3 papers
eess.SP2025
ReVeal-MT: A Physics-Informed Neural Network for Multi-Transmitter Radio Environment Mapping
Mukaram Shahid, Kunal Das, Hadia Ushaq +7
Accurately mapping the radio environment (e.g., identifying wireless signal strength at specific frequency bands and geographic locations) is crucial for efficient spectrum sharing…
eess.SP2025
ReVeal: A Physics-Informed Neural Network for High-Fidelity Radio Environment Mapping
Mukaram Shahid, Kunal Das, Hadia Ushaq +7
Accurately mapping the radio environment (e.g., identifying wireless signal strength at specific frequency bands and geographic locations) is crucial for efficient spectrum sharing…
stat.ME2024
Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing
Kunal Das, Shan Yu, Guannan Wang +1
Accurately estimating data density is crucial for making informed decisions and modeling in various fields. This paper presents a novel nonparametric density estimation procedure t…