AIMC Topic: Animals

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Teaching deep networks to see shape: Lessons from a simplified visual world.

PLoS computational biology Nov 11, 2024
Deep neural networks have been remarkably successful as models of the primate visual system. One crucial problem is that they fail to account for the strong shape-dependence of primate vision. Whereas humans base their judgements of category membersh...
Visual Perception Animals Deep Learning Computational Biology Vision, Ocular Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Multimodal fish maw type recognition based on Wasserstein generative adversarial network combined with gradient penalty and spectral fusion.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 10, 2024
There are many types of fish maw with significantly varying prices. The specific type directly affects its market value and medicinal efficacy. This paper proposes a fish maw type recognition method based on Wasserstein generative adversarial network...
Neural Networks, Computer Female Animals Algorithms Spectrum Analysis, Raman Male Fishes Spectroscopy, Near-Infrared
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IoT based healthcare system using fractional dung beetle optimization enabled deep learning for breast cancer classification.

Computational biology and chemistry Nov 10, 2024
Breast cancer classification plays a crucial role in healthcare, especially in the diagnosis and monitoring of patients. Traditional methods for classifying breast cancer based on histopathological images often suffer from limited accuracy, which can...
Internet of Things Coleoptera Humans Animals Breast Neoplasms Female Deep Learning
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Simultaneous monitoring of two comprehensive quality evaluation indexes of frozen-thawed beef meatballs using hyperspectral imaging and multi-task convolutional neural network.

Meat science Nov 10, 2024
The quality of beef meatballs during repeated freeze-thaw (F-T) cycles was assessed by multiple indicators. This study introduced a novel quality evaluation method using hyperspectral imaging (HSI) and multi-task learning. Seventeen quality indicator...
Cattle Red Meat Meat Products Food Quality Animals Hyperspectral Imaging Freezing Quality Control Neural Networks, Computer
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TSOM: Small object motion detection neural network inspired by avian visual circuit.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2024
Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian visual system is capable of processing motion information in various ...
Superior Colliculi Photic Stimulation Motion Perception Visual Pathways Neurons Columbidae Animals Birds Retina Neural Networks, Computer Algorithms
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Hyperspectral imaging and deep learning for parasite detection in white fish under industrial conditions.

Scientific reports Nov 9, 2024
Parasites in fish muscle present a significant problem for the seafood industry in terms of both quality and health and safety, but the low contrast between parasites and fish tissue makes them exceedingly difficult to detect. The traditional method ...
Deep Learning Fish Diseases Fishes Animals Food Parasitology Hyperspectral Imaging Nematoda Seafood
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Performance of expert fuzzy systems for prediction of rabbit feed intake after weaning.

Tropical animal health and production Nov 9, 2024
The postweaning phase is stressful for rabbits due to maternal separation and the introduction of solid feed. Stress can be aggravated when animals are subjected to thermal discomfort. Therefore, thermal variables, such as air temperature, which infl...
Animal Feed Weaning Rabbits Eating Temperature Female Animals Animal Husbandry Male Fuzzy Logic
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Machine learning-based rational design for efficient discovery of allatostatin analogs as promising lead candidates for novel IGRs.

Pest management science Nov 8, 2024
BACKGROUND: Insect neuropeptide allatostatins (ASTs) play a vital role in regulating insect growth, development, and reproduction, making them potential candidates for new insect growth regulators (IGRs). However, the practical use of natural ASTs in...
Machine Learning Structure-Activity Relationship Neuropeptides Juvenile Hormones Drug Design Drug Discovery Animals
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A bio-inspired visual collision detection network integrated with dynamic temporal variance feedback regulated by scalable functional countering jitter streaming.

Neural networks : the official journal of the International Neural Network Society Nov 8, 2024
In pursuing artificial intelligence for efficient collision avoidance in robots, researchers draw inspiration from the locust's visual looming-sensitive neural circuit to establish an efficient neural network for collision detection. However, existin...
Neurons Visual Perception Grasshoppers Animals Artificial Intelligence Robotics Neural Networks, Computer Feedback
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Milk adulteration identification using hyperspectral imaging and machine learning.

Journal of dairy science Nov 8, 2024
Milk adulteration poses a global concern, with developing countries facing higher risks due to unsatisfactory monitoring systems and policies. Surprisingly, this common issue has often been overlooked in many countries. Contrary to popular belief, ad...
Machine Learning Animals Milk Cattle Hyperspectral Imaging Food Contamination
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