AIMC Topic: Bees

Clear Filters Showing 41 to 50 of 85 articles

Oscillations make a self-scaled model for honeybees' visual odometer reliable regardless of flight trajectory.

Journal of the Royal Society, Interface Sep 8, 2021
Honeybees foraging and recruiting nest-mates by performing the waggle dance need to be able to gauge the flight distance to the food source regardless of the wind and terrain conditions. Previous authors have hypothesized that the foragers' visual od...
Robotics Bees Flight, Animal Wind Animals
View on PubMed DOI

Can plants fool artificial intelligence? Using machine learning to compare between bee orchids and bees.

Plant signaling & behavior Jun 20, 2021
Bee orchids have long been an excellent example of how dishonest signal works in plant-animal interaction. Many studies compared the flower structures that resemble female bees, leading toward pseudo-copulation of the male bees on the flower. Using M...
Bees Artificial Intelligence Pollination Female Orchidaceae Image Processing, Computer-Assisted Biological Mimicry Animals Flowers Male
View on PubMed DOI

A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems.

Computational intelligence and neuroscience May 17, 2021
Particle swarm optimization (PSO) algorithm is a population-based intelligent stochastic search technique used to search for food with the intrinsic manner of bee swarming. PSO is widely used to solve the diverse problems of optimization. Initializat...
Animals Bees Problem Solving Neural Networks, Computer Algorithms Learning
View on PubMed DOI

Assessing the potential for deep learning and computer vision to identify bumble bee species from images.

Scientific reports Apr 7, 2021
Pollinators are undergoing a global decline. Although vital to pollinator conservation and ecological research, species-level identification is expensive, time consuming, and requires specialized taxonomic training. However, deep learning and compute...
Animals Ecosystem Deep Learning Neural Networks, Computer Artificial Intelligence Databases, Factual Pigmentation North America Pollination Conservation of Natural Resources Species Specificity Image Processing, Computer-Assisted Bees
View on PubMed DOI

Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning.

Food chemistry Jan 15, 2021
Identification of honey origin based on specific chemical markers is important for honey authentication. This study is aimed to differentiate Malaysian stingless bee honey from different entomological origins (Heterotrigona bakeri, Geniotrigona thora...
Honey Volatile Organic Compounds Bees Least-Squares Analysis Machine Learning Discriminant Analysis Animals Phylogeny Cluster Analysis Principal Component Analysis
View on PubMed DOI

Path Planning of Unmanned Autonomous Helicopter Based on Human-Computer Hybrid Augmented Intelligence.

Neural plasticity Jan 13, 2021
Unmanned autonomous helicopter (UAH) path planning problem is an important component of the UAH mission planning system. The performance of the automatic path planner determines the quality of the UAH flight path. Aiming to produce a high-quality fli...
Humans Artificial Intelligence Algorithms Flight, Animal Aircraft Computer Simulation Bees Animals Brain-Computer Interfaces
View on PubMed DOI

In silico prediction of chemical acute contact toxicity on honey bees via machine learning methods.

Toxicology in vitro : an international journal published in association with BIBRA Jan 11, 2021
In recent years, the decline of honey bees and the collapse of bee colonies have caught the attention of ecologists, and the use of pesticides is one of the main reasons for the decline. Therefore, ecological risk assessment of pesticides is essentia...
Quantitative Structure-Activity Relationship Lethal Dose 50 Toxicity Tests, Acute Bees Pesticides Machine Learning Computer Simulation Animals Risk Assessment Models, Theoretical
View on PubMed DOI

A bioinspired angular velocity decoding neural network model for visually guided flights.

Neural networks : the official journal of the International Neural Network Society Dec 28, 2020
Efficient and robust motion perception systems are important pre-requisites for achieving visually guided flights in future micro air vehicles. As a source of inspiration, the visual neural networks of flying insects such as honeybee and Drosophila p...
Motion Perception Visual Pathways Neural Networks, Computer Animals Insecta Virtual Reality Bees Neurons Flight, Animal
View on PubMed DOI

Reconfigurable Particle Swarm Robotics Powered by Acoustic Vibration Tweezer.

Soft robotics Nov 20, 2020
Inspired by natural swarms such as bees and ants, various types of swarm robotic systems have been developed to work together to complete tasks that transcend individual capabilities. Autonomous robots controlled by collective algorithm and colloidal...
Bees Algorithms Equipment Design Vibration Animals Acoustics Robotics
View on PubMed DOI

Cross Lingual Sentiment Analysis: A Clustering-Based Bee Colony Instance Selection and Target-Based Feature Weighting Approach.

Sensors (Basel, Switzerland) Sep 15, 2020
The lack of sentiment resources in poor resource languages poses challenges for the sentiment analysis in which machine learning is involved. Cross-lingual and semi-supervised learning approaches have been deployed to represent the most common ways t...
Supervised Machine Learning Bees Language Machine Learning Animals Algorithms Cluster Analysis
View on PubMed DOI
Popular Topics
Recent Journals