AIMC Topic: Moths

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Human Gait Analysis: A Sequential Framework of Lightweight Deep Learning and Improved Moth-Flame Optimization Algorithm.

Computational intelligence and neuroscience Jul 14, 2022
Human gait recognition has emerged as a branch of biometric identification in the last decade, focusing on individuals based on several characteristics such as movement, time, and clothing. It is also great for video surveillance applications. The ma...
Algorithms Animals Deep Learning Humans Neural Networks, Computer Machine Learning Gait Moths
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Reflectance spectroscopy and machine learning as a tool for the categorization of twin species based on the example of the Diachrysia genus.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 17, 2022
In our work we used noninvasive point reflectance spectroscopy in the range from 400 to 2100 nm coupled with machine learning to study scales on the brown and golden iridescent areas on the dorsal side of the forewing of Diachrysia chrysitis and D. s...
Animals Spectrum Analysis Moths Machine Learning
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An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning.

Sensors (Basel, Switzerland) Jan 6, 2021
Insect monitoring methods are typically very time-consuming and involve substantial investment in species identification following manual trapping in the field. Insect traps are often only serviced weekly, resulting in low temporal resolution of the ...
Neural Networks, Computer Computers Animals Deep Learning Insecta Moths
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Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot.

Sensors (Basel, Switzerland) Oct 21, 2019
The electroantennogram (EAG) is a technique used for measuring electrical signals from the antenna of an insect. Its rapid response time, quick recovery speed, and high sensitivity make it suitable for odour-tracking tasks employing mobile robots. Ho...
Arthropod Antennae Signal Processing, Computer-Assisted Odorants Moths Biosensing Techniques Robotics Noise Algorithms Animals Male
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Artificial intelligence reveals environmental constraints on colour diversity in insects.

Nature communications Oct 7, 2019
Explaining colour variation among animals at broad geographic scales remains challenging. Here we demonstrate how deep learning-a form of artificial intelligence-can reveal subtle but robust patterns of colour feature variation along an ecological gr...
Artificial Intelligence Temperature Color Biodiversity Genetic Variation Animals Phylogeny Deep Learning Species Specificity Skin Pigmentation Moths Insecta Climate Altitude
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Putting a bug in ML: The moth olfactory network learns to read MNIST.

Neural networks : the official journal of the International Neural Network Society Jun 4, 2019
We seek to (i) characterize the learning architectures exploited in biological neural networks for training on very few samples, and (ii) port these algorithmic structures to a machine learning context. The moth olfactory network is among the simples...
Smell Nerve Net Moths Support Vector Machine Reward Neural Networks, Computer Machine Learning Brain Computer Simulation Animals
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Analysis of the role of wind information for efficient chemical plume tracing based on optogenetic silkworm moth behavior.

Bioinspiration & biomimetics May 31, 2019
Many animals use olfactory information to search for feeding areas and other individuals in real time and with high efficiency. We focus on the chemical plume tracing (CPT) ability of male silkworm moths and investigate an efficient CPT strategy for ...
Algorithms Wind Animals Optogenetics Odorants Male Moths Robotics Models, Biological Flight, Animal
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Mapping the Potential Global Codling Moth (Cydia pomonella L.) Distribution Based on a Machine Learning Method.

Scientific reports Aug 30, 2018
The spread of invasive species may pose great threats to the economy and ecology of a region. The codling moth (Cydia pomonella L.) is one of the 100 worst invasive alien species in the world and is the most destructive apple pest. The economic losse...
Acclimatization Moths Introduced Species Machine Learning Animals Models, Biological
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Biocontrol potential of Halotolerant bacterial chitinase from high yielding novel Bacillus Pumilus MCB-7 autochthonous to mangrove ecosystem.

Pesticide biochemistry and physiology Sep 28, 2016
The multifaceted role of chitinase in medicine, agriculture, environmental remediation and various other industries greatly demands the isolation of high yielding chitinase producing microorganisms with improved properties. The current study aimed to...
Biological Control Agents RNA, Ribosomal, 16S Chitinases Disease Transmission, Infectious Fungicides, Industrial Moths Bacillus pumilus Wetlands Animals Soil Microbiology
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An improved quasi-steady aerodynamic model for insect wings that considers movement of the center of pressure.

Bioinspiration & biomimetics Jul 30, 2015
A quasi-steady aerodynamic model in consideration of the center of pressure (C.P.) was developed for insect flight. A dynamically scaled-up robotic hawkmoth wing was used to obtain the translational lift, drag, moment and rotational force coefficient...
Moths Aircraft Flight, Animal Models, Biological Wings, Animal Motion Animals Robotics Equipment Design Stress, Mechanical Pressure Computer Simulation Equipment Failure Analysis Shear Strength Biomimetics Rheology
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