AIMC Topic: Volatile Organic Compounds
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Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation.
IEEE transactions on pattern analysis and machine intelligence
Oct 4, 2022
Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmentation, i.e., training accurate semantic segmentation models using bound...
Single-Shot Object Detection via Feature Enhancement and Channel Attention.
Sensors (Basel, Switzerland)
Sep 10, 2022
Features play a critical role in computer vision tasks. Deep learning methods have resulted in significant breakthroughs in the field of object detection, but it is still an extremely challenging obstacle when an object is very small. In this work, w...
The Cognitive Transformation of Japanese Language Education by Artificial Intelligence Technology in the Wireless Network Environment.
Computational intelligence and neuroscience
Jul 7, 2022
This study aims to solve the multiscale problems faced by the current classroom student behavior target detection based on the convolutional neural network (CNN) in the wireless network environment. Firstly, the recent reform of Japanese language edu...
Multiple-Attention Mechanism Network for Semantic Segmentation.
Sensors (Basel, Switzerland)
Jun 13, 2022
Contextual information and the dependencies between dimensions is vital in image semantic segmentation. In this paper, we propose a multiple-attention mechanism network (MANet) for semantic segmentation in a very effective and efficient way. Concrete...
A pilot study for the prediction of liver function related scores using breath biomarkers and machine learning.
Scientific reports
Feb 7, 2022
Volatile organic compounds (VOCs) present in exhaled breath can help in analysing biochemical processes in the human body. Liver diseases can be traced using VOCs as biomarkers for physiological and pathophysiological conditions. In this work, we pro...
Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling.
Molecules (Basel, Switzerland)
Aug 23, 2021
Wine aroma is an important quality trait in wine, influenced by its volatile compounds. Many factors can affect the composition and levels (concentration) of volatile aromatic compounds, including the water status of grapevines, canopy management, an...
Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning.
Food chemistry
Jan 15, 2021
Identification of honey origin based on specific chemical markers is important for honey authentication. This study is aimed to differentiate Malaysian stingless bee honey from different entomological origins (Heterotrigona bakeri, Geniotrigona thora...
Breath biopsy of breast cancer using sensor array signals and machine learning analysis.
Scientific reports
Jan 8, 2021
Breast cancer causes metabolic alteration, and volatile metabolites in the breath of patients may be used to diagnose breast cancer. The objective of this study was to develop a new breath test for breast cancer by analyzing volatile metabolites in t...
Gas-phase volatilomic approaches for quality control of brewing hops based on simultaneous GC-MS-IMS and machine learning.
Analytical and bioanalytical chemistry
Aug 4, 2020
For the first time, a prototype HS-GC-MS-IMS dual-detection system is presented for the analysis of volatile organic compounds (VOCs) in fields of quality control of brewing hop. With a soft ionization and drift time-based ion separation in IMS and a...
An Array of MOX Sensors and ANNs to Assess Grated Parmigiano Reggiano Cheese Packs' Compliance with CFPR Guidelines.
Biosensors
May 2, 2020
Parmigiano Reggiano cheese is one of the most appreciated Italian foods on account of its high nutrient content and taste. Due to its high cost, these characteristics make this product subject to counterfeiting in different forms. In this study, an a...
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