AIMC Topic: Bees

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Abdominal-Waving Control of Tethered Bumblebees Based on Sarsa With Transformed Reward.

IEEE transactions on cybernetics Jun 22, 2018
Cyborg insects have attracted great attention as the flight performance they have is incomparable by micro aerial vehicles and play a critical role in supporting extensive applications. Approaches to construct cyborg insects consist of two major issu...
Bees Machine Learning Algorithms Cybernetics Reward Animals Markov Chains
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Robotic bees for crop pollination: Why drones cannot replace biodiversity.

The Science of the total environment Jun 14, 2018
The notion that robotic crop pollination will solve the decline in pollinators has gained wide popularity recently (Fig. 1), and in March 2018 Walmart filed a patent for autonomous robot bees. However, w present six arguments showing that this is a t...
Animals Ecosystem Robotics Bees Crops, Agricultural Pollination Aircraft Biodiversity
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Automated computer-based detection of encounter behaviours in groups of honeybees.

Scientific reports Dec 15, 2017
Honeybees form societies in which thousands of members integrate their behaviours to act as a single functional unit. We have little knowledge on how the collaborative features are regulated by workers' activities because we lack methods that enable ...
Software Automation, Laboratory Animals Machine Learning Behavior, Animal Data Curation Social Behavior Diagnosis, Computer-Assisted Bees
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A lightweight, inexpensive robotic system for insect vision.

Arthropod structure & development Sep 1, 2017
Designing hardware for miniaturized robotics which mimics the capabilities of flying insects is of interest, because they share similar constraints (i.e. small size, low weight, and low energy consumption). Research in this area aims to enable robots...
Models, Biological Insecta Bees Animals Robotics Vision, Ocular
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Optimal Parameter Selection for Support Vector Machine Based on Artificial Bee Colony Algorithm: A Case Study of Grid-Connected PV System Power Prediction.

Computational intelligence and neuroscience Aug 22, 2017
Predicting the output power of photovoltaic system with nonstationarity and randomness, an output power prediction model for grid-connected PV systems is proposed based on empirical mode decomposition (EMD) and support vector machine (SVM) optimized ...
Biomimetics Animals Bees Forecasting Computer Systems Support Vector Machine Weather
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A robotic system for researching social integration in honeybees.

PloS one Aug 9, 2017
In this paper, we present a novel robotic system developed for researching collective social mechanisms in a biohybrid society of robots and honeybees. The potential for distributed coordination, as observed in nature in many different animal species...
Interpersonal Relations Animal Communication Cooperative Behavior Equipment Design Animals Algorithms Bees Robotics Behavior, Animal
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Computational intelligence applied to discriminate bee pollen quality and botanical origin.

Food chemistry Jun 3, 2017
The aim of this work was to develop computational intelligence models based on neural networks (NN), fuzzy models (FM), and support vector machines (SVM) to predict physicochemical composition of bee pollen mixture given their botanical origin. To ob...
Animals Support Vector Machine Bees Pollen Plants Neural Networks, Computer
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Honey bee hairs and pollenkitt are essential for pollen capture and removal.

Bioinspiration & biomimetics Mar 23, 2017
While insect grooming has been observed and documented for over one hundred years, we present the first quantitative analysis of this highly dynamic process. Pollinating insects, like honey bees, purposely cover themselves with millions of pollen par...
Adhesiveness Pollen Hair Grooming Video Recording Viscosity Bees Animals Pollination Biomimetic Materials Robotics
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Insect Bio-inspired Neural Network Provides New Evidence on How Simple Feature Detectors Can Enable Complex Visual Generalization and Stimulus Location Invariance in the Miniature Brain of Honeybees.

PLoS computational biology Feb 3, 2017
The ability to generalize over naturally occurring variation in cues indicating food or predation risk is highly useful for efficient decision-making in many animals. Honeybees have remarkable visual cognitive abilities, allowing them to classify vis...
Computer Simulation Animals Biomimetics Bees Models, Neurological Neural Networks, Computer Brain Pattern Recognition, Visual Pattern Recognition, Automated Nerve Net
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A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps.

Computational intelligence and neuroscience May 17, 2016
As one of the most recent popular swarm intelligence techniques, artificial bee colony algorithm is poor at exploitation and has some defects such as slow search speed, poor population diversity, the stagnation in the working process, and being trapp...
Bees Computer Simulation Artificial Intelligence Social Behavior Algorithms Animals Models, Biological
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