Advanced algorithms for low dimensional metal oxides-based electronic nose application: A review
X Wang, Y Zhou, Z Zhao, X Feng, Z Wang, M Jiao - Crystals, 2023 - mdpi.com
Low-dimensional metal oxides-based electronic noses have been applied in various fields,
such as food quality, environmental assessment, coal mine risk prediction, and disease …
such as food quality, environmental assessment, coal mine risk prediction, and disease …
Detecting pork adulteration in beef for halal authentication using an optimized electronic nose system
Recently, the issue of food authentication has gained attention, especially halal
authentication, because of cases of pork adulteration in beef. Many studies have developed …
authentication, because of cases of pork adulteration in beef. Many studies have developed …
[HTML][HTML] Ensemble machine learning approach for electronic nose signal processing
Electronic nose (e-nose) systems have been reported to be used in many areas as rapid,
low-cost, and non-invasive instruments. Especially in meat production and processing, e …
low-cost, and non-invasive instruments. Especially in meat production and processing, e …
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose
Breath pattern analysis based on an electronic nose (e-nose), which is a noninvasive, fast,
and low-cost method, has been continuously used for detecting human diseases, including …
and low-cost method, has been continuously used for detecting human diseases, including …
Beef quality classification with reduced e-nose data features according to beef cut types
Ensuring safe food supplies has recently become a serious problem all over the world.
Controlling the quality, spoilage, and standing time for products with a short shelf life is a …
Controlling the quality, spoilage, and standing time for products with a short shelf life is a …
Electronic nose-based monitoring of vacuum-packaged chicken meat freshness in room and refrigerated storage
Monitoring chicken meat is a crucial process for food safety and consumer health, as it helps
prevent the growth of harmful bacteria, minimizing the risk of foodborne illnesses. Currently …
prevent the growth of harmful bacteria, minimizing the risk of foodborne illnesses. Currently …
Rapid odor recognition based on reliefF algorithm using electronic nose and its application in fruit identification and classification
J Wen, Y Zhao, Q Rong, Z Yang, J Yin… - Journal of Food …, 2022 - Springer
Recognition time-consuming and accuracy are two important parameters for an electronic
nose (E-nose) system. Most reported E-nose systems were based on the steady-state …
nose (E-nose) system. Most reported E-nose systems were based on the steady-state …
Quality classification of stored wheat based on evidence reasoning rule and stacking ensemble learning
H Jiang, S Zhang, Z Yang, L Zhao, Y Zhou… - … and Electronics in …, 2023 - Elsevier
Classification of stored wheat quality is extremely important for reducing wheat storage
losses and ensuring food security. However, the limitations of conventional single models …
losses and ensuring food security. However, the limitations of conventional single models …
A residual dense lightweight group convolution neural network for identifying the gas information of different levels of tea
C Yan, A Lu, D Song - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In the tea market, it is common for low-quality tea to cheat consumers by pretending to be
high-quality. This work proposes a fast and nondestructive tea quality detection method …
high-quality. This work proposes a fast and nondestructive tea quality detection method …
Intelligent Interpretation of Dissolved Gases in Transformer Oil With Electronic Nose and Machine Learning
Dissolved gas analysis (DGA) is crucial for identifying incipient failures in transformers by
analyzing gas concentrations due to degradation. However, its high cost and time …
analyzing gas concentrations due to degradation. However, its high cost and time …