AIMC Topic: Smell

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Improved spatial accuracy of functional maps in the rat olfactory bulb using supervised machine learning approach.

NeuroImage May 25, 2016
Functional MRI (fMRI) is a popular and important tool for noninvasive mapping of neural activity. As fMRI measures the hemodynamic response, the resulting activation maps do not perfectly reflect the underlying neural activity. The purpose of this wo...
Male Spatio-Temporal Analysis Rats Magnetic Resonance Imaging Rats, Sprague-Dawley Reproducibility of Results Sensitivity and Specificity Animals Algorithms Image Interpretation, Computer-Assisted Image Enhancement Brain Mapping Pattern Recognition, Automated Olfactory Bulb Supervised Machine Learning Smell Electric Stimulation
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Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system.

Bioinspiration & biomimetics Feb 18, 2016
In many application domains, conventional e-noses are frequently outperformed in both speed and accuracy by their biological counterparts. Exploring potential bio-inspired improvements, we note a number of neuronal network models have demonstrated so...
Models, Neurological Equipment Design Signal Processing, Computer-Assisted Receptors, Odorant Animals Nerve Net Computer Systems Equipment Failure Analysis Biomimetics Electronic Nose Neural Networks, Computer Insecta Computer Simulation Smell
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Emergence of Leadership in a Group of Autonomous Robots.

PloS one Sep 4, 2015
In this paper we examine the factors contributing to the emergence of leadership in a group, and we explore the relationship between the role of the leader and the behavioural capabilities of other individuals. We use a simulation technique where a g...
Smell Leadership Models, Psychological Vision, Ocular Neural Networks, Computer Robotics Machine Learning Pattern Recognition, Automated
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Sliding-window enhanced olfactory visual images combined with deep learning to predict TVB-N content in chilled mutton.

Meat science Jul 1, 2025
A novel data enhancement method for olfactory visual images was proposed in this study, combined with deep learning to achieve the accurate prediction of total volatile basic nitrogen (TVB-N) content in chilled mutton. Specifically, the sliding-windo...
Animals Odorants Volatile Organic Compounds Smell Deep Learning Support Vector Machine Nitrogen
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An Artificial Olfactory System Based on Synaptic Transistors for Precepting Hazardous Gas to Simulate Organ Injury.

ACS sensors May 23, 2025
Recent advances in artificial olfactory systems have attracted significant attention for their potential applications in humanoid robots and intelligent nasal devices capable of identifying objects and sensing hazards; however, the memory function is...
Humans Transistors, Electronic Smell Gases Support Vector Machine Formaldehyde Zinc Oxide
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Intelligent Olfactory System Utilizing Ceria Nanoparticle-Integrated Laser-Induced Graphene.

ACS nano May 13, 2025
The digitization of human senses has driven innovation across various technologies and transformed our daily lives, yet the digitization of olfaction remains a challenging frontier. Artificial olfactory systems, or electronic noses (e-noses), offer g...
Smell Electronic Nose Cerium Humans Lasers Support Vector Machine Nanoparticles Odorants Graphite
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Odor classification: Exploring feature performance and imbalanced data learning techniques.

PloS one Jan 1, 2025
This research delves into olfaction, a sensory modality that remains complex and inadequately understood. We aim to fill in two gaps in recent studies that attempted to use machine learning and deep learning approaches to predict human smell percepti...
Olfactory Perception Humans Mass Spectrometry Machine Learning Odorants Smell
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Predictive Machine Learning Models for Olfaction.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
A classical problem in neuroscience, biology, and chemistry is linking the chemical structure of odorants to their olfactory perception. This difficulty arises from the subjective nature of odor perception, incomplete understanding of the physiologic...
Smell Olfactory Perception Computational Biology Odorants Humans Machine Learning
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The biology of smell is a mystery - AI is helping to solve it.

Nature Sep 1, 2024
Odorants Smell Olfactory Perception Humans Artificial Intelligence Animals
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Predicting odor profile of food from its chemical composition: Towards an approach based on artificial intelligence and flavorists expertise.

Mathematical biosciences and engineering : MBE Nov 14, 2023
Odor is central to food quality. Still, a major challenge is to understand how the odorants present in a given food contribute to its specific odor profile, and how to predict this olfactory outcome from the chemical composition. In this proof-of-con...
Odorants Smell Artificial Intelligence Machine Learning Fuzzy Logic
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