AIMC Topic: Moths

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Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.

Scientific data Aug 6, 2025
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al...
Machine Learning Animals Austria Moths Butterflies Image Processing, Computer-Assisted Biodiversity Deep Learning
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Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China.

Scientific reports Jul 31, 2025
As a typical pest affecting corn yield and safety, corn borer causes serious economic losses worldwide. Climate warming has intensified the occurrence of pest outbreaks in recent years, but the associated risk has not been precisely assessed or under...
Machine Learning Algorithms Animals Cluster Analysis Zea mays Risk Assessment China Moths
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Antifungal activity and mechanism of novel peptide antimicrobial peptide (GmAMP) against fluconazole-resistant .

PeerJ May 20, 2025
BACKGROUND: There is a pressing need to create innovative alternative treatment approaches considering the overuse of antifungal drugs causes the number of clinically isolated fluconazole-resistant species to increase. antimicrobial peptide (GmAMP)...
Antifungal Agents Fluconazole Drug Resistance, Fungal Microbial Sensitivity Tests Reactive Oxygen Species Antimicrobial Peptides Candida tropicalis Moths Animals Biofilms
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Predicting phototaxis of almond moth, Cadra cautella (Walker) using ANN models: insights for wavelength and intensity as key factors.

Pest management science Mar 21, 2025
BACKGROUND: The almond moth, Cadra cautella (Walker), is a significant pest of stored products globally, causing severe damage and contamination. This insect was reported to have attraction towards light and this phenomenon can be exploited for its m...
Phototaxis Moths Insect Control Neural Networks, Computer Female Male Light Animals
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Insight into the Relationships Between Chemical, Protein and Functional Variables in the PBP/GOBP Family in Moths Based on Machine Learning.

International journal of molecular sciences Mar 5, 2025
During their lives, insects must cope with a plethora of chemicals, of which a few will have an impact at the behavioral level. To detect these chemicals, insects use several protein families located in their main olfactory organs, the antennae. Insi...
Insect Proteins Moths Receptors, Odorant Algorithms Animals Carrier Proteins Machine Learning
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Multibody system dynamics for bio-robotic design and simulation based on inching-locomotion caterpillar's gait: MBD-ILAR method.

Bioinspiration & biomimetics Dec 13, 2024
Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry features, that can be adapted to different environments, such as natural, man-made, or other planets. Therefore, this work defines a novel mathematical me...
Moths Equipment Design Gait Robotics Biomimetics Locomotion Computer Simulation Models, Biological Biomechanical Phenomena Algorithms Animals
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Monitoring the leaf damage by the rice leafroller with deep learning and ultra-light UAV.

Pest management science Sep 12, 2024
BACKGROUND: Rice leafroller is a serious threat to the production of rice. Monitoring the damage caused by rice leafroller is essential for effective pest management. Owing to limitations in collecting decent quality images and high-performing identi...
Plant Leaves Remote Sensing Technology Plant Diseases Moths Oryza Animals Deep Learning Unmanned Aerial Devices
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A novel method for identifying key genes in macroevolution based on deep learning with attention mechanism.

Scientific reports Nov 13, 2023
Macroevolution can be regarded as the result of evolutionary changes of synergistically acting genes. Unfortunately, the importance of these genes in macroevolution is difficult to assess and hence the identification of macroevolutionary key genes is...
Phylogeny Deep Learning Genomics Animals Butterflies Moths Biological Evolution
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Robust Moth-Inspired Algorithm for Odor Source Localization Using Multimodal Information.

Sensors (Basel, Switzerland) Jan 28, 2023
Odor-source localization, by which one finds the source of an odor by detecting the odor itself, is an important ability to possess in order to search for leaking gases, explosives, and disaster survivors. Although many animals possess this ability, ...
Odorants Smell Moths Male Female Bombyx Robotics Algorithms Animals
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COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization.

Frontiers in public health Aug 30, 2022
Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the lives of millions of people worldwide in the last 2 years. Because of the disease's rapid spread, it is critical to diagnose it at an early stage in order to redu...
Moths X-Rays COVID-19 Animals Humans Deep Learning Neural Networks, Computer
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