output
20142024
most citedIn-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

176 citations

7 papers

eess.IV2024★ 176 cited

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

H. Fabelo, S. Ortega, A. Szolna +25

The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral alg…

cs.NI2022

On the implementation of an ETSI MEC using open source solutions

Fatma Raissi, Mandimby Nirina Ranaivo Rakotondravelona, Marwane El-Bekri +5

For autonomous vehicles to be fully aware of its environment, it needs to collect data consistently from other vehicles and Road Side Units (RSU) in the surroundings. This heavy ex…

astro-ph.SR2021★ 19 cited

Magnetic reconnection as a mechanism to produce multiple protonpopulations and beams locally in the solar wind

B. Lavraud, R. Kieokaew, N. Fargette +37

Context. Spacecraft observations early revealed frequent multiple proton populations in the solar wind. Decades of research on their origin have focused on processes such as magnet…

cs.LG2019★ 6 cited

Exploring applications of deep reinforcement learning for real-world autonomous driving systems

Victor Talpaert, Ibrahim Sobh, B Ravi Kiran +4

Deep Reinforcement Learning (DRL) has become increasingly powerful in recent years, with notable achievements such as Deepmind's AlphaGo. It has been successfully deployed in comme…

cs.CV2018★ 1 cited

Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps

B Ravi Kiran, Luis Roldão, Benat Irastorza +6

Lidar has become an essential sensor for autonomous driving as it provides reliable depth estimation. Lidar is also the primary sensor used in building 3D maps which can be used ev…

cs.RO2018★ 3 cited

A Statistical Update of Grid Representations from Range Sensors

Luis Roldão, Raoul De Charette, Anne Verroust-Blondet

In a wide range of robotic applications, being able to create a 3D model of the surrounding environment is a key feature for autonomous tasks. In this research report, we present a…

math.OC2014★ 3 cited

Energy-based modeling of electric motors

Al Kassem Jebai, Pascal Combes, François Malrait +2

We propose a new approach to model electrical machines based on energy considerations and construction symmetries of the motor. We detail the approach on the Permanent-Magnet Synch…