Academic
🖋️ Handwritten Devanagari Script Recognition (2015)¶
- Objective: Build machine learning models to recognize handwritten characters in Devanagari script.
- Features: Provided pre-processed datasets, training scripts, and evaluation tools.
- Outcome: Enabled researchers and developers to explore character recognition efficiently.
- Academic Context: Bachelor's Project, GEC Goa.
📡 Total Electron Content (TEC) as a Seismic Precursor (2017)¶
- Objective: Use TEC data and Multi-Fractal Detrended Fluctuation Analysis (MFDFA) to identify seismic activities.
- Key Insights: Analyzed fractal patterns in ionospheric variations for early earthquake detection.
- Academic Context: Master's Project, GEC Goa & IIT Bombay.
🔄 Hybrid Evolutionary Optimization (HEO) of GANs (2019)¶
- Objective: Enhance GAN training using evolutionary algorithms.
- Key Contributions:
- HEO: Combined genetic algorithms with backpropagation for improved performance.
- Hybrid GAN: Leveraged MFDFA in the discriminator to generate images faster and more efficiently.
- 2D MFDFA: Integrated multifractal analysis for temporal and spatial data, refining GAN learning.
- Outcome: Improved convergence and high-quality image generation.
- Academic Context: PhD Project, NIT Goa.