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
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…
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…