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Data-driven elucidation of flavor chemistry
Flavor molecules are commonly used in the food industry to enhance product quality and
consumer experiences but are associated with potential human health risks, highlighting the …
consumer experiences but are associated with potential human health risks, highlighting the …
Odor reproduction technology using a small set of odor components
D Prasetyawan, T Nakamoto - IEEJ Transactions on Electrical …, 2024 - Wiley Online Library
Replicating specific scents by mixing 'base odors' is the main idea behind the concept of
odor reproduction. Just as primary colors can be combined to generate a wide range of …
odor reproduction. Just as primary colors can be combined to generate a wide range of …
Odor prediction of whiskies based on their molecular composition
Aroma compositions are usually complex mixtures of odor-active compounds exhibiting
diverse molecular structures. Due to chemical interactions of these compounds in the …
diverse molecular structures. Due to chemical interactions of these compounds in the …
Smell compounds classification using UMAP to increase knowledge of odors and molecular structures linkages
M Rugard, T Jaylet, O Taboureau, A Tromelin… - PloS one, 2021 - journals.plos.org
This study aims to highlight the relationships between the structure of smell compounds and
their odors. For this purpose, heterogeneous data sources were screened, and 6038 …
their odors. For this purpose, heterogeneous data sources were screened, and 6038 …
[PDF][PDF] EXPLORING COMPRESSION STRATEGIES FOR LARGE LANGUAGE MODELS TOWARDS EFFICIENT ARTIFICIAL INTELLIGENCE IMPLEMENTATIONS
The rapid advancements of Artificial Intelligence (AI) technologies, particularly Large
Language Models (LLMs), have brought and accelerated significant innovations across …
Language Models (LLMs), have brought and accelerated significant innovations across …
Olfactory perception prediction model inspired by olfactory lateral inhibition and deep feature combination
Y Wang, Q Zhao, M Ma, J Xu - Applied Intelligence, 2023 - Springer
Finding the relationship between the chemical structure and physicochemical properties of
odor molecules and olfactory perception prediction, ie quantitative structure-odor …
odor molecules and olfactory perception prediction, ie quantitative structure-odor …
[HTML][HTML] Universal strategy for rapid design and analysis of gas detection peptide chips with positional preference
H Zhang, X Zhang, Y Si, H Li, J Han, C Yang… - Sensing and Bio-Sensing …, 2024 - Elsevier
The design and analysis of gas detection chips directly affect their detection efficiency and
applicability. Detection devices are currently restricted by detection principles, facing …
applicability. Detection devices are currently restricted by detection principles, facing …
[HTML][HTML] Decoding Structure–Odor Relationship Based on Hypergraph Neural Network and Deep Attentional Factorization Machine
Y Wang, Q Zhao, M Ma, J Xu - Applied Sciences, 2022 - mdpi.com
Understanding the relationship between the chemical structure and physicochemical
properties of odor molecules and olfactory perception, ie, the structure–odor relationship …
properties of odor molecules and olfactory perception, ie, the structure–odor relationship …
Modeling multioutput response uses ridge regression and MLP neural network with tuning hyperparameter through cross validation
The multiple regression model is very popular among researchers in both field of social and
science because it is easy to interpret and have a well-established theoretical framework …
science because it is easy to interpret and have a well-established theoretical framework …