AIMC Topic: 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)...
Microbial Sensitivity Tests Reactive Oxygen Species Antifungal Agents Animals Biofilms Moths Antimicrobial Peptides Candida tropicalis Fluconazole Drug Resistance, Fungal
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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...
Animals Moths Insect Proteins Machine Learning Carrier Proteins Receptors, Odorant Algorithms
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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...
Algorithms Computer Simulation Biomechanical Phenomena Equipment Design Gait Models, Biological Animals Robotics Moths Biomimetics Locomotion
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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...
Moths Unmanned Aerial Devices Deep Learning Plant Leaves Oryza Plant Diseases Remote Sensing Technology Animals
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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...
Animals Butterflies Deep Learning Genomics Moths Phylogeny 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, ...
Female Bombyx Animals Odorants Smell Algorithms Male Moths Robotics
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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 Neural Networks, Computer X-Rays COVID-19 Humans Animals Deep Learning
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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...
Gait Moths Humans Algorithms Animals Deep Learning Neural Networks, Computer Machine Learning
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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...
Spectrum Analysis Machine Learning Moths Animals
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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 ...
Insecta Animals Moths Deep Learning Neural Networks, Computer Computers
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