12 citations · 12 across the 1 of their papers we have counts for
4 papers
Tracking droplets in soft granular flows with deep learning techniques
Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3
The state-of-the-art deep learning-based object recognition YOLO algorithm and object tracking DeepSORT algorithm are combined to analyze digital images from fluid dynamic simulati…
A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions
Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3
We present a deep learning-based object detection and object tracking algorithm to study droplet motion in dense microfluidic emulsions. The deep learning procedure is shown to cor…
Collective olfactory search in a turbulent environment
Mihir Durve, Lorenzo Piro, Massimo Cencini +2
Finding the distant source of an odor dispersed by a turbulent flow is a vital task for many organisms, either for foraging or for mating purposes. At the level of individual searc…
Learning to flock through reinforcement
Mihir Durve, Fernando Peruani, Antonio Celani
Flocks of birds, schools of fish, insects swarms are examples of coordinated motion of a group that arises spontaneously from the action of many individuals. Here, we study flockin…