A cloud simulation library based on cloudsim, it aims to provide all known cloud scheduling algorithms with the help from community developers, as well as automate various simulation scenarios.
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Updated
Jul 11, 2021 - Java
A cloud simulation library based on cloudsim, it aims to provide all known cloud scheduling algorithms with the help from community developers, as well as automate various simulation scenarios.
Animal behavior based on agents simulation
Building Operating Smart System
Content management micro-framework based on Honeylex CQRS & ES framework
Layout Optimization for Wireless Sensor Networks Using Honey Bee Colony Optimization
Honeybee CQRS & ES integration with the Silex framework
Repo for buzz-based honey bee ML models in task of anomaly detection.
Bee Health Monitor project
Apicast acquires bee flight forecast information published by Deutscher Wetterdienst (DWD)
A d3 visualization of the numbers of bees needed to grow major US crops
A monitoring system for beehives to measure the temperature, humidity, weight of the hive and carbon monoxide gas level inside the beehive and send the sensed data to the beekeepers through messaging services.
Annotated map of native honey bee distribution
Visualization of US agricultural dependence on honey bees and their declining health status.
Implementing a Machine Learning Approach for the understanding of dance behaviour in honeybee foragers.
In this project, data of honeybee species based on climatic conditions was taken and basic concepts of Reinforcement Learning were used to maximize the yield.
Experiments to create a honeybee to IFC converter
Modular honeybee simulation scaffold in five typed layers — BeeBody (FlyBody locomotion), BeeBrain (odor and waggle-dance decoding), BeeMind (active inference policy selection), BeeSwarm (MuJoCo colony physics, pheromones), BeeNiche (comb, thermals, foraging) — with curated empirical datasets and pytest coverage gates.
Analysis of summer nurse & forager and winter honey bee fat body and flight muscle transcriptomes
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