Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366811172> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4366811172 endingPage "552" @default.
- W4366811172 startingPage "547" @default.
- W4366811172 abstract "Lung cancer is one of the most threatening malignancies to human health and life. Early detection and treatment can improve the five-year survival rate. As a key biomarker for lung cancer diagnosis, toluene can be used for breath simulation analysis of lung cancer patients, which can complement the existing lung cancer diagnosis methods and improve the diagnosis rate of lung cancer. In this paper, a multi-task simple transformer model is proposed in the electronic nose system to conduct gas-sensing experiments on toluene in low-concentration environments. Encoder blocks are shared and two tasks are performed simultaneously, achieving fast and accurate target recognition and concentration prediction at low concentrations. The accuracy of the model on the target recognition task is 98.52%, which is better than the K-Nearest Neighbors (KNN) (89.06%) and the Support Vector Machine (SVM) (91.17%). The root mean square error on the concentration prediction task is 0.0369 ppm, outperforming the Support Vector Regression (SVR) (0.0898 ppm) and the Extreme Gradient Boosting (XGBoost) (0.0725 ppm). The experimental results show that the MT-Simpleformer has impressive prediction performance for the identification and concentration of a lung cancer biomarker (toluene) under dynamic, low-concentration conditions. It provides an effective reference method for rapid, economical, and non-invasive lung cancer screening." @default.
- W4366811172 created "2023-04-25" @default.
- W4366811172 creator A5017991618 @default.
- W4366811172 creator A5020467165 @default.
- W4366811172 creator A5047314589 @default.
- W4366811172 creator A5048982101 @default.
- W4366811172 creator A5059772905 @default.
- W4366811172 date "2023-01-01" @default.
- W4366811172 modified "2023-09-27" @default.
- W4366811172 title "Multi-task Simpleformer Model Based Lung Cancer Biomarker Toluene Detection Algorithm" @default.
- W4366811172 cites W2017224356 @default.
- W4366811172 cites W2053319809 @default.
- W4366811172 cites W2094067594 @default.
- W4366811172 cites W2107610392 @default.
- W4366811172 cites W2610966464 @default.
- W4366811172 cites W3127296412 @default.
- W4366811172 doi "https://doi.org/10.1007/978-981-99-0416-7_54" @default.
- W4366811172 hasPublicationYear "2023" @default.
- W4366811172 type Work @default.
- W4366811172 citedByCount "0" @default.
- W4366811172 crossrefType "book-chapter" @default.
- W4366811172 hasAuthorship W4366811172A5017991618 @default.
- W4366811172 hasAuthorship W4366811172A5020467165 @default.
- W4366811172 hasAuthorship W4366811172A5047314589 @default.
- W4366811172 hasAuthorship W4366811172A5048982101 @default.
- W4366811172 hasAuthorship W4366811172A5059772905 @default.
- W4366811172 hasConcept C11413529 @default.
- W4366811172 hasConcept C12267149 @default.
- W4366811172 hasConcept C143998085 @default.
- W4366811172 hasConcept C153180895 @default.
- W4366811172 hasConcept C154945302 @default.
- W4366811172 hasConcept C178790620 @default.
- W4366811172 hasConcept C185592680 @default.
- W4366811172 hasConcept C23895516 @default.
- W4366811172 hasConcept C2776256026 @default.
- W4366811172 hasConcept C2778142098 @default.
- W4366811172 hasConcept C2781197716 @default.
- W4366811172 hasConcept C41008148 @default.
- W4366811172 hasConcept C55493867 @default.
- W4366811172 hasConcept C71924100 @default.
- W4366811172 hasConceptScore W4366811172C11413529 @default.
- W4366811172 hasConceptScore W4366811172C12267149 @default.
- W4366811172 hasConceptScore W4366811172C143998085 @default.
- W4366811172 hasConceptScore W4366811172C153180895 @default.
- W4366811172 hasConceptScore W4366811172C154945302 @default.
- W4366811172 hasConceptScore W4366811172C178790620 @default.
- W4366811172 hasConceptScore W4366811172C185592680 @default.
- W4366811172 hasConceptScore W4366811172C23895516 @default.
- W4366811172 hasConceptScore W4366811172C2776256026 @default.
- W4366811172 hasConceptScore W4366811172C2778142098 @default.
- W4366811172 hasConceptScore W4366811172C2781197716 @default.
- W4366811172 hasConceptScore W4366811172C41008148 @default.
- W4366811172 hasConceptScore W4366811172C55493867 @default.
- W4366811172 hasConceptScore W4366811172C71924100 @default.
- W4366811172 hasLocation W43668111721 @default.
- W4366811172 hasOpenAccess W4366811172 @default.
- W4366811172 hasPrimaryLocation W43668111721 @default.
- W4366811172 hasRelatedWork W2041399278 @default.
- W4366811172 hasRelatedWork W2099369243 @default.
- W4366811172 hasRelatedWork W2136184105 @default.
- W4366811172 hasRelatedWork W2141705618 @default.
- W4366811172 hasRelatedWork W2147245425 @default.
- W4366811172 hasRelatedWork W2153189372 @default.
- W4366811172 hasRelatedWork W2358824780 @default.
- W4366811172 hasRelatedWork W4223656335 @default.
- W4366811172 hasRelatedWork W2187500075 @default.
- W4366811172 hasRelatedWork W2345184372 @default.
- W4366811172 isParatext "false" @default.
- W4366811172 isRetracted "false" @default.
- W4366811172 workType "book-chapter" @default.