Data-driven elucidation of flavor chemistry

X Kou, P Shi, C Gao, P Ma, H **ng, Q Ke… - Journal of Agricultural …, 2023 - ACS Publications
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 …

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 prediction of whiskies based on their molecular composition

S Singh, D Schicker, H Haug, T Sauerwald… - Communications …, 2024 - nature.com
Aroma compositions are usually complex mixtures of odor-active compounds exhibiting
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 …

[PDF][PDF] EXPLORING COMPRESSION STRATEGIES FOR LARGE LANGUAGE MODELS TOWARDS EFFICIENT ARTIFICIAL INTELLIGENCE IMPLEMENTATIONS

DM Petroşanu, A Pîrjan - Journal of Information Systems & Operations …, 2024 - rau.ro
The rapid advancements of Artificial Intelligence (AI) technologies, particularly Large
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 …

[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 …

[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 …

Modeling multioutput response uses ridge regression and MLP neural network with tuning hyperparameter through cross validation

WH Nugroho, S Handoyo, HC Hsieh… - International …, 2022 - search.proquest.com
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 …