Michele Magno

Study reveals energy-efficient human activity recognition using spiking neural networks in wearables.

A look at how small drones work together for effective mapping.

Examining how surface reflectivity affects sensor performance in autonomous vehicles.

NanoSLAM empowers small drones to map and navigate autonomously and efficiently.

Low-power radar systems show promise for enhancing autonomous racing technologies.

A new earbud design improves sound clarity using bone conduction technology.

Radar technology enables comfortable, safe monitoring of heart and breathing rates.

An overview of body-area capacitive sensing technology and its diverse applications.

SynPF algorithm shows promise for reliable vehicle localization in challenging racing conditions.

Combining camera and radar data enhances 3D object detection for self-driving vehicles.

A new method using electric fields enhances step counting accuracy.

Improving activity recognition through local learning and new sensor technologies.

A study on how different encoding methods affect SNN performance in recognizing activities.

i-CardiAx is a wearable device for early sepsis detection through continuous vital sign monitoring.

Wearable devices and algorithms aim to detect sepsis earlier for better patient care.

A new method enhances BCI performance by adapting to individual brain signals.

Learn how low-bit quantization improves the efficiency of large language models.

A new method helps racing cars assess tire performance instantly during races.

Nano-drones are evolving with innovative ultrasonic technology for better navigation.