1 citations · 2 across the 4 of their papers we have counts for
4 papers
Predicting Train Delays in Finland Using Machine Learning and Weather Data
Vinicius Pozzobon Borin, Jean Michel de Souza Sant'Ana, Nurul Huda Mahmood
Reliable railway operations depend increasingly on real-time environmental intelligence delivered through wireless sensor infrastructures, a capability that 6G networks will substa…
Performance Analysis of LoRa and LR-FHSS in 3GPP LEO Satellite and HAPS Channel Scenarios for Remote Area IoT Coverage
Jean Michel de Souza Sant'Ana, Nurul Huda Mahmood, Vinicius Pozzobon Borin
In this paper, we analyze and compare the performance of LoRa and LR-FHSS in a remote area Internet-of-Things (IoT) connectivity scenario using a low-earth orbit (LEO) satellites a…
Integrating HAPS, LEO, and Terrestrial Networks: A Cost-Performance Study for IoT Connectivity
Jean Michel de Souza Sant'Ana, Felipe Augusto Tondo, Nurul Huda Mahmood +1
This work evaluates the potential of High-Altitude Platform Stations (HAPS) and Low Earth Orbit (LEO) satellites as alternative or complementary systems to enhance Internet of Thin…
FI-TW: An Open Train-Weather Dataset for Railway Delay Analysis in Finland
Vinicius Pozzobon Borin, Jean Michel de Souza Sant'Ana, Usama Raheel +1
Train delays result from complex interactions between operational, technical, and environmental factors. While weather impacts railway reliability, particularly in Nordic regions,…