3 papers
quant-ph2026
A QUBO Formulation for Nowhere-Zero -Flows
Ali Lotfi, Adam Carter, Mohammad Meysami +4
We consider the encoding of graph problems as Quadratic Unconstrained Binary Optimization (QUBO) problems, which are solvable by either quantum or classical annealers. Yet, the cla…
cs.CV2026
The Normalized Difference Layer: A Differentiable Spectral Index Formulation for Deep Learning
Ali Lotfi, Adam Carter, Mohammad Meysami +3
Normalized difference indices have been a staple in remote sensing for decades. They stay reliable under lighting changes produce bounded values and connect well to biophysical sig…
cs.CV2025
Interpretable Machine Learning-Derived Spectral Indices for Vegetation Monitoring
Ali Lotfi, Adam Carter, Thuan Ha +3
Spectral indices such as NDVI have driven vegetation monitoring for decades, yet their design remains largely manual and ad hoc. Their usefulness stems not only from their empirica…