📐 Configurable Custom Crop widget for Android
Tiny Face Detector, CVPR 2017
Invariant representation learning from imaging and spectral data
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis (CVPR 2023)
Scale-wise Convolution for Image Restoration
Tools (C/Matlab) for multifractal analysis of 1D (time-series) and 2D (images) signals
Numerical methods (C/Matlab) for multifractal singularity analysis of 1D (time-series) signals
taking k4 analytics into relevant places and domains. seed-bank language. human concepts. an un-collapsed research engine running in live suspension, not a set of tentative preprints auditioning for journal acceptance. solid math and physics bets for sardinia to adjucate.
wiener process.
Computer vision exercises
South-California earthquakes data analysis.
Features a real-time Streamlit Digital Twin dashboard, pre-trained USTT models, and a scale-invariant inference engine achieving 1ms latency for microgrid control.
This repository contains data, figures, and analysis supporting SymC Power Grid Optimization, which demonstrates predictive grid stability through scale-invariant substrate inheritance. Using synchrophasor data, the work shows early-warning precursors, irreversible degradation, and control protocols grounded in critical-damping physics.
Computational physics project studying scale invariance and critical dynamics in healthy human heart-rate fluctuations using PhysioNet data.
Applying convolutional neural networks with scale-invariant temporal/spatial history to speech and image datasets
Desktop application incorporating classical feature engineering techniques including SIFT features and corners detection.
High-performance C17 geometric anomaly detection engine with hyperspherical Bubble trees, Voronoi bisectors, continuous metric depth, and streaming CLI.
Shape Budget studies how normalized source separation governs geometry under fixed reach budgets. Starting from ellipse eccentricity as a “budget governor,” the repo develops experiments on asymmetry, anisotropy, and multi-source families, showing when compact control objects act as operational latent variables recoverable from boundary data.
An axiomatic 32-bit nested closed-loop logic framework for AI reasoning calibration, data protocol design, and biological homeostasis modeling.
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