied Sciences 2022 DOI: 10.3390/app12146881
  +Save
• A Comparative Study of Various Classification Techniques to Determine Water Quality
  Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2018 2018 DOI: 10.1109/ICICCT.2018.8473168
  +Save
• Control of antenna azimuth position using fractional order lead compensator
  International Journal of Engineering and Technology(UAE) 2018 DOI: 10.14419/ijet.v7i2.24.12023
  +Save