AIMC Topic: Light

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Multi-year soundscape recordings and automated call detection reveals varied impact of moonlight on calling activity of neotropical forest katydids.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences May 6, 2024
Night-time light can have profound ecological effects, even when the source is natural moonlight. The impacts of light can, however, vary substantially by taxon, habitat and geographical region. We used a custom machine learning model built with the ...
Light Forests Vocalization, Animal Machine Learning Animals
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Novel candidate genes for environmental stresses response in Synechocystis sp. PCC 6803 revealed by machine learning algorithms.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] May 6, 2024
Cyanobacteria have developed acclimation strategies to adapt to harsh environments, making them a model organism. Understanding the molecular mechanisms of tolerance to abiotic stresses can help elucidate how cells change their gene expression patter...
Gene Expression Regulation, Bacterial Synechocystis Transcriptome Genes, Bacterial Computational Biology Stress, Physiological Bacterial Proteins Light Support Vector Machine Algorithms Gene Expression Profiling Machine Learning
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Real-Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow-Band Imaging Laryngoscopy with Deep Learning.

The Laryngoscope Jan 4, 2024
OBJECTIVE: To investigate the potential of deep learning for automatically delineating (segmenting) laryngeal cancer superficial extent on endoscopic images and videos.
Laryngeal Neoplasms Narrow Band Imaging Video Recording Laryngoscopy Male Middle Aged Deep Learning Light Female Aged Humans Retrospective Studies
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Surface and underwater human pose recognition based on temporal 3D point cloud deep learning.

Scientific reports Jan 2, 2024
Airborne surface and underwater human pose recognition are crucial for various safety and surveillance applications, including the detection of individuals in distress or drowning situations. However, airborne optical cameras struggle to achieve simu...
Deep Learning Light Movement Humans Neural Networks, Computer Drowning
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Phytochrome-Interacting Proteins.

Biomolecules Dec 21, 2023
Phytochromes are photoreceptors of plants, fungi, slime molds bacteria and heterokonts. These biliproteins sense red and far-red light and undergo light-induced changes between the two spectral forms, Pr and Pfr. Photoconversion triggered by light in...
Plants Bacterial Proteins Phytochrome Light Artificial Intelligence Signal Transduction
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Blackberry Fruit Classification in Underexposed Images Combining Deep Learning and Image Fusion Methods.

Sensors (Basel, Switzerland) Nov 30, 2023
Berry production is increasing worldwide each year; however, high production leads to labor shortages and an increase in wasted fruit during harvest seasons. This problem opened new research opportunities in computer vision as one main challenge to a...
Algorithms Deep Learning Rubus Light Fruit
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Skeletal muscle cells opto-stimulation by intramembrane molecular transducers.

Communications biology Nov 11, 2023
Optical stimulation and control of muscle cell contraction opens up a number of interesting applications in hybrid robotic and medicine. Here we show that recently designed molecular phototransducer can be used to stimulate C2C12 skeletal muscle cell...
Robotics Light Muscle Contraction Animals Electric Stimulation Muscle Fibers, Skeletal
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A framework for proactive safety evaluation of intersection using surrogate safety measures and non-compliance behavior.

Accident; analysis and prevention Sep 4, 2023
In recent years, identifying road users' behavior and conflicts at intersections have become an essential data source for evaluating traffic safety. According to the Federal Highway Administration (FHWA), in 2020, more than 50% of fatal and injury cr...
Light Engineering Algorithms Accidents, Traffic Humans Artificial Intelligence
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Tumor detection under cystoscopy with transformer-augmented deep learning algorithm.

Physics in medicine and biology Aug 7, 2023
Accurate tumor detection is critical in cystoscopy to improve bladder cancer resection and decrease recurrence. Advanced deep learning algorithms hold the potential to improve the performance of standard white-light cystoscopy (WLC) in a noninvasive ...
Humans Light Deep Learning Cystoscopy Urinary Bladder Neoplasms Urinary Bladder
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Detection of Missing Bolts for Engineering Structures in Natural Environment Using Machine Vision and Deep Learning.

Sensors (Basel, Switzerland) Jun 16, 2023
The development of an accurate and efficient method for detecting missing bolts in engineering structures is crucial. To this end, a missing bolt detection method that leveraged machine vision and deep learning was developed. First, a comprehensive d...
Engineering Laboratories Environment Deep Learning Light
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