AIMC Topic: Animals

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Identifying Novel Emotions and Wellbeing of Horses from Videos Through Unsupervised Learning.

Sensors (Basel, Switzerland)
This research applies unsupervised learning on a large original dataset of horses in the wild to identify previously unidentified horse emotions. We construct a novel, high-quality, diverse dataset of 3929 images consisting of five wild horse breeds ...

Modeling and control of a sperm-inspired robot with helical propulsion.

Bioinspiration & biomimetics
Efficient propulsion has been a central focus of research in the field of biomimetic underwater vehicles. Compared to the prevalent fish-like reciprocating flapping propulsion mode, the sperm-like helical propulsion mode features higher efficiency an...

Visual collective behaviors on spherical robots.

Bioinspiration & biomimetics
The implementation of collective motion, traditionally, disregard the limited sensing capabilities of an individual, to instead assuming an omniscient perception of the environment. This study implements a visual flocking model in a 'robot-in-the-loo...

Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression.

Journal of biomechanics
The purpose of this study was to investigate the utility of neural networks to estimate the hip joint center location in sheep and compare the accuracy of neural networks to previously developed linear regression models. CT scans from 16 sheep of var...

Advancing High-Throughput Cellular Atomic Force Microscopy with Automation and Artificial Intelligence.

ACS nano
Atomic force microscopy (AFM) has reached a significant level of maturity in biology, demonstrated by the diversity of modes for obtaining not only topographical images but also insightful mechanical and adhesion data by performing force measurements...

Design and mechanical analysis of a novel modular bionic earthworm robot with upright functionality.

Scientific reports
With the escalating demand for exploration within confined spaces, bionic design methodologies have attracted considerable attention from researchers, primarily due to the intrinsic limitations of human access to hazardous environments. However, cont...

Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots.

Scientific reports
Numerous studies have proven the potential of deep learning models for classifying wildlife. Such models can reduce the workload of experts by automating species classification to monitor wild populations and global trade. Although deep learning mode...

Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model.

Scientific reports
Various modelling techniques are available to understand the temporal and spatial variations of the phenology of species. Scientists often rely on correlative models, which establish a statistical relationship between a response variable (such as spe...

Prediction of dry matter intake in growing Black Bengal goats using artificial neural networks.

Tropical animal health and production
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to w...

Preliminary exploration of ChatGPT-4 shows the potential of generative artificial intelligence for culturally tailored, multilingual antimicrobial resistance awareness messaging.

American journal of veterinary research
OBJECTIVE: Antimicrobial resistance (AMR), a global threat driven by factors such as improper antimicrobial use in humans and animals, is projected to cause 10 million annual deaths by 2050. For behavior change, public health messages must be tailore...