activity
20232026
most citedMulti-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge

79 citations · 82 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

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…

eess.SP2026

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…

cs.LG2026★ 1 cited

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,…

cs.NI2024★ 2 cited

LR-FHSS-Sim: A Discrete-Event Simulator for LR-FHSS Networks

Jean Michel de Souza Sant Ana, Arliones Hoeller, Hirley Alves +1

This work presents the LR-FHSS-Sim, a free and open-source discrete-event simulator for LR-FHSS networks. We highlight the importance of network modeling for IoT coverage, especial…

eess.SP2023★ 79 cited

Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge

Eslam Eldeeb, Jean Michel de Souza Sant'Ana, Dian Echevarría Pérez +3

In many emerging Internet of Things (IoT) applications, the freshness of the is an important design criterion. Age of Information (AoI) quantifies the freshness of the received inf…