AIMC Topic: Bees

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Hidden Markov model for acoustic pesticide exposure detection and hive identification in stingless bees.

PloS one Jun 18, 2025
Pollinator populations are declining globally at an unprecedented rate, driven by factors such as pathogens, habitat loss, climate change, and the widespread application of pesticides. Although colony losses remain difficult to prevent, precision bee...
Animals Acoustics Markov Chains Bees Chlorpyrifos Pesticides Hidden Markov Models
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Honeybee colony soundscapes: Decoding distance-based cues and environmental stressors.

Ecotoxicology and environmental safety Apr 28, 2025
Honey bees play a crucial role in agricultural productivity and ecological stability, yet their interactions with environmental stressors, particularly volatile organic compounds (VOCs) and pollutants, pose significant challenges to their cognitive f...
Acetone Acetates Sound Animals Bees Cues Volatile Organic Compounds Behavior, Animal Animal Communication
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Employing artificial bee and ant colony optimization in machine learning techniques as a cognitive neuroscience tool.

Scientific reports Mar 24, 2025
Higher education is essential because it exposes students to a variety of areas. The academic performance of IT students is crucial and might fail if it isn't documented to identify the features influencing them, as well as their strengths and shortc...
Animals Students Decision Trees Machine Learning Algorithms Cognitive Neuroscience Bees Ants Humans
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A machine learning approach fusing multisource spectral data for prediction of floral origins and taste components of Apis cerana honey.

Food research international (Ottawa, Ont.) Feb 25, 2025
This study explores the use of near-infrared (NIR), mid-infrared (MIR), and Raman spectral fusion for the rapid prediction of floral origins and main taste components in Apis cerana (A. cerana) honey. Feature-level fusion with the partial least squar...
Taste Flowers Sugars Bees Least-Squares Analysis Amino Acids Honey Spectroscopy, Near-Infrared Spectrum Analysis, Raman Machine Learning Animals
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Enhancing the decision optimization of interaction design in sustainable healthcare with improved artificial bee colony algorithm and generative artificial intelligence.

PloS one Feb 25, 2025
With the development of digital health, enhancing decision-making effectiveness has become a critical task. This study proposes an improved Artificial Bee Colony (ABC) algorithm aimed at optimizing decision-making models in the field of digital healt...
Humans Artificial Intelligence Generative Artificial Intelligence Algorithms Decision Making Delivery of Health Care Bees
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Identifying bee species origins of Philippine honey using X-ray fluorescence elemental analysis coupled with machine learning.

Food chemistry Feb 1, 2025
Stingless bee honey is emerging as a superfood, given its enhanced health and therapeutic benefits. In this paper, we used handheld X-ray fluorescence spectroscopy (hXRF) with machine learning techniques to classify Philippine honey based on its ento...
Spectrometry, X-Ray Emission Machine Learning Animals Honey Bees Philippines
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Insect-inspired passive wing collision recovery in flapping wing microrobots.

Bioinspiration & biomimetics Jan 24, 2025
Flying insects have developed two distinct adaptive strategies to minimize wing damage during collisions. One strategy includes an elastic joint at the leading edge, which is evident in wasps and beetles, while another strategy features an adaptive a...
Animals Robotics Biomechanical Phenomena Flight, Animal Wings, Animal Biomimetics Equipment Design Insecta Wasps Aircraft Bees
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Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis.

Journal of environmental management Jan 21, 2025
Honey bees (Apis mellifera) play an important role in our agricultural systems. In recent years, beekeepers have reported high colony mortality rates in several parts of the world. Inadequate foraging landscapes are often cited as a major factor dete...
Quebec Beekeeping Remote Sensing Technology Bees Pollination Machine Learning Animals
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Habitat Suitability Modelling for the Red Dwarf Honeybee (Apis florea (Linnaeus)) and Its Distribution Prediction Using Machine Learning and Cloud Computing.

Neotropical entomology Dec 17, 2024
Apis florea bees were recently identified in Egypt, marking the second occurrence of this species on the African continent. The objective of this study was to track the distribution of A. florea in Egypt and evaluate its potential for invasive behavi...
Animal Distribution Machine Learning Egypt Animals Bees Temperature Ecosystem
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Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN).

Scientific reports Oct 31, 2024
Heart disease is a complex and widespread illness that affects a significant number of people worldwide. Machine learning provides a way forward for early heart disease diagnosis. A classification model has been developed for the present study to pre...
Bees Algorithms Heart Diseases Humans Machine Learning
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