AIMC Topic: Animals

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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.

Mechanical intelligence simplifies control in terrestrial limbless locomotion.

Science robotics
Limbless locomotors, from microscopic worms to macroscopic snakes, traverse complex, heterogeneous natural environments typically using undulatory body wave propagation. Theoretical and robophysical models typically emphasize body kinematics and acti...

Hybrid grey assisted whale optimization based machine learning for the COVID-19 prediction.

Computer methods in biomechanics and biomedical engineering
Recently, COVID-19 (coronavirus) has been a huge influence on the socio and economic field. COVID-19 cases are seriously increasing day-day and also don't identified proper vaccine for COVID-19. Hence, COVID-19 is fast spreading virus and it causes m...

Characterization and bioactivities of coffee husks extract encapsulated with polyvinylpyrrolidone.

Food research international (Ottawa, Ont.)
Coffee processing generates large amounts of residues of which a portion still has bioactive properties due to their richness in phenolic compounds. This study aimed to obtain a coffee husks extract (CHE) and to encapsulate it (ECHE) with polyvinylpy...

Towards safer imaging: A comparative study of deep learning-based denoising and iterative reconstruction in intraindividual low-dose CT scans using an in-vivo large animal model.

European journal of radiology
PURPOSE: Computed tomography (CT) scans are a significant source of medically induced radiation exposure. Novel deep learning-based denoising (DLD) algorithms have been shown to enable diagnostic image quality at lower radiation doses than iterative ...

Impact of a pneumatic surgical robot with haptic feedback function on surgical manipulation.

Scientific reports
Although robotic-assisted surgery has the advantages of low patient burden and high precision without unsteady hand movements, the lack of tactile sensations may result in unexpected iatrogenic organ damage. The Saroa (Riverfield Inc., Tokyo, Japan) ...

A machine learning approach for quantifying age-related histological changes in the mouse kidney.

GeroScience
The ability to quantify aging-related changes in histological samples is important, as it allows for evaluation of interventions intended to effect health span. We used a machine learning architecture that can be trained to detect and quantify these ...

A deep-learning approach for identifying prospective chemical hazards.

Toxicology
With the aim of helping to set safe exposure limits for the general population, various techniques have been implemented to conduct risk assessments for chemicals and other environmental stressors; however, none of these tools facilitate the identifi...

DROD: bio-robotic drill/sampler for planetary subterranean exploration: experiments and challenges.

Bioinspiration & biomimetics
Key features for space exploration equipment, and in particular drills and sampling mechanisms, are low weight, small size, and energy efficiency. These characteristics are substantially required not only in reducing the spaceship flight cost, but al...