AIMC Topic: Smell

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Machine learning prediction and classification of behavioral selection in a canine olfactory detection program.

Scientific reports Aug 1, 2023
There is growing interest in canine behavioral research specifically for working dogs. Here we take advantage of a dataset of a Transportation Safety Administration olfactory detection cohort of 628 Labrador Retrievers to perform Machine Learning (ML...
Machine Learning Algorithms Supervised Machine Learning Smell Mental Processes Animals Dogs
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The potential for clinical application of automatic quantification of olfactory bulb volume in MRI scans using convolutional neural networks.

NeuroImage. Clinical Apr 25, 2023
The olfactory bulbs (OBs) play a key role in olfactory processing; their volume is important for diagnosis, prognosis and treatment of patients with olfactory loss. Until now, measurements of OB volumes have been limited to quantification of manually...
Humans Smell Neural Networks, Computer Olfactory Bulb Magnetic Resonance Imaging
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Robust Moth-Inspired Algorithm for Odor Source Localization Using Multimodal Information.

Sensors (Basel, Switzerland) Jan 28, 2023
Odor-source localization, by which one finds the source of an odor by detecting the odor itself, is an important ability to possess in order to search for leaking gases, explosives, and disaster survivors. Although many animals possess this ability, ...
Bombyx Smell Moths Female Animals Algorithms Robotics Male Odorants
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Artificial Olfactory Neuron for an In-Sensor Neuromorphic Nose.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 15, 2022
A neuromorphic module of an electronic nose (E-nose) is demonstrated by hybridizing a chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single transistor neuron (1T-neuron) made of a metal-oxide-semiconductor field-effect tran...
Neural Networks, Computer Smell Electronic Nose Oxides Neurons
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Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts.

Sensors (Basel, Switzerland) Jan 7, 2022
Current developments in artificial olfactory systems, also known as electronic nose (e-nose) systems, have benefited from advanced machine learning techniques that have significantly improved the conditioning and processing of multivariate feature-ri...
Neurons Smell Machine Learning Algorithms Neural Networks, Computer
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The smell of lung disease: a review of the current status of electronic nose technology.

Respiratory research Sep 17, 2021
There is a need for timely, accurate diagnosis, and personalised management in lung diseases. Exhaled breath reflects inflammatory and metabolic processes in the human body, especially in the lungs. The analysis of exhaled breath using electronic nos...
Lung Diseases Smell Electronic Nose Exhalation Humans Machine Learning Precision Medicine
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An Ensemble Learning Method for Robot Electronic Nose with Active Perception.

Sensors (Basel, Switzerland) Jun 7, 2021
The electronic nose is the olfactory organ of the robot, which is composed of a large number of sensors to perceive the smell of objects through free diffusion. Traditionally, it is difficult to realize the active perception function, and it is diffi...
Machine Learning Robotics Smell Perception Odorants Electronic Nose Nose
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Bioinspired multisensory neural network with crossmodal integration and recognition.

Nature communications Feb 18, 2021
The integration and interaction of vision, touch, hearing, smell, and taste in the human multisensory neural network facilitate high-level cognitive functionalities, such as crossmodal integration, recognition, and imagination for accurate evaluation...
Neural Networks, Computer Imagination Smell Learning Touch Vision, Ocular Humans Biomimetics Neurons Recognition, Psychology Taste
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DeepLabStream enables closed-loop behavioral experiments using deep learning-based markerless, real-time posture detection.

Communications biology Jan 29, 2021
In general, animal behavior can be described as the neuronal-driven sequence of reoccurring postures through time. Most of the available current technologies focus on offline pose estimation with high spatiotemporal resolution. However, to correlate ...
Optogenetics Conditioning, Classical Photic Stimulation Head Movements Animals Mice, Inbred C57BL Behavior, Animal Video Recording Time Factors Light Mice Olfactory Perception Smell Image Processing, Computer-Assisted Odorants Deep Learning Thalamus Posture
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Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network.

Sensors (Basel, Switzerland) Jun 24, 2020
The acceptance of a food product by the consumer depends, as the most important factor, on its sensory properties. Therefore, it is clear that the food industry needs to know the perceptions of sensory attributes to know the acceptability of a produc...
Cheese Food Analysis Neural Networks, Computer Taste Spectroscopy, Near-Infrared Smell
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