AI Medical Compendium Topic

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Animals, Wild

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Improved Monitoring of Wildlife Invasion through Data Augmentation by Extract-Append of a Segmented Entity.

Sensors (Basel, Switzerland)
Owing to the continuous increase in the damage to farms due to wild animals' destruction of crops in South Korea, various methods have been proposed to resolve these issues, such as installing electric fences and using warning lamps or ultrasonic wav...

Analysis of suction-based gripping strategies in wildlife towards future evolutions of the obstetrical suction cup.

Bioinspiration & biomimetics
The design of obstetrical suction cups used for vacuum assisted delivery has not substantially evolved through history despite of its inherent limitations. The associated challenges concern both the decrease of risk of soft tissue damage and failure ...

Effectiveness of an artificial intelligence-based system to curtail wind turbines to reduce eagle collisions.

PloS one
Operating wind-power projects often includes protecting volant wildlife. One method for doing this uses an automated system to detect, identify (through use of artificial intelligence; AI), track animals (targets) and curtail turbines when risk of a ...

An expert-based system to predict population survival rate from health data.

Conservation biology : the journal of the Society for Conservation Biology
Timely detection and understanding of causes for population decline are essential for effective wildlife management and conservation. Assessing trends in population size has been the standard approach, but we propose that monitoring population health...

Intelligent Detection Method for Wildlife Based on Deep Learning.

Sensors (Basel, Switzerland)
Wildlife is an important part of natural ecosystems and protecting wildlife plays a crucial role in maintaining ecological balance. The wildlife detection method for images and videos based on deep learning can save a lot of labor costs and is of gre...

Wildlife conservation using drones and artificial intelligence in Africa.

Science robotics
The use of drones and artificial intelligence may offer more reliable methods of counting populations and monitoring wildlife.

Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys.

PloS one
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine...

Deep learning to extract the meteorological by-catch of wildlife cameras.

Global change biology
Microclimate-proximal climatic variation at scales of metres and minutes-can exacerbate or mitigate the impacts of climate change on biodiversity. However, most microclimate studies are temperature centric, and do not consider meteorological factors ...

Predicting chronic wasting disease in white-tailed deer at the county scale using machine learning.

Scientific reports
Continued spread of chronic wasting disease (CWD) through wild cervid herds negatively impacts populations, erodes wildlife conservation, drains resource dollars, and challenges wildlife management agencies. Risk factors for CWD have been investigate...