Machine learning for active matter
The availability of large datasets has boosted the application of machine learning in many
fields and is now starting to shape active-matter research as well. Machine learning …
fields and is now starting to shape active-matter research as well. Machine learning …
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …
Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring
Monitoring animals in their natural habitat is essential for advancement of animal
behavioural studies, especially in pollination studies. Non-invasive techniques are preferred …
behavioural studies, especially in pollination studies. Non-invasive techniques are preferred …
Social networks predict the life and death of honey bees
In complex societies, individuals' roles are reflected by interactions with other conspecifics.
Honey bees (Apis mellifera) generally change tasks as they age, but developmental …
Honey bees (Apis mellifera) generally change tasks as they age, but developmental …
From dyads to collectives: a review of honeybee signalling
The societies of honeybees (Apis spp.) are microcosms of divided labour where the fitness
interests of individuals are so closely aligned that, in some contexts, the colony behaves as …
interests of individuals are so closely aligned that, in some contexts, the colony behaves as …
Automated monitoring and analyses of honey bee pollen foraging behavior using a deep learning-based imaging system
Pollen foraging efficiency provides vital information for the behavioral research on honey
bees. The pollen production of beehives can be measured by manually weighing the pollen …
bees. The pollen production of beehives can be measured by manually weighing the pollen …
Markerless tracking of an entire honey bee colony
From cells in tissue, to bird flocks, to human crowds, living systems display a stunning variety
of collective behaviors. Yet quantifying such phenomena first requires tracking a significant …
of collective behaviors. Yet quantifying such phenomena first requires tracking a significant …
A real-time imaging system for multiple honey bee tracking and activity monitoring
This study presents a real-time imaging system for monitoring honey bee activity by counting
the honey bees entering and exiting the beehive. Images are continuously acquired at the …
the honey bees entering and exiting the beehive. Images are continuously acquired at the …
The Caltech Fish Counting dataset: a benchmark for multiple-object tracking and counting
Abstract We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for
detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich …
detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich …
[图书][B] The sounds of life: How digital technology is bringing us closer to the worlds of animals and plants
K Bakker - 2022 - books.google.com
An amazing journey into the hidden realm of nature's sounds The natural world teems with
remarkable conversations, many beyond human hearing range. Scientists are using …
remarkable conversations, many beyond human hearing range. Scientists are using …