19 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 19 cited
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization
Danish Gufran, Saideep Tiku, Sudeep Pasricha
Indoor localization is a critical task in many embedded applications, such as asset tracking, emergency response, and realtime navigation. In this article, we propose a novel finge…
cs.LG2023
CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization
Danish Gufran, Sudeep Pasricha
Indoor localization has become increasingly vital for many applications from tracking assets to delivering personalized services. Yet, achieving pinpoint accuracy remains a challen…
cs.AI2023★ 2 cited
VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization
Danish Gufran, Saideep Tiku, Sudeep Pasricha
Wi-Fi fingerprinting-based indoor localization is an emerging embedded application domain that leverages existing Wi-Fi access points (APs) in buildings to localize users with smar…